2024 publications

Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede, Roberto Bifulco, Carolin Lawrence (2024 ) AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents, In: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations), pp. 185-193
Usman Mahmood, Amita Shukla-dave, Heang-ping Chan, Karen Drukker, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski (2024 ) Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing, In: British Journal of Radiology: Artificial Intelligence
Luca Gioacchini, Marco Mellia, Idilio Drago, Alexander Delsanto, Giuseppe Siracusano, Roberto Bifulco (2024 ) AutoPenBench: Benchmarking Generative Agents for Penetration Testing
Giordano Paoletti, Luca Gioacchini, Marco Mellia, Luca Vassio, Jussara M. Almeida (2024 ) Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks, In: Workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR) at AAAI 2024
Vergara Daniel, Armato Samuel G., Hadjiiski Lubomir, Drukker Karen, Kenny Cha, Heang-ping Chan, Lia Morra, Janne J Näppi, Berkman Sahiner, Hiroyuki Yoshida, Quan Chen, Thomas M Deserno, Hayit Greenspan, Henkjan Huisman, Zhimin Huo, Richard Mazurchuk, Nicholas Petrick, Daniele Regge, Ravi Samala, Ronald M Summers, Kenji Suzuki, Georgia Tourassi, Amita Shukla-dave, Usman Mahmood (2024 ) Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging, In: JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, pp. 341-343, ISSN: 1546-1440
Moreno La Quatra, Salvatore Greco, Luca Cagliero, Michela Tonti, Francesca Dragotto, Rachele Raus, Stefania Cavagnoli, Tania Cerquitelli (2024 ) Building Foundations for Inclusiveness through Expert-Annotated Data, In: Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference
Salvatore Greco, Bartolomeo Vacchetti, Daniele Apiletti, Tania Cerquitelli (2024 ) DriftLens: A Concept Drift Detection Tool, In: Advances in Database Technology - Volume 27, pp. 806-809
Kai Huang, Luca Gioacchini, Marco Mellia, Luca Vassio (2024 ) Dynamic Cluster Analysis to Detect and Track Novelty in Network Telescopes, In: 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), pp. 287-296, ISBN: 979-8-3503-6729-4
Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-chii Liu, Qinyu Chen, Zheng-jun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien Crouzet, Douglas Mclelland, Oliver Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lică, David Dinucu-jianu, Cătălin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai (2024 ) Event-Based Eye Tracking. AIS 2024 Challenge Survey, In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 5810-5825
Luca Gioacchini, Welton Santos, Barbara Lopes, Idilio Drago, Marco Mellia, M. Almeida Jussara, André Gonçalves Marcos (2024 ) Explainable Stacking Models based on Complementary Traffic Embeddings, In: 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), pp. 261-272, ISBN: 979-8-3503-6729-4
G. Ciravegna, F. Galante, D. Giordano, T. Cerquitelli, M. Mellia (2024 ) Fault Prediction in Resistance Spot Welding: A Comparison of Machine Learning Approaches, In: ELECTRONICS, ISSN: 2079-9292
Kai Huang, Luca Gioacchini, Marco Mellia, Luca Vassio (2024 ) Incremental Federated Host Embeddings for Network Telescopes Traffic Analysis, In: 2024 IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW), pp. 41-46, ISBN: 979-8-3503-5471-3
Matteo Boffa, Idilio Drago, Marco Mellia, Luca Vassio, Danilo Giordano, Rodolfo Valentim, Zied Ben Houidi (2024 ) LogPrécis: Unleashing language models for automated malicious log analysis, In: COMPUTERS & SECURITY, ISSN: 0167-4048
Gianluca Perna, Martino Trevisan, Danilo Giordano, Daniel Perdices, Marco Mellia (2024 ) Monitoring Web QoE in Satellite Networks from Passive Measurements, In: 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), pp. 669-676
Qiong Liu, Tianzhu Zhang, Masoud Hemmatpour, Han Qiu, Dong Zhang, Chung Shue Chen, Marco Mellia, Armen Aghasaryan (2024 ) Operationalizing AI/ML in Future Networks: A Bird's Eye View from the System Perspective, In: IEEE COMMUNICATIONS MAGAZINE, pp. 1-7, ISSN: 0163-6804
P. Bich, C. Boretti, L. Prono, F. Pareschi, R. Rovatti, G. Setti (2024 ) Optimizing Vision Transformers: Leveraging Max and Min Operations for Efficient Pruning, In: Proceedings of the 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS), pp. 337-341, ISBN: 979-8-3503-8363-8
Giordano Paoletti, Lorenzo Dall’amico, Kyriaki Kalimeri, Jacopo Lenti, Yelena Mejova, Daniela Paolotti, Michele Starnini, Michele Tizzani (2024 ) Political context of the European vaccine debate on Twitter, In: SCIENTIFIC REPORTS, ISSN: 2045-2322
Irene Benedetto, Moreno La Quatra, Luca Cagliero, Luca Vassio, Martino Trevisan (2024 ) TASP: Topic-based abstractive summarization of Facebook text posts, In: EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174
Stefan Geissler, Andra Lutu, Florian Wamser, Thomas Favale, Viktoria Vomhoff, Michael Krolikowski, Marco Mellia, Diego Perino, Tobias Hossfeld (2024 ) Untangling IoT Global Connectivity: The Importance of Mobile Signaling Traffic, In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 4435-4449, ISSN: 1932-4537
Rodolfo Vieira Valentim, Idilio Drago, Marco Mellia, Federico Cerutti (2024 ) X-squatter: AI Multilingual Generation of Cross-Language Sound-squatting, In: ACM TRANSACTIONS ON PRIVACY AND SECURITY, ISSN: 2471-2566

2023 publications

Andrea Cavallo, Claas Grohnfeldt, Michele Russo, Giulio Lovisotto, Luca Vassio (2023 ) 2-hop Neighbor Class Similarity (2NCS): A graph structural metric indicative of graph neural network performance, In: 3rd Workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR) at AAAI 2023
Nicolo Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Raffaele Martone, Ulf Schlichtmann, Giovanni Squillero (2023 ) A Multi-Label Active Learning Framework for Microcontroller Performance Screening, In: IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, pp. 1-14, ISSN: 0278-0070
Umberto Albertin, Giuseppe Pedone, Matilde Brossa, Giovanni Squillero, Marcello Chiaberge (2023 ) A Real-Time Novelty Recognition Framework Based on Machine Learning for Fault Detection, In: ALGORITHMS, pp. 1-26, ISSN: 1999-4893
Martino Trevisan, Francesca Soro, Marco Mellia, Idilio Drago, Ricardo Morla (2023 ) Attacking DoH and ECH: Does Server Name Encryption Protect Users’ Privacy?, In: ACM TRANSACTIONS ON INTERNET TECHNOLOGY, pp. 1-22, ISSN: 1533-5399
Moreno La Quatra, Luca Cagliero (2023 ) BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text Summarization, In: FUTURE INTERNET, pp. 1-13, ISSN: 1999-5903
Luca Piano, Filippo Gabriele Prattico', Alessandro Sebastian Russo, Lorenzo Lanari, Lia Morra, Fabrizio Lamberti (2023 ) Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification, In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023, pp. 4881-4891
Valeria Mariano, Jorge A. Tobon Vasquez, Mario R. Casu, Francesca Vipiana (2023 ) Brain Stroke Classification via Machine Learning Algorithms Trained with a Linearized Scattering Operator, In: DIAGNOSTICS, ISSN: 2075-4418
Luca Gioacchini, Marco Mellia, Luca Vassio, Idilio Drago, Giulia Milan, Zied Ben Houidi, Dario Rossi (2023 ) Cross-network Embeddings Transfer for Traffic Analysis, In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 1-13, ISSN: 1932-4537
Giuseppe Gallipoli, Moreno La Quatra, Daniele Rege Cambrin, Salvatore Greco, Luca Cagliero (2023 ) DANTE at GeoLingIt: Dialect-Aware Multi-Granularity Pre-training for Locating Tweets within Italy, In: Proceedings of the Eighth Evaluation Campaign of Natural LanguageProcessing and Speech Tools for Italian. Final Workshop (EVALITA 2023), Parma, Italy, September 7th-8th, 2023
Alessandro Ciociola, Danilo Giordano, Luca Vassio, Marco Mellia (2023 ) Data Driven Scalability and Profitability Analysis in Free Floating Electric Car Sharing Systems, In: INFORMATION SCIENCES, pp. 545-561, ISSN: 0020-0255
Luca Marchionna, Giulio Pugliese, Mauro Martini, Simone Angarano, Francesco Salvetti, Marcello Chiaberge (2023 ) Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System, In: SENSORS, ISSN: 1424-8220
Luca Colomba, Luca Cagliero, Paolo Garza (2023 ) Density-based Clustering by Means of Bridge Point Identification, In: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, pp. 1-14, ISSN: 1041-4347
Lia Morra, Alberto Azzari, Letizia Bergamasco, Marco Braga, Luigi Capogrosso, Federico Delrio, Giuseppe Di Giacomo, Simone Eiraudo, Giorgia Ghione, Rocco Giudice, Alkis Koudounas, Luca Piano, Daniele Rege Cambrin, Matteo Risso, Marco Rondina, Alessandro Sebastian Russo, Marco Russo, Francesco Taioli, Lorenzo Vaiani, Chiara Vercellino (2023 ) Designing Logic Tensor Networks for Visual Sudoku puzzle classification, In: 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023), pp. 223-232
Luca Cagliero, Silvia Buccafusco, Francesco Vaccarino, Lucia Salvatori, Riccardo Loti (2023 ) Detecting industrial vehicles’ duty levels using contrastive learning, In: Proceedings on the 2023 IEEE International Conference on Big Data, pp. 1630-1636, ISBN: 979-8-3503-2445-7
Nicolò Chiapello, Ilario Gerlero, Valentina Gatteschi, Fabrizio Lamberti (2023 ) Driver State Monitoring through Driving Style Estimation, In: Proc. 41st IEEE International Conference on Consumer Electronics (ICCE 2023)
Daniele G. Gioia, Jacopo Fior, Luca Cagliero (2023 ) Early portfolio pruning: a scalable approach to hybrid portfolio selection, In: KNOWLEDGE AND INFORMATION SYSTEMS, ISSN: 0219-1377
Francesca Soro, Thomas Favale, Danilo Giordano, Idilio Drago, Tommaso Rescio, Marco Mellia, Zied Ben Houidi, Dario Rossi (2023 ) Enlightening the Darknets: Augmenting Darknet Visibility with Active Probes, In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 1-1, ISSN: 1932-4537
Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli (2023 ) Explaining deep convolutional models by measuring the influence of interpretable features in image classification, In: DATA MINING AND KNOWLEDGE DISCOVERY, ISSN: 1573-756X
Alkis Koudounas, Eliana Pastor, Luca Cagliero, Elena Baralis (2023 ) Exploring Subgroup Performance In End-to-End Speech Models
Luca Gioacchini, Andrea Cavallo, Marco Mellia, Luca Vassio (2023 ) Exploring Temporal GNN Embeddings for Darknet Traffic Analysis, In: Proceedings of the 2nd on Graph Neural Networking Workshop 2023, pp. 31-36, ISBN: 9798400704482
Francesco Manigrasso, Lia Morra, Fabrizio Lamberti (2023 ) Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching, In: Proceedings of the 22nd International Conference on IMAGE ANALYSIS AND PROCESSING (ICIAP 2023), pp. 456-467
Francesco De Santis, Danilo Giordano, Marco Mellia, Alessia Damilano (2023 ) GLEm-Net: Unified Framework for Data Reduction with Categorical and Numerical Features, In: 2023 IEEE International Conference on Big Data (Big Data)
Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra (2023 ) HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers, In: Explainable Artificial Intelligence. xAI 2023, pp. 475-498, ISBN: 978-3-031-44066-3
Nikhil Jha, Martino Trevisan, Marco Mellia, Rodrigo Irarrazaval, Daniel Fernandez (2023 ) I Refuse if You Let Me: Studying User Behavior with Privacy Banners at Scale, In: Network Traffic Measurement and Analysis conference, pp. 1-9, ISBN: 978-3-903176-58-4
Luca Gioacchini, Luca Vassio, Marco Mellia, Idilio Drago, Zied Ben Houidi, Dario Rossi (2023 ) i-DarkVec: Incremental Embeddings for Darknet Traffic Analysis, In: ACM TRANSACTIONS ON INTERNET TECHNOLOGY, pp. 1-28, ISSN: 1533-5399
Moreno La Quatra, Salvatore Greco, Luca Cagliero, Tania Cerquitelli (2023 ) Inclusively: An AI-Based Assistant for Inclusive Writing, In: Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, pp. 361-365, ISBN: 978-3-031-43429-7
Alessandro Russo, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra (2023 ) L-TReiD: Logic Tensor Transformer for Re-Identification, In: Proceedings of the 18th International Symposium on Visual Computing (ISVC), pp. 345-357, ISBN: 978-3-031-47965-6
Silvia Buccafusco, Luca Cagliero, Andrea Megaro, Francesco Vaccarino, Riccardo Loti, Lucia Salvatori (2023 ) Learning industrial vehicles’ duty patterns: A real case, In: COMPUTERS IN INDUSTRY, pp. 1-15, ISSN: 0166-3615
Farbod Khosro Anjom, Francesco Vaccarino, Laura Valentina Socco (2023 ) Machine Learning for Seismic Exploration: where are we and how far are we from the Holy Grail?, In: GEOPHYSICS, pp. 1-111, ISSN: 0016-8033
Flavio Giobergia (2023 ) Machine learning with limited label availability: algorithms and applications
Franco Galante, Luca Vassio, Michele Garetto, Emilio Leonardi (2023 ) Modeling communication asymmetry and content personalization in online social networks in online social networks, In: ONLINE SOCIAL NETWORKS AND MEDIA, pp. 1-20, ISSN: 2468-6964
Bartolomeo Vacchetti, Tania Cerquitelli (2023 ) Movie Lens: Discovering and Characterizing Editing Patterns in the Analysis of Short Movie Sequences, In: Computer Vision – ECCV 2022 Workshops. ECCV 2022. Lecture Notes in Computer Science, pp. 660-675, ISBN: 978-3-031-25068-2
Philippe Bich, Luciano Prono, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti (2023 ) Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation, In: Proceedings of the 2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 629-633, ISBN: 979-8-3503-0210-3
N. Jha, M. Trevisan, E. Leonardi, M. Mellia (2023 ) On the Robustness of Topics API to a Re-Identification Attack, In: Proceedings on Privacy Enhancing Technologies, pp. 66-78
Chiara Boretti, Philippe Bich, Fabio Pareschi, Luciano Prono, Riccardo Rovatti, Gianluca Setti (2023 ) PEDRo: an Event-based Dataset for Person Detection in Robotics, In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 4065-4070, ISBN: 979-8-3503-0249-3
Nikhil Jha, Luca Vassio, Martino Trevisan, Emilio Leonardi, Marco Mellia (2023 ) Practical anonymization for data streams: z-anonymity and relation with k-anonymity, In: PERFORMANCE EVALUATION, pp. 102329, ISSN: 0166-5316
Cecilia Cognigni, Federico De Lorenzis, Fabrizio Lamberti, Marco Mellia, Greta Vallero, Luca Vassio, Alessandro Visconti, Maurizio Vivarelli (2023 ) READING(&)MACHINE. UN MODELLO PROTOTIPALE PER LA PROMOZIONE DELLA LETTURA IN BIBLIOTECA, In: BIBLIOTECHE OGGI TRENDS, pp. 46-56, ISSN: 2421-3810
A. Speciale, G. Vallero, L. Vassio, M. Mellia (2023 ) Recommendation Systems in Libraries: an Application with Heterogeneous Data Sources, In: 7th International workshop on Data Analytics solutions for Real-LIfe APplications
Marta Tornago, Flavio Giobergia, Luca Menzio, Federico Siviero, Roberta Arcidiacono, Nicolo' Cartiglia, M Costa, M Ferrero, G Gioachin, M Mandurrino, V Sola (2023 ) Silicon sensors with resistive read-out: Machine Learning techniques for ultimate spatial resolution, In: NUCLEAR INSTRUMENTS AND METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT, ISSN: 1872-9576
Thomas Favale (2023 ) Strengthening Privacy and Cybersecurity through Anonymization and Big Data
Alessandro Baldo, Matteo Boffa, Lorenzo Cascioli, Edoardo Fadda, Chiara Lanza, Arianna Ravera (2023 ) The polynomial robust knapsack problem, In: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, pp. 1424-1434, ISSN: 0377-2217
Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra (2023 ) Toward a Realistic Benchmark for Out-of-Distribution Detection, In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), ISBN: 979-8-3503-4503-2
Simone Monaco, Daniele Apiletti (2023 ) Training physics-informed neural networks: One learning to rule them all?, In: RESULTS IN ENGINEERING, pp. 101023, ISSN: 2590-1230
Irene Benedetto, Moreno La Quatra, Luca Cagliero, Luca Vassio, Martino Trevisan (2023 ) Transformer-based Prediction of Emotional Reactions to Online Social Network Posts, In: Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pp. 354-364
Daniele Rege Cambrin, Luca Colomba, Paolo Garza (2023 ) Vision Transformers for Burned Area Delineation, In: CEUR Workshop Proceedings

2022 publications

Bahareh Behkamal, Mahmoud Naghibzadeh, Andrea Pagnani, Mohammad Reza Saberi, Kamal Al Nasr (2022 ) {LPTD}: a novel linear programming-based topology determination method for cryo-{EM} maps, In: BIOINFORMATICS, ISSN: 1367-4803
Indaco Biazzo, Alfredo Braunstein, Luca Dall'asta, Fabio Mazza (2022 ) A Bayesian generative neural network framework for epidemic inference problems, In: SCIENTIFIC REPORTS, pp. 19673, ISSN: 2045-2322
Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli (2022 ) A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery, In: Titolo volume non avvalorato, pp. 3893-3897, ISBN: 978-1-4503-9236-5
Gianluca Perna, Martino Trevisan, Danilo Giordano, Idilio Drago (2022 ) A first look at HTTP/3 adoption and performance, In: COMPUTER COMMUNICATIONS, pp. 115-124, ISSN: 0140-3664
François Michel, Martino Trevisan, Danilo Giordano, Olivier Bonaventure (2022 ) A first look at starlink performance, In: IMC '22: Proceedings of the 22nd ACM Internet Measurement Conference, pp. 130-136, ISBN: 9781450392594
Nikhil Jha, Martino Trevisan, Luca Vassio, Marco Mellia, Stefano Traverso, Alvaro Garcia-recuero, Nikolaos Laoutaris, Amir Mehrjoo, Santiago Andres Azcoitia, Ruben Cuevas Rumin, Kleomenis Katevas, Panagiotis Papadopoulos, Nicolas Kourtellis, Roberto Gonzalez, Xavi Olivares, George-marios Kalatzantonakis-jullien (2022 ) A PIMS Development Kit for New Personal Data Platforms, In: IEEE INTERNET COMPUTING, pp. 79-84, ISSN: 1089-7801
Luca Urbinati, Mario R. Casu (2022 ) A Reconfigurable Depth-Wise Convolution Module for Heterogeneously Quantized DNNs, In: 2022 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 128-132, ISBN: 978-1-6654-8485-5
Alessio Sacco, Flavio Esposito, Guido Marchetto, Paolo Montuschi (2022 ) A Self-Learning Strategy for Task Offloading in UAV Networks, In: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, pp. 4301-4311, ISSN: 1939-9359
Eliana Giovannitti, Sayyidshahab Nabavi, Giovanni Squillero, Alberto Tonda (2022 ) A Virtual Sensor for Backlash in Robotic Manipulators, In: JOURNAL OF INTELLIGENT MANUFACTURING, ISSN: 0956-5515
Lubomir Hadjiiski, Kenny Cha, Heang-ping Chan, Karen Drukker, Lia Morra, Janne J. Näppi, Berkman Sahiner, Hiroyuki Yoshida, Quan Chen, Thomas M. Deserno, Hayit Greenspan, Henkjan Huisman, Zhimin Huo, Richard Mazurchuk, Nicholas Petrick, Daniele Regge, Ravi Samala, Ronald M. Summers, Kenji Suzuki, Georgia Tourassi, Daniel Vergara, Samuel G. Armato Iii (2022 ) AAPM Task Group Report 273: Recommendations on Best Practices for AI and Machine Learning for Computer-Aided Diagnosis in Medical Imaging, In: MEDICAL PHYSICS, ISSN: 0094-2405
Vittorio Mazzia, Simone Angarano, Francesco Salvetti, Federico Angelini, Marcello Chiaberge (2022 ) Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition, In: PATTERN RECOGNITION, pp. 108487, ISSN: 0031-3203
Silvia Anna Chiusano, Tania Cerquitelli, Robert Wrembel (2022 ) Advances in Databases and Information Systems - 26th European Conference, ADBIS 2022, Turin, Italy, September 5-8, 2022, Proceedings
Philippe Bich, Luciano Prono, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti (2022 ) Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing, In: Proceedings of the 2022 IEEE Biomedical Circuits and System Conference (BioCAS2022), pp. 163-167, ISBN: 978-1-6654-6917-3
Rodolfo Vieira Valentim, Idilio Drago, Federico Cerutti, Marco Mellia (2022 ) AI-based Sound-Squatting Attack Made Possible, In: Titolo volume non avvalorato, pp. 448-453, ISBN: 978-1-6654-9560-8
Irene Monforte, Giulia Evangelista, Pierluigi Claps (2022 ) Along-stream assessment of mountain flood dependence on global warming
Stefano Berrone, Davide Oberto (2022 ) An invariances-preserving vector basis neural network for the closure of Reynolds-averaged Navier-Stokes equations by the divergence of the Reynolds stress tensor, In: PHYSICS OF FLUIDS, ISSN: 1070-6631
Matteo Rolle, Stefania Tamea, Pierluigi Claps, Emna Ayari, Nicolas Baghdadi, Mehrez Zribi (2022 ) Analysis of Maize Sowing Periods and Cycle Phases Using Sentinel 1&2 Data Synergy, In: REMOTE SENSING, pp. 3712-3732, ISSN: 2072-4292
P. F. Antonietti, S. Berrone, A. Borio, A. D'auria, M. Verani, S. Weisser (2022 ) Anisotropic a posteriori error estimate for the virtual element method, In: IMA JOURNAL OF NUMERICAL ANALYSIS, pp. 1273-1312, ISSN: 0272-4979
Daniele Bringhenti, Guido Marchetto, Riccardo Sisto, Fulvio Valenza, Jalolliddin Yusupov (2022 ) Automated firewall configuration in virtual networks, In: IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, ISSN: 1545-5971
Giuseppe Attanasio, Debora Nozza, Eliana Pastor, Dirk Hovy (2022 ) Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection, In: Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in NLP, pp. 100-112
Idilio Drago, Marco Mellia, Alessandro D’alconzo (2022 ) Big Data in Computer Network Monitoring, In: Encyclopedia of Big Data Technologies, pp. 1-8, ISBN: 978-3-319-63962-8
Simon F Müller-cleve, Vittorio Fra, Lyes Khacef, Alejandro Pequeño-zurro, Daniel Klepatsch, Evelina Forno, Diego G Ivanovich, Shavika Rastogi, Gianvito Urgese, Friedemann Zenke, Chiara Bartolozzi (2022 ) Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware, In: FRONTIERS IN NEUROSCIENCE, ISSN: 1662-4548
B. Vacchetti, T. Cerquitelli (2022 ) Cinematographic Shot Classification with Deep Ensemble Learning, In: ELECTRONICS, pp. 1570, ISSN: 2079-9292
Indaco Biazzo (2022 ) CityChrone: an Interactive Platform for Transport Network Analysis and Planning in Urban Systems, In: Complex Networks & Their Applications X, pp. 780-791, ISBN: 978-3-030-93412-5...
Matteo Rolle, Stefania Tamea, Pierluigi Claps (2022 ) Climate-driven trends in agricultural water requirement: an ERA5-based assessment at daily scale over 50 years, In: ENVIRONMENTAL RESEARCH LETTERS, pp. 044017, ISSN: 1748-9326
Valentina Gatteschi, Alberto Cannavò, Fabrizio Lamberti, Lia Morra, Paolo Montuschi (2022 ) Comparing algorithms for aggressive driving event detection based on vehicle motion data, In: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, pp. 53-68, ISSN: 0018-9545
S. Berrone, A. Borio, F. Marcon (2022 ) Comparison of standard and stabilization free Virtual Elements on anisotropic elliptic problems, In: APPLIED MATHEMATICS LETTERS, pp. 107971, ISSN: 0893-9659
Elena Daraio, Luca Cagliero, Silvia Chiusano, Paolo Garza (2022 ) Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach, In: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, pp. 21216-21227, ISSN: 1524-9050
J Fior, L Cagliero (2022 ) Correlating Extreme Weather Conditions With Road Traffic Safety: A Unified Latent Space Model, In: IEEE ACCESS, pp. 73005-73018, ISSN: 2169-3536
Matteo Pesce, Hardenberg Jost, Pierluigi Claps, Alberto Viglione (2022 ) Correlation between climate and flood indices in Northwestern Italy at different temporal scales, In: JOURNAL OF HYDROLOGY AND HYDROMECHANICS, pp. 178-194, ISSN: 1338-4333
Fabio Garcea, Alessio Serra, Fabrizio Lamberti, Lia Morra (2022 ) Data Augmentation for medical imaging: a Systematic Literature Review, In: COMPUTERS IN BIOLOGY AND MEDICINE, ISSN: 0010-4825
T. Bradde, S. Grivet-talocia, A. Zanco, G. C. Calafiore (2022 ) Data-driven extraction of uniformly stable and passive parameterized macromodels, In: IEEE ACCESS, pp. 15786-15804, ISSN: 2169-3536
Danilo Giordano, Flavio Giobergia, Eliana Pastor, Antonio La Macchia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Davide Tricarico (2022 ) Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case, In: COMPUTERS IN INDUSTRY, pp. 103554, ISSN: 0166-3615
Moreno La Quatra (2022 ) Deep Learning for Natural Language Understanding and Summarization
Maurizio Pinna, Luca Vassio, Danilo Giordano, Marco Mellia (2022 ) Demand Model Generation from Traces: Adaptive KDE Data-Driven Optimization, In: 6th International Conference on Smart Grid and Smart Cities (ICSGSC), pp. 48-54, ISBN: 978-1-6654-8783-2
Luca Piano, Fabio Garcea, Valentina Gatteschi, Fabrizio Lamberti, Lia Morra (2022 ) Detecting drift in deep learning: A methodology primer, In: IT PROFESSIONAL, pp. 53-60, ISSN: 1520-9202
Paola Caso, Martino Trevisan, Luca Vassio (2022 ) Disentangling the Information Flood on OSNs: Finding Notable Posts and Topics, In: 2022 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 1168-1175, ISBN: 979-8-3503-4609-1
Sihem Amer-yahia, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Philippe Bonnet, Renata Borovica-gajic, Barbara Catania, Tania Cerquitelli, Silvia Anna Chiusano, Panos K. Chrysanthis, Carlo Curino, J('(e))r(^(o))me Darmont, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Georgia Koutrika, Arun Kumar, Sujaya Maiyya, Alexra Meliou, Madhulika Mohanty, Felix Naumann, Nele Sina Noack, Fatma Ozcan, Liat Peterfreund, Wenny Rahayu, Wang-chiew Tan, Yuanyuan Tian, Pinar Tozun, Genoveva Vargas-solar, Neeraja J. Yadwadkar, Meihui Zhang (2022 ) Diversity and Inclusion Activities in Database Conferences: A 2021 Report, In: SIGMOD RECORD, pp. 69-73, ISSN: 1943-5835
Valeria Mariano, Jorge A. Tobon Vasquez, Mario R. Casu, Francesca Vipiana (2022 ) Efficient Data Generation for Stroke Classification via Multilayer Perceptron, In: 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI), pp. 890-891
C. Ramella, A. Zanco, M. De Stefano, T. Bradde, M. Pirola, S. Grivet-talocia (2022 ) Efficient EM-based variability analysis of passive microwave structures through parameterized reduced-order behavioral models, In: Proceedings 2022 17th European Microwave Integrated Circuits Conference (EuMIC), pp. 5-8, ISBN: 978-2-87487-070-5
Mohammad Amir Mansoori, Mario R. Casu (2022 ) Efficient Training and Hardware Co-design of Machine Learning Models, In: International Conference on Applications in Electronics Pervading Industry, Environment and Society (Applepies), 2021, pp. 243-248, ISBN: 978-3-030-95497-0...
Antonio Cipolletta, Valentino Peluso, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia (2022 ) Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs, In: IEEE INTERNET OF THINGS JOURNAL, pp. 25-36, ISSN: 2327-4662
Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis (2022 ) Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists, In: Findings of the Association for Computational Linguistics: ACL 2022, pp. 1105-1119
Matteo Rolle, Mehrez Zribi, Stefania Tamea, Pierluigi Claps (2022 ) Estimation of maize sowing dates from Sentinel 1-2 data, over South Piedmont
Simone Monaco, Daniele Apiletti (2022 ) Experimental Comparison of Theory-Guided Deep Learning Algorithms, In: ADBIS 2022: New Trends in Database and Information Systems, pp. 256-265, ISBN: 978-3-031-15742-4
Simone Monaco, Paolo Bethaz, Daniele Apiletti, Fabrizio Pio Baldini, Carlo Caso, Tania Cerquitelli (2022 ) Exploring waste-collection fleet data: challenges in a real-world use case from multiple data providers, In: Proceedings of the Workshops of the {EDBT/ICDT} 2022 Joint Conference
Tommaso Bradde, Stefano Grivet-talocia (2022 ) Fast LDO Simulations via Parameter-Varying Linearized Macromodels, In: 2022 IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), pp. 1-3, ISBN: 978-1-6654-5075-1
Federico Siviero, Flavio Giobergia, Luca Menzio, F Miserocchi, Marta Tornago, R Arcidiacono, Nicolo' Cartiglia, M Costa, M Ferrero, G Gioachin, M Mandurrino, V Sola (2022 ) First experimental results of the spatial resolution of RSD pad arrays read out with a 16-ch board, In: NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT, ISSN: 0168-9002
Jacopo Fior, Luca Cagliero, Tommaso Calò (2022 ) Generating Comparative Explanations of Financial Time Series, In: Advances in Databases and Information System, pp. 121-132, ISBN: 978-3-031-15739-4
Paola Mazzoglio, Ilaria Butera, Pierluigi Claps (2022 ) Geostatistical analysis of extreme precipitation records over North-West Italy
Stefano Berrone, Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino (2022 ) Graph-Informed Neural Networks for Regressions on Graph-Structured Data, In: MATHEMATICS, ISSN: 2227-7390
Ons Aouedi, Alessio Sacco, Kandaraj Piamrat, Guido Marchetto (2022 ) Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions, In: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, pp. 1-14, ISSN: 2168-2194
Mohammad Amir Mansoori, Mario R. Casu (2022 ) HLS-based dataflow hardware architecture for Support Vector Machine in FPGA, In: 2022 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 41-45, ISBN: 978-1-6654-8485-5
Lorenzo Vaiani, Alkis Koudounas, Moreno La Quatra, Luca Cagliero, Paolo Garza, Elena Maria Baralis (2022 ) How Much Attention Should we Pay to Mosquitoes?, In: MM '22: Proceedings of the 30th ACM International Conference on Multimedia, pp. 7135-7139, ISBN: 978-1-4503-9203-7
Antonino Angi, Alessio Sacco, Flavio Esposito, Guido Marchetto, Alexander Clemm (2022 ) Howdah: Load Profiling via In-Band Flow Classification and P4, In: 18th International Conference on Network and Service Management (CNSM), pp. 46-54, ISBN: 978-3-903176-51-5
Vittorio Fra, Evelina Forno, Riccardo Pignari, Terrence Stewart, Enrico Macii, Gianvito Urgese (2022 ) Human activity recognition: suitability of a neuromorphic approach for on-edge AIoT applications, In: NEUROMORPHIC COMPUTING AND ENGINEERING, pp. 1-14, ISSN: 2634-4386
Paola Mazzoglio, Ilaria Butera, Pierluigi Claps (2022 ) Increasing rainfall data density in Northern Italy through daily extremes and the Hershfield factor
Paola Mazzoglio, Ilaria Butera, Massimiliano Alvioli, Pierluigi Claps (2022 ) Influence of morphology on the spatial variability of rainstorms over Italy
Tianzhu Zhang, Han Qiu, Marco Mellia, Yuanjie Li, Hewu Li, Ke Xu (2022 ) Interpreting AI for Networking: Where We Are and Where We Are Going, In: IEEE COMMUNICATIONS MAGAZINE, pp. 25-31, ISSN: 0163-6804
Nabeel Nisar Bhat, Tiziano Bianchi (2022 ) Investigating Inconsistencies in PRNU-Based Camera Identification, In: 2022 IEEE International Conference on Image Processing (ICIP), pp. 851-855, ISBN: 978-1-6654-9620-9
Jason Ravagli, Lorenzo Vaiani (2022 ) JRLV at SemEval-2022 Task 5: The Importance of Visual Elements for Misogyny Identification in Memes, In: Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pp. 610-617
Andrea Longhi, Arianna Carannante, Silvia Chiusano, Alessandro Fiori (2022 ) La costruzione di un progetto di conoscenza storica in ambiente digitale. L’Atlante dei palazzi comunali e dei luoghi del potere collettivo nel Medioevo, In: ATTI E RASSEGNA TECNICA, pp. 158-165, ISSN: 0004-7287
Jörg. Winkler, Gianvito. Urgese, Elisa. Ficarra, Knut Reinert (2022 ) LaRA 2: parallel and vectorized program for sequence–structure alignment of RNA sequences, In: BMC BIOINFORMATICS, pp. 1-22, ISSN: 1471-2105
Jacopo Fior, Thomas Favale, Luca Cagliero, Danilo Giordano, Marco Mellia, Elena Baralis, Silvia Ronchiadin, Paolo Baracco, Dario Moncalvo (2022 ) Legal Entity Disambiguation for Financial Crime Detection, In: 2022 IEEE International Conference on Big Data (Big Data), pp. 6639-6641, ISBN: 978-1-6654-8045-1
Jacopo Fior, Luca Cagliero, Paolo Garza (2022 ) Leveraging Explainable AI to Support Cryptocurrency Investors, In: FUTURE INTERNET, pp. 251, ISSN: 1999-5903
Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza (2022 ) Leveraging multimodal content for podcast summarization, In: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, pp. 863-870
Irene Benedetto, Lorenzo Canale, Laura Farinetti, Luca Cagliero, Moreno La Quatra (2022 ) Leveraging summarization techniques in educational technology systems, In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 415-416, ISBN: 978-1-6654-8810-5
Gian Pietro Bellocca, Giuseppe Attanasio, Luca Cagliero, Jacopo Fior (2022 ) Leveraging the momentum effect in machine learning-based cryptocurrency trading, In: MACHINE LEARNING WITH APPLICATIONS, pp. 100310, ISSN: 2666-8270
Aleksa Damljanovic, Annachiara Ruospo, Sanchez Ernesto, Giovanni Squillero (2022 ) Machine Learning for Hardware Security: Classifier-based Identification of Trojans in Pipelined Microprocessors, In: APPLIED SOFT COMPUTING, pp. 1-16, ISSN: 1568-4946
L. Vassio, D. Giordano, J. Kim, J. Crowcroft (2022 ) Message from the organizers of WAIN, In: PERFORMANCE EVALUATION REVIEW, pp. 92-92, ISSN: 0163-5999
Nicolo' Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero (2022 ) Microcontroller Performance Screening: Optimizing the Characterization in the Presence of Anomalous and Noisy Data, In: Titolo volume non avvalorato
Luca Vassio, Michele Garetto, Emilio Leonardi, Carla Fabiana Chiasserini (2022 ) Mining and modelling temporal dynamics of followers' engagement on online social networks, In: SOCIAL NETWORK ANALYSIS AND MINING, pp. 96, ISSN: 1869-5450
Luca Colomba, Luca Cagliero, Paolo Garza (2022 ) Mining SpatioTemporally Invariant Patterns, In: Titolo volume non avvalorato, ISBN: 978-1-4503-9529-8
Bastian Fromm, Eirik Høye, Diana Domanska, Xiangfu Zhong, Ernesto Aparicio-puerta, Vladimir Ovchinnikov, Sinan U Umu, Peter J Chabot, Wenjing Kang, Morteza Aslanzadeh, Marcel Tarbier, Emilio Mármol-sánchez, Gianvito Urgese, Morten Johansen, Eivind Hovig, Michael Hackenberg, Marc R Friedländer, Kevin J Peterson (2022 ) MirGeneDB 2.1: toward a complete sampling of all major animal phyla, In: NUCLEIC ACIDS RESEARCH, pp. D204-D210, ISSN: 0305-1048
Riccardo Torchio, Alessandro Zanco, Francesco Lucchini, Piergiorgio Alotto, Stefano Grivet-talocia (2022 ) Mixed Proper Orthogonal Decomposition with Harmonic Approximation for Parameterized Order Reduction of Electromagnetic Models, In: 2022 International Symposium on Electromagnetic Compatibility – EMC Europe, pp. 349-354, ISBN: 978-1-6654-0788-5
Silvia Anna Chiusano, Tania Cerquitelli, Robert Wrembel, Kjetil Norvaag, Barbara Catania, Genoveva Vargas-solar, Ester Zumpano (2022 ) New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022, Proceedings
Carlos Henrique Gomes Ferreira, Fabricio Murai, Ana P. C. Silva, Martino Trevisan, Luca Vassio, Idilio Drago, Marco Mellia, Jussara M. Almeida (2022 ) On network backbone extraction for modeling online collective behavior, In: PLOS ONE, ISSN: 1932-6203
M. Boffa, L. Vassio, M. Mellia, I. Drago, G. Milan, Z. B. Houidi, D. Rossi (2022 ) On using pretext tasks to learn representations from network logs, In: NativeNi '22: Proceedings of the 1st International Workshop on Native Network Intelligence, pp. 21-26, ISBN: 9781450398879
Francesco Vaccarino, Ulderico Fugacci, Sara Scaramuccia (2022 ) Persistent Homology: A Topological Tool for Higher-Interaction Systems, In: Higher-Order Systems, pp. 97-139, ISBN: 978-3-030-91373-1...
Ali Darwish, Marco Ricci, Flora Zidane, Jorge A. Tobon Vasquez, Mario R. Casu, Jerome Lanteri, Claire Migliaccio, Francesca Vipiana (2022 ) Physical Contamination Detection in Food Industry Using Microwave and Machine Learning, In: ELECTRONICS, ISSN: 2079-9292
Mauro Martini, Simone Cerrato, Francesco Salvetti, Simone Angarano, Marcello Chiaberge (2022 ) Position-agnostic autonomous navigation in vineyards with Deep Reinforcement Learning, In: 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), pp. 477-484, ISBN: 978-1-6654-9042-9
Pietro Barbiero, Giovanni Squillero, Alberto Tonda (2022 ) Predictable Features Elimination: An Unsupervised Approach to Feature Selection, In: International Conference on Machine Learning, Optimization, and Data Science, pp. 399-412, ISBN: 978-3-030-95466-6...
Paolo Bethaz, Bartolomeo Vacchetti, Enrica Capitelli, Vladi Nosenzo, Luca Chiosso, Tania Cerquitelli (2022 ) Predicting job execution time on a high-performance computing cluster using a hierarchical data-driven methodology, In: Proceedings of the Workshops of the {EDBT/ICDT} 2022 Joint Conference
Claudio Maino, Antonio Mastropietro, Luca Sorrentino, Enrico Busto, Daniela Anna Misul, Ezio Spessa (2022 ) Project and Development of a Reinforcement Learning Based Control Algorithm for Hybrid Electric Vehicles, In: APPLIED SCIENCES, pp. 812, ISSN: 2076-3417
Simone Martone, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra (2022 ) PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning, In: Proceedings of the 26th International Conference on Pattern Recognition (ICPR 2022), pp. 4427-4433, ISBN: 978-1-6654-9062-7
Pierluigi Claps, Daniele Ganora, Paola Mazzoglio (2022 ) Rainfall regionalization techniques, In: Rainfall, pp. 327-350, ISBN: 9780128225448
Gianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio Munafo, Giovanna Carofiglio (2022 ) Real-Time Classification of Real-Time Communications, In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 1-15, ISSN: 1932-4537
Flavio Giobergia, Elena Baralis (2022 ) RECLAIM: Reverse Engineering Classification Metrics, In: 2022 IEEE Fifth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), pp. 106-113
Alessandro Mantelero, Giuseppe Vaciago (2022 ) Reconciling data protection and cybersecurity: An operational approach for business sector, In: Privacy and Data Protection in Software Services, pp. 97-110, ISBN: 978-981-16-3049-1
Tullio Palmerini, Antonio Giulio Bruno, Mauro Gasparini, Giulia Rizzello, Hyo-soo Kim, Jeehoon Kang, Kyung-woo Park, Joo-yong Hahn, Young Bin Song, Hyeon-cheol Gwon, Eun Ho Choo, Mahn-won Park, Chan Joon Kim, Kiyuk Chang, Thomas Cuisset, Nevio Taglieri, Byeong-keuk Kim, Yangsoo Jang, Elena Nardi, Francesco Saia, Matheusz Orzalkiewicz, Francesco Chietera, Gabriele Ghetti, Nazzareno Galiè, Gregg W Stone (2022 ) Reduced Mortality With Antiplatelet Therapy Deescalation After Percutaneous Coronary Intervention in Acute Coronary Syndromes: A Meta-Analysis, In: CIRCULATION. CARDIOVASCULAR INTERVENTIONS., pp. 906-914, ISSN: 1941-7640
Anna Paola Muntoni, Alfredo Braunstein, Andrea Pagnani, Daniele De Martino, Andrea De Martino (2022 ) Relationship between fitness and heterogeneity in exponentially growing microbial populations, In: BIOPHYSICAL JOURNAL, pp. 1919-1930, ISSN: 0006-3495
Alessio Sacco, Flavio Esposito, Guido Marchetto (2022 ) Restoring Application Traffic of Latency-Sensitive Networked Systems using Adversarial Autoencoders, In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 2521-2535, ISSN: 1932-4537
Gianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio Munafò (2022 ) Retina: An open-source tool for flexible analysis of RTC traffic, In: COMPUTER NETWORKS, pp. 108637, ISSN: 1389-1286
Simone Bussa, Riccardo Sisto, Fulvio Valenza (2022 ) Security Automation using Traffic Flow Modeling, In: Titolo volume non avvalorato, pp. 486-491, ISBN: 978-1-6654-0694-9
Fabio Garcea, Giacomo Blanco, Alberto Croci, Fabrizio Lamberti, Riccardo Mamone, Ruben Ricupero, Lia Morra, Paola Allamano (2022 ) Self-supervised and semi-supervised learning for road condition estimation from distributed road-side cameras, In: SCIENTIFIC REPORTS, ISSN: 2045-2322
Andrea Pasini, Flavio Giobergia, Eliana Pastor, Elena Maria Baralis (2022 ) Semantic Image Collection Summarization with Frequent Subgraph Mining, In: IEEE ACCESS, pp. 131747-131764, ISSN: 2169-3536
Evelina Di Corso, Stefano Proto, Bartolomeo Vacchetti, Paolo Bethaz, Tania Cerquitelli (2022 ) Simplifying Text Mining Activities: Scalable and Self-Tuning Methodology for Topic Detection and Characterization, In: APPLIED SCIENCES, pp. 5125, ISSN: 2076-3417
Evelina Forno, Vittorio Fra, Mert Dogan Arisoy, Chenghan Zhou, Andrea Sergio Ferraris, Enrico Macii, Gianvito Urgese (2022 ) Smart Traffic Light Control on Edge in IOT-Regulated Intersections, In: Titolo volume non avvalorato, pp. 23-28
Stefano Berrone, Claudio Canuto, Moreno Pintore (2022 ) Solving PDEs by variational physics-informed neural networks: an a posteriori error analysis, In: JOURNAL OF SCIENTIFIC COMPUTING
Evelina Forno, Vittorio Fra, Riccardo Pignari, Enrico Macii, Gianvito Urgese (2022 ) Spike encoding techniques for IoT time-varying signals benchmarked on a neuromorphic classification task, In: FRONTIERS IN NEUROSCIENCE, ISSN: 1662-453X
Luca Cagliero (2022 ) Summarising Multilingual Documents: The Unexpressed Potential of Deep Natural Language Processing, In: Contracting and Contract Law in the Age of Artificial Intelligence, pp. 181-200, ISBN: 9781509950683
Nikhil Jha, Martino Trevisan, Luca Vassio, Marco Mellia (2022 ) The Internet with Privacy Policies: Measuring The Web Upon Consent, In: ACM TRANSACTIONS ON THE WEB, ISSN: 1559-1131
Paola Mazzoglio, Ilaria Butera, Massimiliano Alvioli, Pierluigi Claps (2022 ) The role of morphology in the spatial distribution of short-duration rainfall extremes in Italy, In: HYDROLOGY AND EARTH SYSTEM SCIENCES, pp. 1659-1672, ISSN: 1607-7938
Simone Monaco, Daniele Apiletti, Giovanni Malnati (2022 ) Theory-Guided Deep Learning Algorithms: An Experimental Evaluation, In: ELECTRONICS, pp. 2850, ISSN: 2079-9292
Alkis Koudounas, Flavio Giobergia, Elena Baralis (2022 ) Time-of-Flight Cameras in Space: Pose Estimation with Deep Learning Methodologies, In: IEEE International Conference Application of Information and Communication Technologies
Matteo Boffa, Giulia Milan, Luca Vassio, Idilio Drago, Marco Mellia, Zied Ben Houidi (2022 ) Towards NLP-based Processing of Honeypot Logs, In: 2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), pp. 314-321, ISBN: 978-1-6654-9560-8
Giulia Evangelista, Paola Mazzoglio, Francesca Pianigiani, Pierluigi Claps (2022 ) Towards the assessment of the flood attenuation potential of italian dams: first steps and sensitivity to basic model features, In: Proceedings of the 39th IAHR World Congress (Granada, 2022), pp. 6728-6736
Moreno La Quatra, Luca Cagliero (2022 ) Transformer-based highlights extraction from scientific papers, In: KNOWLEDGE-BASED SYSTEMS, ISSN: 1872-7409
Lorenzo Vaiani, Alkis Koudounas, Moreno La Quatra, Luca Cagliero, Paolo Garza, Elena Maria Baralis (2022 ) Transformer-based Non-Verbal Emotion Recognition: Exploring Model Portability across Speakers’ Genders, In: MuSe' 22: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, pp. 89-94
Stefania Tamea, Matteo Rolle, Pierluigi Claps (2022 ) Trends of crop daily water requirements driven by 50-years global hydro-climatic data
Flavio Giobergia (2022 ) Triplet Losses-based Matrix Factorization for Robust Recommendations, In: Proceedings of the CIKM 2022 Workshops
Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli (2022 ) Trusting deep learning natural-language models via local and global explanations, In: KNOWLEDGE AND INFORMATION SYSTEMS, pp. 1863-1907, ISSN: 0219-1377
Simone Angarano, Francesco Salvetti, Vittorio Mazzia, Giovanni Fantin, Dario Gandini, Marcello Chiaberge (2022 ) Ultra-Low-Power Range Error Mitigation for Ultra-Wideband Precise Localization, In: Intelligent Computing - Proceedings of the 2022 Computing Conference, pp. 814-824, ISBN: 978-3-031-10463-3
Matheus F. C. Barros, Carlos H. G. Ferreira, Lourenco A. P. Junior, Marco Mellia, Jussara M. Almeida, Bruno Pereira Dos Santos (2022 ) Understanding mobility in networks, In: PERFORMANCE EVALUATION REVIEW, pp. 124-130, ISSN: 0163-5999
Rodolfo Valentim, Idilio Drago, Martino Trevisan, Marco Mellia (2022 ) URLGEN – Towards Automatic URL Generation Using GANs, In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 1-1, ISSN: 1932-4537
Laura Arditti, Martino Trevisan, Luca Vassio, Alberto De Lazzari, Alberto Danese (2022 ) User Value in Modern Payment Platforms: A Graph Approach, In: 2022 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 71-78, ISBN: 979-8-3503-4609-1
Pinky Kumawat (2022 ) Using attitudes and green consciousness as a determinant of travel behaviour and market segmentation
Pinky Kumawat, Cristina Pronello (2022 ) Validating Italian General Ecological Behaviour Questionnaire of Travellers using Dichotomous Rasch Model, In: Title of the volume not validated
Stefano Berrone, Claudio Canuto, Moreno Pintore (2022 ) Variational Physics Informed Neural Networks: the role of quadratures and test functions, In: ANNALI DELL'UNIVERSITÀ DI FERRARA. SEZIONE 7: SCIENZE MATEMATICHE
A. Carlucci, A. Zanco, R. Trinchero, S. Grivet-talocia (2022 ) Vector Fitting of Noisy Frequency Responses via Smoothing Regularization, In: 2022 IEEE 26th Workshop on Signal and Power Integrity (SPI), pp. 1-3, ISBN: 978-1-6654-8625-5
Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza (2022 ) ViPER: Video-based Perceiver for Emotion Recognition, In: Proceedings of the 3rd on Multimodal Sentiment Analysis Challenge (MuSe 2022), pp. 67-73
Chiara Boretti, Philippe Bich, Yanyu Zhang, John Baillieul (2022 ) Visual Navigation Using Sparse Optical Flow and Time-to-Transit, In: 2022 International Conference on Robotics and Automation (ICRA), pp. 9397-9403, ISBN: 978-1-7281-9681-7
Thomas Favale, Danilo Giordano, Idilio Drago, Marco Mellia (2022 ) What Scanners do at L7? Exploring Horizontal Honeypots for Security Monitoring, In: 2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), pp. 307-313, ISBN: 978-1-6654-9560-8
Daniel Perdices, Gianluca Perna, Martino Trevisan, Danilo Giordano, Marco Mellia (2022 ) When satellite is all you have: watching the internet from 550 ms, In: IMC '22: Proceedings of the 22nd ACM Internet Measurement Conference, pp. 137-150, ISBN: 9781450392594

2021 publications

Luca Sesta, Guido Uguzzoni, Jorge Fernandez-de-cossio-diaz, Andrea Pagnani (2021 ) {AMaLa}: Analysis of Directed Evolution Experiments via Annealed Mutational Approximated Landscape, In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, pp. 10908, ISSN: 1422-0067
Peter Benner, Stefano Grivet-talocia, Alfio Quarteroni, Gianluigi Rozza, Wil Schilders, Luís Miguel Silveira (2021 ) 1 Model order reduction: basic concepts and notation, In: Model Order Reduction. Volume 1: System- and Data-Driven Methods and Algorithms, pp. 1-14, ISBN: 9783110498967
Stefano Grivet-talocia, Luis Miguel Silveira (2021 ) 5 Post-processing methods for passivity enforcement, In: Model Order Reduction. Volume 1: System- and Data-Driven Methods and Algorithms, pp. 139-180, ISBN: 9783110498967
Antonio Nistico, Dena Markudova, Martino Trevisan, Michela Meo, Giovanna Carofiglio (2021 ) A comparative study of RTC applications, In: Proceedings of the 2020 IEEE International Symposium on Multimedia (ISM), pp. 1-8, ISBN: 978-1-7281-8697-9...
Marco Cipriano, Luca Colomba, Paolo Garza (2021 ) A Data-Driven Based Dynamic Rebalancing Methodology for Bike Sharing Systems, In: APPLIED SCIENCES, ISSN: 2076-3417
Melissa Latella, Fabio Sola, Carlo Vincenzo Camporeale (2021 ) A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data, In: REMOTE SENSING, pp. 322, ISSN: 2072-4292
Angelo Marguglio, Giuseppe Veneziano, Pietro Greco, Sven Jung, Robert Siegburg, Robert H. Schmitt, Simone Monaco, Daniele Apiletti, Nikolaos Nikolakis, Tania Cerquitelli, Enrico Macii (2021 ) A hybrid cloud-to-edge predictive maintenance platform, In: Predictive Maintenance in Smart Factories, pp. 19-37, ISBN: 978-981-16-2940-2
Danilo Giordano, Luca Vassio, Luca Cagliero (2021 ) A multi-faceted characterization of free-floating car sharing service usage, In: TRANSPORTATION RESEARCH. PART C, EMERGING TECHNOLOGIES, pp. 102966, ISSN: 0968-090X
Marco De Stefano, Stefano Grivet-talocia, Torben Wendt, Cheng Yang, Christian Schuster (2021 ) A Multi-Stage Adaptive Sampling Scheme for Passivity Characterization of Large-Scale Macromodels, In: IEEE TRANSACTIONS ON COMPONENTS, PACKAGING, AND MANUFACTURING TECHNOLOGY, pp. 471-484, ISSN: 2156-3950
Marco De Stefano, Stefano Grivet-talocia (2021 ) A Multivariate Adaptive Sampling Scheme for Passivity Characterization of Parameterized Macromodels, In: 2021 IEEE 25th Workshop on Signal and Power Integrity (SPI), pp. 1-3, ISBN: 978-1-6654-2388-5
Andrea Di Domenico, Gianluca Perna, Martino Trevisan, Luca Vassio, Danilo Giordano (2021 ) A Network Analysis on Cloud Gaming: Stadia, GeForce Now and PSNow, In: NETWORK, pp. 247-260, ISSN: 2673-8732
S. Berrone, F. Vicini (2021 ) A Reduced Basis Method for a PDE-constrained optimization formulation in Discrete Fracture Network flow simulations, In: COMPUTERS & MATHEMATICS WITH APPLICATIONS, pp. 182-194, ISSN: 0898-1221
Susanna Grasso, Pierluigi Claps, Daniele Ganora, Andrea Libertino (2021 ) A Web‐based Open‐source Geoinformation Tool for Regional Water Resources Assessment, In: WATER RESOURCES MANAGEMENT, ISSN: 0920-4741
Luca Mocerino, Roberto G. Rizzo, Valentino Peluso, Andrea Calimera, Enrico Macii (2021 ) AdapTTA: Adaptive Test-Time Augmentation for Reliable Embedded ConvNets, In: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), pp. 1-6, ISBN: 978-1-6654-2614-5
M. Meo, D. Renga, Z. Umar (2021 ) Advanced Sleep Modes to comply with delay constraints in energy efficient 5G networks, In: 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), pp. 1-7, ISBN: 978-1-7281-8964-2
Simone Cerrato, Diego Aghi, Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge (2021 ) An Adaptive Row Crops Path Generator with Deep Learning Synergy, In: 2021 6th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), pp. 6-12, ISBN: 978-1-6654-4069-1
C. Paolino, F. Pareschi, M. Mangia, R. Rovatti, G. Setti (2021 ) An architecture for ultra-low-voltage ultra-low-power compressed sensing-based acquisition systems, In: 2021 IEEE Nordic Circuits and Systems Conference, NORCAS 2021 - Proceedings, pp. 1-7, ISBN: 978-1-6654-0712-0
L. Prono, A. Marchioni, M. Mangia, F. Pareschi, R. Rovatti, G. Setti (2021 ) An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction, In: BioCAS 2021 - IEEE Biomedical Circuits and Systems Conference, Proceedings, pp. 01-05, ISBN: 978-1-7281-7204-0
E. Fevola, F. Ballarin, L. Jimenez-juan, S. Fremes, S. Grivet-talocia, G. Rozza, P. Triverio (2021 ) An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations, In: INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, pp. e3516, ISSN: 2040-7939
C. Yang, T. Wendt, M. De Stefano, M. Kopf, C. Becker, S. Grivet-talocia, C. Schuster (2021 ) Analysis and Optimization of Nonlinear Diode Grids for Shielding of Enclosures With Apertures, In: IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, pp. 1884-1895, ISSN: 0018-9375
Raffaele Filieri, Elettra D'amico, Alessandro Destefanis, Emilio Paolucci, Elisabetta Raguseo (2021 ) Artificial intelligence (AI) for tourism: an European-based study on successful AI tourism start-ups, In: INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, pp. 4099-4125, ISSN: 0959-6119
Alberto Ciampaglia, Giovanni Belingardi, Antonio Mastropietro, Alessandro De Gregorio, Francesco Vaccarino (2021 ) Artificial Intelligence for Damage Detection in Automotive Composite Parts: A Use Case, In: SAE TECHNICAL PAPER, ISSN: 0148-7191
Simone Monaco, Salvatore Greco, Alessandro Farasin, Luca Colomba, Daniele Apiletti, Paolo Garza, Tania Cerquitelli, Elena Baralis (2021 ) Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction, In: APPLIED SCIENCES, ISSN: 2076-3417
Rodolfo Valentim, Idilio Drago, Martino Trevisan, Federico Cerutti, Marco Mellia (2021 ) Augmenting phishing squatting detection with GANs, In: CoNEXT-SW'21: Proceedings of the CoNEXT Student Workshop, pp. 3-4, ISBN: 9781450391337
Elisa Fevola, Francesco Ballarin, Laura Jimenez-jua, Piero Triverio, Stefano Grivet Talocia, Gianlugi Rozza (2021 ) Automated Estimation of Patient-Specific Boundary Conditions for Cardiovascular Simulations: an Optimal Control Approach
Luca Cagliero, Moreno La Quatra (2021 ) Automatic slides generation in the absence of training data, In: 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 103-108
Leonardo Tolomei, Stefano Fiorini, Alessandro Ciociola, Luca Vassio, Danilo Giordano, Marco Mellia (2021 ) Benefits of Relocation on E-scooter Sharing - a Data-Informed Approach, In: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), pp. 3170-3175, ISBN: 978-1-7281-9142-3
Arslan Ali, Andrea Migliorati, Tiziano Bianchi, Enrico Magli (2021 ) Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification, In: 25th International Conference on Pattern Recognition, ISBN: 978-1-7281-8808-9
T. Cerquitelli, S. Migliorini, S. Chiusano (2021 ) Big data analytics for smart cities, In: ELECTRONICS, pp. 1439, ISSN: 2079-9292
Tommaso Bradde, Alessandro Zanco, Stefano Grivet-talocia (2021 ) Bivariate Macromodeling with Passivity Constraints, In: 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), pp. 1-3, ISBN: 978-1-6654-4269-5
S. Chiusano, T. Cerquitelli, R. Wrembel, D. Quercia (2021 ) Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science, In: INFORMATION SYSTEMS FRONTIERS, pp. 1-7, ISSN: 1387-3326
Sina Famouri, Lia Morra, Leonardo Mangia, Fabrizio Lamberti (2021 ) Breast mass detection with faster R-CNN: On the feasibility of learning from noisy annotations, In: IEEE ACCESS, pp. 66163-66175, ISSN: 2169-3536
Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi (2021 ) Bridging the gap between Natural and Medical Images through Deep Colorization, In: Proceedings of the 25th International Conference on Pattern Recognition, ICPR 2020, pp. 835-842
Victor A. Alencar, Felipe Rooke, Michele Cocca, Luca Vassio, Jussara Almeida, Alex Borges Vieira (2021 ) Characterizing client usage patterns and service demand for car-sharing systems, In: INFORMATION SYSTEMS, pp. 101448, ISSN: 0306-4379
Junnan Shan, Mihai T. Lazarescu, Jordi Cortadella, Luciano Lavagno, Mario R. Casu (2021 ) CNN-on-AWS: Efficient Allocation of Multi-Kernel Applications on Multi-FPGA Platforms, In: IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, pp. 301-314, ISSN: 0278-0070
N. Zincir-heywood, M. Mellia, Y. Diao (2021 ) Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning
C. Paolino, A. Antolini, F. Pareschi, M. Mangia, R. Rovatti, E. F. Scarselli, A. Gnudi, G. Setti, R. Canegallo, M. Carissimi, M. Pasotti (2021 ) Compressed sensing by phase change memories: Coping with encoder non-linearities, In: Proceedings - IEEE International Symposium on Circuits and Systems, ISBN: 978-1-7281-9201-7
F. Martinini, M. Mangia, F. Pareschi, R. Rovatti, G. Setti (2021 ) Compressed Sensing Inspired Neural Decoder for Undersampled MRI with Self-Assessment, In: BioCAS 2021 - IEEE Biomedical Circuits and Systems Conference, Proceedings, pp. 01-06, ISBN: 978-1-7281-7204-0
Paolo Manfredi, Stefano Grivet-talocia (2021 ) Compressed stochastic macromodeling of electrical systems via rational polynomial chaos and principal component analysis, In: Proceedings of the 2021 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC 2021), pp. 1-3, ISBN: 978-1-7281-7621-5
M. Gasparini, L. Sacchetto (2021 ) Concentration and ROC Curves, Revisited, In: SANKHYA. SERIES A, pp. 292-305, ISSN: 0976-836X
Evelina Forno, Andrea Spitale, Enrico Macii, Gianvito Urgese (2021 ) Configuring an Embedded Neuromorphic coprocessor using a RISC-V chip for enabling edge computing applications, In: 2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), pp. 328-332
Luca Cagliero, Moreno La Quatra, Paolo Garza, Elena Maria Baralis (2021 ) Cross-lingual timeline summarization, In: 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), pp. 45-53, ISBN: 978-1-6654-3736-3
Simone Monaco, Nicole Bussola, Sara Butto, Diego Sona, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola (2021 ) Cyst segmentation on kidney tubules by means of U-Net deep-learning models, In: 2021 IEEE International Conference on Big Data (Big Data), pp. 3923-3926, ISBN: 978-1-6654-3902-2
Luca Gioacchini, Luca Vassio, Marco Mellia, Idilio Drago, Zied Ben Houidi, Dario Rossi (2021 ) DarkVec: automatic analysis of darknet traffic with word embeddings, In: CoNEXT '21: Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies, pp. 76-89, ISBN: 9781450390989
Francesco Della Santa (2021 ) Data-Driven Deep Learning Methods for Physically-Based Simulations
Tania Cerquitelli, Nikolaos Nikolakis, Lia Morra, Andrea Bellagarda, Matteo Orlando, Riku Salokangas, Olli Saarela, Jani Hietala, Petri Kaarmila, Enrico Macii (2021 ) Data-Driven Predictive Maintenance: A Methodology Primer, In: Predictive Maintenance in Smart Factories, pp. 39-73, ISBN: 978-981-16-2939-6
A. Cipolletta, A. Calimera (2021 ) Dataflow Restructuring for Active Memory Reduction in Deep Neural Networks, In: Proceedings -Design, Automation and Test in Europe, DATE, pp. 114-119, ISBN: 978-3-9819263-5-4
Matteo Corain, Paolo Garza, Abolfazl Asudeh (2021 ) DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets, In: Titolo volume non avvalorato, pp. 37-48, ISBN: 978-1-7281-9184-3
Martino Trevisan, Luca Vassio, Danilo Giordano (2021 ) Debate on online social networks at the time of COVID-19: An Italian case study, In: ONLINE SOCIAL NETWORKS AND MEDIA, pp. 100136, ISSN: 2468-6964
Diego Aghi, Simone Cerrato, Vittorio Mazzia, Marcello Chiaberge (2021 ) Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows, In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3421-3428, ISBN: 978-1-6654-1714-3
Vittorio Mazzia, Francesco Salvetti, Diego Aghi, Marcello Chiaberge (2021 ) DeepWay: A Deep Learning waypoint estimator for global path generation, In: COMPUTERS AND ELECTRONICS IN AGRICULTURE, pp. 106091, ISSN: 0168-1699
Maria Ferrara, Francesco Della Santa, Matteo Bilardo, Alessandro De Gregorio, Antonio Mastropietro, Ulderico Fugacci, Francesco Vaccarino, Enrico Fabrizio (2021 ) Design optimization of renewable energy systems for NZEBs based on deep residual learning, In: RENEWABLE ENERGY, pp. 590-605, ISSN: 0960-1481
Danilo Giordano, Eliana Pastor, Flavio Giobergia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Alessandra Neri, Davide Tricarico (2021 ) Dissecting a Data-driven Prognostic Pipeline: A Powertrain use case, In: EXPERT SYSTEMS WITH APPLICATIONS, pp. 115109, ISSN: 0957-4174
Torben Wendt, Cheng Yang, Christian Schuster, Marco De Stefano, Stefano Grivet-talocia (2021 ) Distributed Nonlinear Shielding in Power Delivery Networks on Printed Circuit Boards, In: 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), pp. 1-3, ISBN: 978-1-6654-4269-5
Mauro Martini, Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge (2021 ) Domain-Adversarial Training of Self-Attention-Based Networks for Land Cover Classification Using Multi-Temporal Sentinel-2 Satellite Imagery, In: REMOTE SENSING, pp. 2564, ISSN: 2072-4292
Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis (2021 ) Double-Step deep learning framework to improve wildfire severity classification, In: Workshops of the 24th International Conference on Extending Database Technology/24th International Conference on Database Theory, EDBT-ICDT 2021, ISBN: 978-3-89318-084-4
Tommaso Rescio, Thomas Favale, Francesca Soro, Marco Mellia, Idilio Drago (2021 ) DPI Solutions in Practice: Benchmark and Comparison, In: 2021 IEEE Security and Privacy Workshops (SPW), pp. 37-42
Salvatore Greco, Tania Cerquitelli (2021 ) DRIFT LENS: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributions, In: 2021 International Conference on Data Mining Workshops (ICDMW), pp. 1-9, ISBN: 978-1-6654-2427-1
M. Pintore, F. Pichi, M. Hess, G. Rozza, C. Canuto (2021 ) Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method, In: ADVANCES IN COMPUTATIONAL MATHEMATICS, pp. 1-39, ISSN: 1019-7168
Jeanne Trinquier, Guido Uguzzoni, Andrea Pagnani, Francesco Zamponi, Martin Weigt (2021 ) Efficient generative modeling of protein sequences using simple autoregressive models, In: NATURE COMMUNICATIONS, ISSN: 2041-1723
Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge (2021 ) Efficient-CapsNet: capsule network with self-attention routing, In: SCIENTIFIC REPORTS, ISSN: 2045-2322
Paolo Bethaz, Sara Cavaglion, Sofia Cricelli, Elena Liore, Emanuele Manfredi, Stefano Salio, Andrea Regalia, Fabrizio Conicella, Salvatore Greco, Tania Cerquitelli (2021 ) Empowering Commercial Vehicles through Data-Driven Methodologies, In: ELECTRONICS, pp. 2381, ISSN: 2079-9292
Tania Cerquitelli, Francesco Ventura, Daniele Apiletti, Elena Baralis, Enrico Macii, Massimo Poncino (2021 ) Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes, In: EXPERT SYSTEMS WITH APPLICATIONS, pp. 115269, ISSN: 0957-4174
I. Biazzo, M. G. Nezhadhaghighi, A. Ramezanpour (2021 ) Entropy production of selfish drivers: Implications for efficiency and predictability of movements in a city, In: JOURNAL OF PHYSICS. COMPLEXITY, pp. 035026, ISSN: 2632-072X
Edoardo Fassio, Alessandro Ciociola, Danilo Giordano, Michel Noussan, Luca Vassio, Marco Mellia (2021 ) Environmental and Economic Comparison of ICEV and EV in Car Sharing, In: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) , pp. 1621-1626, ISBN: 978-1-7281-9142-3
A. Baker, I. Biazzo, A. Braunstein, G. Catania, L. Dall'asta, A. Ingrosso, F. Krzakala, F. Mazza, M. Mezard, A. P. Muntoni, M. Refinetti, S. S. Mannelli, L. Zdeborova (2021 ) Epidemic mitigation by statistical inference from contact tracing data, In: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, pp. e2106548118, ISSN: 0027-8424
Matteo Rolle, Stefania Tamea, Pierluigi Claps (2021 ) ERA5-based global assessment of irrigation requirement and validation, In: PLOS ONE, pp. e0250979, ISSN: 1932-6203
Pierluigi Petrali, Tania Cerquitelli, Paolo Bethaz, Lia Morra, Nikolaos Nikolakis, Claudia De Vizia, Enrico Macii (2021 ) Estimating Remaining Useful Life: A Data-Driven Methodology for the White Goods Industry, In: Predictive Maintenance in Smart Factories, pp. 149-164, ISBN: 978-981-16-2939-6
Alessandro Destefanis, Paolo Neirotti, Emilio Paolucci, Elisabetta Raguseo (2021 ) Estimating the impact of sharing economy accommodation platforms on rural tourism ecosystems: an empirical investigation in Italian “Borghi”
Jacopo Fior, Luca Cagliero (2021 ) Estimating the incidence of adverse weather effects on road traffic safety using time series embeddings, In: 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 402-407
Alfredo Braunstein, Thomas Gueudre, Andrea Pagnani, Mirko Pieropan (2021 ) Expectation propagation on the diluted Bayesian classifier, In: PHYSICAL REVIEW. E, ISSN: 2470-0045
Nicolo Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Raffaele Martone, Ulf Schlichtmann, Giovanni Squillero (2021 ) Exploiting Active Learning for Microcontroller Performance Prediction, In: 2021 IEEE European Test Symposium, pp. 1-4, ISBN: 978-1-6654-1849-2
Giovanni Squillero, Eliana Giovannitti, Alberto Tonda, Sayyidshahab Nabavi (2021 ) Exploiting Artificial Swarms for the Virtual Measurement of Backlash in Industrial Robots, In: 2021 IEEE Congress on Evolutionary Computation (CEC), pp. 1743-1750
F. Barchi, E. Parisi, G. Urgese, E. Ficarra, A. Acquaviva (2021 ) Exploration of Convolutional Neural Network models for source code classification, In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, pp. 104075, ISSN: 0952-1976
L. Mocerino, A. Calimera (2021 ) Fast and Accurate Inference on Microcontrollers with Boosted Cooperative Convolutional Neural Networks (BC-Net), In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS, pp. 77-88, ISSN: 1549-8328
Junnan Shan, Mihai Teodor Lazarescu, Jordi Cortadella, Luciano Lavagno, Mario Roberto Casu (2021 ) Fast Energy-Optimal Multi-Kernel DNN-like Application Allocation on Multi-FPGA Platforms, In: IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, ISSN: 0278-0070
S. Khan, T. Bianchi (2021 ) Fast image clustering based on compressed camera fingerprints, In: SIGNAL PROCESSING-IMAGE COMMUNICATION, pp. 116070, ISSN: 0923-5965
T. Bradde, S. Grivet-talocia, P. Leite Correia De Toledo, A. V. Proskurnikov, A. Zanco, G. C. Calafiore, P. Crovetti (2021 ) Fast Simulation of Analog Circuit Blocks under Nonstationary Operating Conditions, In: IEEE TRANSACTIONS ON COMPONENTS, PACKAGING, AND MANUFACTURING TECHNOLOGY, pp. 1355-1368, ISSN: 2156-3950
P. Manfredi, S. Grivet-talocia (2021 ) Fast Stochastic Surrogate Modeling via Rational Polynomial Chaos Expansions and Principal Component Analysis, In: IEEE ACCESS, pp. 102732-102745, ISSN: 2169-3536
Francesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti (2021 ) Faster-LTN: a neuro-symbolic, end-to-end object detection architecture, In: Proceedings of the 30th International Conference on Artificial Neural Networks (ICANN 2021), pp. 40-52, ISBN: 978-3-030-86339-5
Luca Ardito, Andrea Bottino, Riccardo Coppola, Fabrizio Lamberti, Francesco Manigrasso, Lia Morra, Marco Torchiano (2021 ) Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing, In: ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, pp. 1-32, ISSN: 1049-331X
Tommaso Bradde, Samuel Chevalier, Marco De Stefano, Stefano Grivet Talocia, Luca Daniel (2021 ) Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics, In: ENERGIES, pp. 2471, ISSN: 1996-1073
Marco Guerra, Alessandro De Gregorio, Ulderico Fugacci, Giovanni Petri, Francesco Vaccarino (2021 ) Homological scaffold via minimal homology bases, In: SCIENTIFIC REPORTS, pp. 5355, ISSN: 2045-2322
Eliana Pastor, Andrew Gavgavian, Elena Baralis, Luca De Alfaro (2021 ) How Divergent Is Your Data?, In: Proceedings of the VLDB Endowment, pp. 2835-2838
Paola Mazzoglio, Ilaria Butera, Pierluigi Claps (2021 ) How landscape and climate affect the spatial variability of the Italian rainfall extremes? Some initial clues based on I2-RED
A. Khorrami Chokami, M. Gasparini, R. Merletti (2021 ) Identification of periodic bursts in surface EMG: Applications to the erector spinae muscles of sitting violin players, In: BIOMEDICAL SIGNAL PROCESSING AND CONTROL, pp. 102369, ISSN: 1746-8094
Eliana Pastor, Luca De Alfaro, Elena Maria Baralis (2021 ) Identifying Biased Subgroups in Ranking and Classification
Marcello Chiaberge, Giovanni Fantin, Francesco Salvetti, Vittorio Mazzia, Enrico Sutera (2021 ) Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-Wideband, In: Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, pp. 38-47, ISBN: 978-989-758-484-8
Luca Cagliero, Moreno La Quatra (2021 ) Inferring multilingual domain-specific word embeddings from large document corpora, In: IEEE ACCESS, pp. 137309-137321, ISSN: 2169-3536
Danilo Giordano, Marco Mellia, Tania Cerquitelli (2021 ) K-MDTSC: K-Multi-Dimensional Time-Series Clustering Algorithm, In: ELECTRONICS, pp. 1166, ISSN: 2079-9292
Stefano Berrone, Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino (2021 ) Layer-wise relevance propagation for backbone identification in discrete fracture networks, In: JOURNAL OF COMPUTATIONAL SCIENCE, pp. 101458, ISSN: 1877-7503
D. Valsesia, G. Fracastoro, E. Magli (2021 ) Learning Localized Representations of Point Clouds with Graph-Convolutional Generative Adversarial Networks, In: IEEE TRANSACTIONS ON MULTIMEDIA, pp. 402-414, ISSN: 1520-9210
F. Pistilli, G. Fracastoro, D. Valsesia, E. Magli (2021 ) Learning Robust Graph-Convolutional Representations for Point Cloud Denoising, In: IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, pp. 402-414, ISSN: 1932-4553
M. La Quatra, L. Cagliero, E. Baralis (2021 ) Leveraging full-text article exploration for citation analysis, In: SCIENTOMETRICS, ISSN: 0138-9130
Eliana Pastor, Luca De Alfaro, Elena Baralis (2021 ) Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence, In: SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data, pp. 1400-1412, ISBN: 978-1-4503-8343-1
S. Berrone, Francesco Della Santa, S. Pieraccini, F. Vaccarino (2021 ) Machine learning for flux regression in discrete fracture networks, In: GEM, ISSN: 1869-2672
M. Ricci, B. Stitic, L. Urbinati, G. Di Guglielmo, J. A. Tobon Vasquez, L. P. Carloni, F. Vipiana, M. R. Casu (2021 ) Machine-Learning Based Microwave Sensing: A Case Study for the Food Industry, In: IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, pp. 503-514, ISSN: 2156-3357
Martino Trevisan, Danilo Giordano, Idilio Drago, Ali Safari Khatouni (2021 ) Measuring HTTP/3: Adoption and Performance, In: Proceedings of the 2021 19th Mediterranean Communication and Computer Networking Conference (MedComNet), pp. 1-8, ISBN: 978-1-6654-3590-1
Andra Lutu, Martino Trevisan, Ali Safari Khatouni, Anna Maria Mandalari, Ana Custura, Marco Mellia, Ozgu Alay, Marcelo Bagnulo, Vaibhav Bajpai, Anna Brunstrom, Jorg Ott, Godred Fairhurst (2021 ) Measuring Roaming in Europe: Infrastructure and Implications on Users QoE, In: IEEE TRANSACTIONS ON MOBILE COMPUTING, pp. 1-15, ISSN: 1536-1233
L. Vassio, Z. -l. Zhang, D. Giordano, A. Chandra (2021 ) Message from the organizers of WAIN, In: PERFORMANCE EVALUATION REVIEW, pp. 28-28, ISSN: 0163-5999
Benner Peter, Stefano Grivet Talocia, Quarteroni Alfio, Rozza Gianluigi, Schilders Wil, Luis Miguel Silveira (2021 ) Model Order Reduction. Volume 1: System- and Data-Driven Methods and Algorithms
Benner Peter, Stefano Grivet Talocia, Quarteroni Alfio, Rozza Gianluigi, Schilders Wil, Luís Miguel Silveira (2021 ) Model Order Reduction. Volume 2: Snapshot-Based Methods and Algorithms
Benner Peter, Stefano Grivet Talocia, Quarteroni Alfio, Rozza Gianluigi, Schilders Wil, Luís Miguel Silveira (2021 ) Model Order Reduction. Volume 3: Applications
Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia (2021 ) Monocular Depth Perception on Microcontrollers for Edge Applications, In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, ISSN: 1051-8215
Alessio Sacco, Flavio Esposito, Guido Marchetto (2021 ) On Control and Data Plane Programmability for Data-Driven Networking, In: 2021 IEEE 22nd International Conference on High-Performance Switching and Routing (HPSR 2021), pp. 1-6, ISBN: 978-1-6654-4006-6
Carlos Henrique Gomes Ferreira, Fabricio Murai, Ana Paula Couto. Silva, Jussara M. Almeida, Martino Trevisan, Luca Vassio, Marco Mellia, Idilio Drago (2021 ) On the dynamics of political discussions on Instagram: A network perspective, In: ONLINE SOCIAL NETWORKS AND MEDIA, pp. 100155, ISSN: 2468-6964
Paolo Manfredi, Stefano Grivet-talocia (2021 ) On the Exactness of Rational Polynomial Chaos Formulation for the Uncertainty Quantification of Linear Circuits in the Frequency Domain, In: Scientific Computing in Electrical Engineering, pp. 23-31, ISBN: 978-3-030-84237-6...
Fabio Garcea, Lia Morra, Fabrizio Lamberti (2021 ) On the Use of Causal Models to Build Better Datasets, In: 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 1514-1519, ISBN: 978-1-6654-2463-9
Gianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio Munafò, Giovanna Carofiglio (2021 ) Online Classification of RTC Traffic, In: Proceedings of the 2021 IEEE 18th Annual Consumer Communications & Networking Conference, pp. 1-6, ISBN: 978-1-7281-9794-4
Santa Di Cataldo, Sara Vinco, Gianvito Urgese, Flaviana Calignano, Elisa Ficarra, Alberto Macii, Enrico Macii (2021 ) Optimizing Quality Inspection and Control in Powder Bed Metal Additive Manufacturing: Challenges and Research Directions, In: PROCEEDINGS OF THE IEEE, pp. 326-346, ISSN: 0018-9219
Paola Mazzoglio, Ilaria Butera, Pierluigi Claps (2021 ) Orographic influence on the spatial variability of rainfall extremes in Italy
Nur Zincir‐heywood, Marco Mellia, Yixin Diao (2021 ) Overview of Artificial Intelligence and Machine Learning, In: Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning, pp. 29-51, ISBN: 9781119675501, 97...
Marco Mellia, Nur Zincir‐heywood, Yixin Diao (2021 ) Overview of Network and Service Management, In: Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning, pp. 3-27, ISBN: 9781119675501, 97...
Alessio Sacco, Matteo Flocco, Flavio Esposito, Guido Marchetto (2021 ) Owl: Congestion Control with Partially Invisible Networks via Reinforcement Learning, In: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, ISBN: 978-1-6654-3131-6
Evelina Forno, Alessandro Salvato, Enrico Macii, Gianvito Urgese (2021 ) PageRank Implemented with the MPI Paradigm Running on a Many-Core Neuromorphic Platform, In: JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS, ISSN: 2079-9268
Alessandro De Gregorio, Marco Guerra, Sara Scaramuccia, Francesco Vaccarino (2021 ) Parallel decomposition of persistence modules through interval bases
Eliana Pastor (2021 ) Pattern-based algorithms for Explainable AI
Stefano Berrone, Francesco Della Santa (2021 ) Performance Analysis of Multi-Task Deep Learning Models for Flux Regression in Discrete Fracture Networks, In: GEOSCIENCES, pp. 1-24, ISSN: 2076-3263
Marilisa Montemurro, Elena Grassi, Carmelo Gabriele Pizzino, Andrea Bertotti, Elisa Ficarra, Gianvito Urgese (2021 ) PhyliCS: a Python library to explore scCNA data and quantify spatial tumor heterogeneity, In: BMC BIOINFORMATICS, pp. 1-21, ISSN: 1471-2105
Stefano Berrone, Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino (2021 ) Predicting flux in Discrete Fracture Networks via Graph Informed Neural Networks
L. Cagliero, L. Canale, L. Farinetti, E. Baralis, E. Venuto (2021 ) Predicting student academic performance by means of associative classification, In: APPLIED SCIENCES, pp. 1-22, ISSN: 2076-3417
Paolo Bethaz, Xanthi Bampoula, Tania Cerquitelli, Nikolaos Nikolakis, Kosmas Alexopoulos, Enrico Macii, Peter Van Wilgen (2021 ) Predictive Maintenance in the Production of Steel Bars: A Data-Driven Approach, In: Predictive Maintenance in Smart Factories
Peter Benner, Stefano Grivet-talocia, Alfio Quarteroni, Gianluigi Rozza, Wil Schilders, Luìs Miguel Silveira Magdeburg (2021 ) Preface to the first volume of Model Order Reduction
Dena Markudova, Sachit Mishra, Luca Cagliero, Luca Vassio, Marco Mellia, Elena Baralis, Lucia Salvatori, Riccardo Loti (2021 ) Preventive maintenance for heterogeneous industrial vehicles with incomplete usage data, In: COMPUTERS IN INDUSTRY, pp. 103468, ISSN: 0166-3615
Silvia Buccafusco, Andrea Megaro, Luca Cagliero, Francesco Vaccarino, Lucia Salvatori, Riccardo Loti (2021 ) Profiling industrial vehicle duties using CAN bus signal segmentation and clustering, In: Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, pp. 1-6, ISBN: 978-3-89318-084-4
Greta Vallero, Daniela Renga, Michela Meo, Marco Ajmone Marsan (2021 ) RAN energy efficiency and failure rate through ANN traffic predictions processing, In: COMPUTER COMMUNICATIONS, pp. 51-63, ISSN: 0140-3664
Claudia Landi, Sara Scaramuccia (2021 ) Relative-perfectness of discrete gradient vector fields and multi-parameter persistent homology, In: JOURNAL OF COMBINATORIAL OPTIMIZATION, ISSN: 1382-6905
Alessio Sacco, Flavio Esposito, Guido Marchetto (2021 ) Resource Inference for Sustainable and Responsive Task Offloading in Challenged Edge Networks, In: IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, pp. 1114-1127, ISSN: 2473-2400
Tullio Palmerini, Antonio Giulio Bruno, Björn Redfors, Marco Valgimigli, Nevio Taglieri, Fausto Feres, Alexandre Abizaid, Ricardo Costa, Martine Gilard, Marie-claude Morice, Myeong-ki Hong, Byeong-keuk Kim, Yangsoo Jang, Hyo-soo Kim, Kyung Woo Park, Antonio Colombo, Alaide Chieffo, Masato Nakamura, Lak N Kotinkaduwa, Elena Nardi, Francesco Saia, Mauro Gasparini, Giulia Rizzello, Giora Weisz, Ajay J Kirtane, Roxana Mehran, Bernhard Witzenbichler, Nazzareno Galiè, Gregg W Stone (2021 ) Risk-Benefit of 1-Year DAPT After DES Implantation in Patients Stratified by Bleeding and Ischemic Risk, In: JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, pp. 1968-1986, ISSN: 1558-3597
Giulia Milan, Luca Vassio, Idilio Drago, Marco Mellia (2021 ) RL-IoT: Reinforcement Learning to Interact with IoT Devices, In: Titolo volume non avvalorato, pp. 1-6, ISBN: 978-1-6654-3156-9
Simone Angarano, Vittorio Mazzia, Francesco Salvetti, Giovanni Fantin, Marcello Chiaberge (2021 ) Robust ultra-wideband range error mitigation with deep learning at the edge, In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, pp. 104278-104286, ISSN: 0952-1976
Melissa Latella, Arjen Luijendijk, Antonio M. Moreno-rodenas, Carlo Vincenzo Camporeale (2021 ) Satellite Image Processing for the Coarse-Scale Investigation of Sandy Coastal Areas, In: REMOTE SENSING, pp. 4613, ISSN: 2072-4292
Luca Gioacchini, Angelica Poli, Stefania Cecchi, Susanna Spinsante (2021 ) Sensors Characterization for a Calibration-Free Connected Smart Insole for Healthy Ageing, In: IoT Technologies for HealthCare, pp. 35-54, ISBN: 978-3-030-69963-5
C. Pronello, P. Kumawat (2021 ) Smartphone Applications Developed to Collect Mobility Data: A Review and SWOT Analysis, In: ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING, pp. 449-467, ISSN: 2194-5357
Matteo Pesce, Jost-diedrich Graf Von Hardenberg, Pierluigi Claps, Alberto Viglione (2021 ) Spatio-temporal correlation of climate indices and river floods in Northwestern Italy, In: Atti del 37° Convegno Nazionale di Idraulica e Costruzioni Idrauliche, ISBN: 9788894379914
Matteo Rolle, Stefania Tamea, Pierluigi Claps (2021 ) Spatio-temporal variability of global crop water requirement, during 1950-2020
A. Zanco, T. Bradde, M. De Stefano, S. Grivet-talocia, G. Hoehne, P. Brenner (2021 ) Structured black-box parameterized macromodels of integrated passive components, In: IEEE MTT-S International Microwave Symposium Digest, pp. 5-8, ISBN: 978-1-6654-0307-8
Moreno La Quatra, Luca Cagliero, Elena Maria Baralis, Alberto Messina, Maurizio Montagnuolo (2021 ) Summarize Dates First: A Paradigm Shift in Timeline Summarization, In: 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021, Virtual, Online, 11 July 2021 - 15 July 2021, 170067, pp. 418-427, ISBN: 978-145038037-9
Alessio Sacco, Matteo Flocco, Flavio Esposito, Guido Marchetto (2021 ) Supporting Sustainable Virtual Network Mutations with Mystique, In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 2714-2727, ISSN: 1932-4537
Alessio Sacco, Flavio Esposito, Guido Marchetto, Paolo Montuschi (2021 ) Sustainable Task Offloading in UAV Networks via Multi-Agent Reinforcement Learning, In: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, pp. 5003-5015, ISSN: 0018-9545
Francesco Vaccarino (2021 ) Symmetric products, linear representations and trace identities, In: BEITRAGE ZUR ALGEBRA UND GEOMETRIE, ISSN: 0138-4821
Luca Vassio, Michele Garetto, Carla Fabiana Chiasserini, Emilio Leonardi (2021 ) Temporal Dynamics of Posts and User Engagement of Influencers on Facebook and Instagram, In: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 129-133
Fei Guo, Kemal Aygun, W. Dale Becker, Stefano Grivet Talocia, Jose A. Hejase, Wui-weng Wong, Tingdong Zhou, Heidi Barnes, Zhen Peng, Alexander Pelger, Mohamed Sahouli, Jose Schutt-aine, Feng Ling, Elmar Griese, Pavel Roy Paladhi, Rohit Sharma, Nam Pham, Thomas-michael Winkel, Evan Fledell, Michael J. Hill, Benjamin Silva, Kaisheng Hu, Jonatan Aronsson, Chang Liu, Yiru Jeong, Ali E. Yilmaz (2021 ) The IEEE EPS Packaging Benchmark Suite, In: 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), pp. 1-4, ISBN: 978-1-6654-4269-5
Francesca Soro, Thomas Favale, Danilo Giordano, Luca Vassio, Zied Ben Houidi, Idilio Drago (2021 ) The New Abnormal: Network Anomalies in the AI Era, In: Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning, pp. 261-288, ISBN: 9781119675501, 97...
Federico Battiston, Enrico Amico, Alain Barrat, Ginestra Bianconi, Guilherme Ferraz De Arruda, Benedetta Franceschiello, Iacopo Iacopini, Sonia Kéfi, Vito Latora, Yamir Moreno, Micah M. Murray, Tiago P. Peixoto, Francesco Vaccarino, Giovanni Petri (2021 ) The physics of higher-order interactions in complex systems, In: NATURE PHYSICS, pp. 1093-1098, ISSN: 1745-2473
Fabio Bertone, Luca Vassio, Martino Trevisan (2021 ) The stock exchange of influencers: a financial approach for studying fanbase variation trends, In: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 431-435, ISBN: 9781450391283
A. Zanco, S. Grivet-talocia (2021 ) Towards fully automated high-dimensional parameterized macromodeling, In: IEEE TRANSACTIONS ON COMPONENTS, PACKAGING, AND MANUFACTURING TECHNOLOGY, pp. 1402-1416, ISSN: 2156-3950
Azadeh Faroughi, Andrea Morichetta, Luca Vassio, Flavio Figueiredo, Marco Mellia, Reza Javidan (2021 ) Towards website domain name classification using graph based semi-supervised learning, In: COMPUTER NETWORKS, pp. 107865, ISSN: 1389-1286
Roberto Giorgio Rizzo, Valentino Peluso, Andrea Calimera (2021 ) TVFS: Topology Voltage Frequency Scaling for Reliable Embedded ConvNets, In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS, pp. 672-676, ISSN: 1549-7747
Andrea Morichetta, Martino Trevisan, Luca Vassio, Julia Krickl (2021 ) Understanding web pornography usage from traffic analysis, In: COMPUTER NETWORKS, ISSN: 1389-1286
Jorge Fernandez-de-cossio-diaz, Guido Uguzzoni, Andrea Pagnani (2021 ) Unsupervised inference of protein fitness landscape from deep mutational scan, In: MOLECULAR BIOLOGY AND EVOLUTION, pp. 318-328, ISSN: 0737-4038
Valentino Rizzo, Stefano Traverso, Marco Mellia (2021 ) Unveiling Web Fingerprinting in the Wild Via Code Mining and Machine Learning, In: PROCEEDINGS ON PRIVACY ENHANCING TECHNOLOGIES, pp. 44-63, ISSN: 2299-0984
S. Treccarichi, C. Di Gaetano, F. Di Stefano, M. Gasparini, F. Branca (2021 ) Using simple sequence repeats in 9 brassica complex species to assess hypertrophic curd induction, In: AGRICULTURE, pp. 622, ISSN: 2077-0472
Pinky Kumawat, Cristina Pronello (2021 ) Validating Italian General Ecological Behaviour Questionnaire of Travellers Using Dichotomous Rasch Model, In: SUSTAINABILITY, pp. 1-25, ISSN: 2071-1050
Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio Munafo, Giovanna Carofiglio (2021 ) What's my App?: ML-based classification of RTC applications, In: PERFORMANCE EVALUATION REVIEW, pp. 41-44, ISSN: 0163-5999
A. Polydoropoulou, I. Tsouros, N. Thomopoulos, C. Pronello, A. Elvarsson, H. Sigthorsson, N. Dadashzadeh, K. Stojmenova, J. Sodnik, S. Neophytou, D. Esztergar-kiss, J. Hamadneh, G. Parkhurst, S. Etzioni, Y. Shiftan, F. Di Ciommo (2021 ) Who is willing to share their AV? Insights about gender differences among seven countries, In: SUSTAINABILITY, pp. 4769-4787, ISSN: 2071-1050
Nikhil Jha, Thomas Favale, Luca Vassio, Martino Trevisan, Marco Mellia (2021 ) z-anonymity: Zero-Delay Anonymization for Data Streams, In: Proceedings of the 2020 IEEE International Conference on Big Data (Big Data), pp. 3996-4005, ISBN: 978-1-7281-6251-5...
Thomas Favale, Martino Trevisan, Idilio Drago, Marco Mellia (2021 ) α-MON: Traffic Anonymizer for Passive Monitoring, In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 1-14, ISSN: 1932-4537

2020 publications

Anna Boschi, Francesco Salvetti, Vittorio Mazzia, Marcello Chiaberge (2020 ) A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge, In: MACHINES, pp. 49-67, ISSN: 2075-1702
T. Huang, L. Gioacchini, F. Guaiana, B. Valente, G. Pio Domiziani (2020 ) A Data-based Platform for Supporting Profit-driven Strategy in the Italian Spot Electricity Markets, In: UPEC 2020 - 2020 55th International Universities Power Engineering Conference, Proceedings, pp. 1-6, ISBN: 978-1-7281-1078-3
T. Cerquitelli, E. D. Corso, S. Proto, P. Bethaz, D. Mazzarelli, A. Capozzoli, E. Baralis, M. Mellia, S. Casagrande, M. Tamburini (2020 ) A data-driven energy platform: from energy performance certificates to human-readable knowledge through dynamic high-resolution geospatial maps, In: ELECTRONICS, pp. 1-26, ISSN: 2079-9292
Sina Famouri, Lia Morra, Fabrizio Lamberti (2020 ) A deep learning approach for efficient registration of dual view mammography, In: Proc. 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2020), pp. 162-172
Alessio Sacco, Flavio Esposito, Guido Marchetto (2020 ) A Distributed Reinforcement Learning Approach for Energy and Congestion-Aware Edge Networks, In: Proceedings of the 16th International Conference on Emerging Networking EXperiments and Technologies (CoNEXT), pp. 546-547, ISBN: 9781450379489
Alessio Sacco, Flavio Esposito, Guido Marchetto (2020 ) A Federated Learning Approach to Routing in Challenged SDN-Enabled Edge Networks, In: 2020 6th IEEE Conference on Network Softwarization (NetSoft), pp. 150-154
S. Spinsante, L. Gioacchini, L. Scalise (2020 ) A field-measurements-based LoRa network planning tool, In: ACTA IMEKO, pp. 21-29, ISSN: 0237-028X
Marco Civera, Stefano Grivet-talocia, Cecilia Surace, Luca Zanotti Fragonara (2020 ) A generalised power-law formulation for the modelling of damping and stiffness nonlinearities, In: MECHANICAL SYSTEMS AND SIGNAL PROCESSING, pp. 1-21, ISSN: 0888-3270
T. Huang, L. Gioacchini, F. Guaiana, S. Huang, B. Valente, G. Pio Domiziani (2020 ) A Hybrid Data-and-simulation-based Analysis of the Participants' Behavior Potential in the Italian Spot Electricity Markets, In: UPEC 2020 - 2020 55th International Universities Power Engineering Conference, Proceedings, pp. 1-6, ISBN: 978-1-7281-1078-3
Luca Urbinati, Marco Ricci, Giovanna Turvani, Jorge A. Tobon Vasquez, Francesca Vipiana, Mario R. Casu (2020 ) A Machine-Learning Based Microwave Sensing Approach to Food Contaminant Detection, In: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, ISBN: 978-1-7281-3320-1
T. Wendt, C. Yang, D. Bruns H., S. Grivet-talocia, C. Schuster (2020 ) A Macromodeling-Based Hybrid Method for the Computation of Transient Electromagnetic Fields Scattered by Nonlinearly Loaded Metal Structures, In: IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, pp. 1098-1110, ISSN: 0018-9375
A. Zanco, S. Grivet-talocia (2020 ) A mesh-free adaptive parametric macromodeling strategy with guaranteed stability, In: Proceedings of the 2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE, EMC EUROPE 2020, pp. 1-6, ISBN: 978-1-7281-5579-1
C. Paolino, L. Prono, F. Pareschi, M. Mangia, R. Rovatti, G. Setti (2020 ) A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC, In: INTEGRATION, pp. 40-51, ISSN: 0167-9260
L. Tarasova, S. Basso, D. Wendi, A. Viglione, R. Kumar, R. Merz (2020 ) A Process-Based Framework to Characterize and Classify Runoff Events: The Event Typology of Germany, In: WATER RESOURCES RESEARCH, ISSN: 0043-1397
Paolo Manfredi, Stefano Grivet Talocia (2020 ) A rational polynomial chaos formulation for the uncertainty quantification of linear circuits in the frequency domain
Stefano Ballesio, Fabio Castiglione, Enrico Fabrizio, Antonio Mastropietro (2020 ) A Reinforced Learning (RL) algorithm for optimal control of HVAC: Comparison with a standard PI control for the supermarket DOE reference building, In: Proceedings of Building Simulation 2019: the 16th Conference of IBPSA, pp. 1412-1419, ISBN: 978-1-7750520-1-2
P. Mozgunov, M. Gasparini, T. Jaki (2020 ) A surface-free design for phase I dual-agent combination trials, In: STATISTICAL METHODS IN MEDICAL RESEARCH, pp. 3093-3109, ISSN: 0962-2802
M. Mangia, F. Pareschi, R. Rovatti, G. Setti (2020 ) Adapted Compressed Sensing: A Game Worth Playing, In: IEEE CIRCUITS AND SYSTEMS MAGAZINE, pp. 40-60, ISSN: 1531-636X
Anke Meyer-base, Lia Morra, Marc Lobbes, Uwe Meyer-base, Katja Pinker (2020 ) AI-enhanced diagnosis of challenging lesions in breast MRI: a methodology and application primer, In: JOURNAL OF MAGNETIC RESONANCE IMAGING, ISSN: 1053-1807
Francesco Luigi Milone, Alessandro Destefanis (2020 ) Airbnb Adoption Process from Home-Owners’ Perspective in Italian Market, In: Conference Proceedings, London United Kingdom Aug 20-21, 2020, Part X, pp. 1046-1056
Anna Paola Muntoni, Andrea Pagnani, Martin Weigt, Francesco Zamponi (2020 ) Aligning biological sequences by exploiting residue conservation and coevolution, In: PHYSICAL REVIEW. E, pp. 062409, ISSN: 2470-0045
Alessio Sacco, Matteo Flocco, Flavio Esposito, Guido Marchetto (2020 ) An architecture for adaptive task planning in support of IoT-based machine learning applications for disaster scenarios, In: COMPUTER COMMUNICATIONS, pp. 769-778, ISSN: 0140-3664
Domenico Colucci, Lia Morra, Xiaoyang Zhang, Davide Fissore, Fabrizio Lamberti (2020 ) An automatic computer vision pipeline for the in-line monitoring of freeze-drying processes, In: COMPUTERS IN INDUSTRY, pp. 1-12, ISSN: 0166-3615
Gianvito Urgese, Paolo Azzoni, Jan Van Deventer, Jerker Delsing, Enrico Macii (2020 ) An Engineering Process model for managing a digitalised life-cycle of products in the Industry 4.0, In: Proceedings of 2020 IEEE/IFIP Network Operations and Management Symposium (NOMS 2020)
Elena Daraio, Luca Cagliero, Silvia Anna Chiusano, Paolo Garza, Giuseppe Ricupero (2020 ) An explainable data-driven approach to web directory taxonomy mapping, In: Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES2020, pp. 1101-1110
Ali Safari Khatouni, Martino Trevisan, Danilo Giordano, Mohammad Rajiullah, Stefan Alfredsson, Anna Brunstrom, Cise Midoglu, Özgü Alay (2020 ) An Open Dataset of Operational Mobile Networks, In: MobiWac '20: Proceedings of the 18th ACM Symposium on Mobility Management and Wireless, pp. 83-90, ISBN: 9781450381192
Francesco Della Santa, Maria Ferrara, Matteo Bilardo, Alessandro De Gregorio, Antonio Mastropietro, Ulderico Fugacci, Francesco Vaccarino, Enrico Fabrizio (2020 ) Application of Deep Learning to Design Renewable Energy Systems fo a Zero Energy Multifamily Building, In: Titolo volume non avvalorato
Diego Aghi, Vittorio Mazzia, Marcello Chiaberge (2020 ) Autonomous Navigation in Vineyards with Deep Learning at the Edge, In: Advances in Service and Industrial Robotics, pp. 479-486, ISBN: 978-3-030-48988-5...
Emanuele Pontoglio, Nives Grasso, Andrea Cagninei, Paolo Dabove, Carlo Camporeale, Andrea Maria Lingua (2020 ) Bathymetric detection of fluvial environments through UASs and machine learning systems, In: REMOTE SENSING, pp. 1-24, ISSN: 2072-4292
Gianvito Urgese, Emanuele Parisi, Orazio Scicolone, Santa Di Cataldo, Elisa Ficarra (2020 ) BioSeqZip: a collapser of NGS redundant reads for the optimisation of sequence analysis, In: BIOINFORMATICS, ISSN: 1367-4803
Tommaso Bradde, Stefano Grivet-talocia, Giuseppe C. Calafiore, Anton V. Proskurnikov, Zohaib Mahmood, Luca Daniel (2020 ) Bounded Input Dissipativity of Linearized Circuit Models, In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS, pp. 2064-2077, ISSN: 1549-8328
E. Pastor, E. Baralis (2020 ) Bring Your Own Data to X-PLAIN, In: Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 2805-2808, ISBN: 9781450367356
Thomas Favale, Francesca Soro, Martino Trevisan, Idilio Drago, Marco Mellia (2020 ) Campus Traffic and e-Learning during COVID-19 Pandemic, In: COMPUTER NETWORKS, ISSN: 1389-1286
P. Claps, D. Ganora, A. Apostolo, I. Brignolo, I. Monforte (2020 ) Catalogo delle Piene dei Corsi d’acqua Italiani
P. Claps, D. Ganora, A. Apostolo, I. Brignolo, I. Monforte (2020 ) Catalogo delle Piene dei Corsi d’acqua Italiani
P. Claps, D. Ganora, A. Apostolo, I. Brignolo, I. Monforte (2020 ) Catalogo delle Piene dei Corsi d’acqua Italiani
David Lun, Alberto Viglione, Miriam Bertola, Jürgen Komma, Juraj Parajka, Peter Valent, Günter Blöschl (2020 ) Characteristics and process controls of statistical flood moments in Europe – a data based analysis, In: HYDROLOGY AND EARTH SYSTEM SCIENCES DISCUSSIONS, ISSN: 1812-2116
B. Vacchetti, T. Cerquitelli, R. Antonino (2020 ) Cinematographic Shot Classification through Deep Learning, In: Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020, pp. 345-350, ISBN: 978-1-7281-7303-0
Luca Cagliero, Paolo Garza, Moreno La Quatra (2020 ) Combining Machine Learning and Natural Language Processing for Language-Specific, Multi-Lingual, and Cross-Lingual Text Summarization: A Wide-Ranging Overview, In: Trends and Applications of Text Summarization Techniques, pp. 1-31, ISBN: 9781522593737, 15...
Alfredo Braunstein, Anna Paola Muntoni, Andrea Pagnani, Mirko Pieropan (2020 ) Compressed sensing reconstruction using Expectation Propagation, In: JOURNAL OF PHYSICS. A, MATHEMATICAL AND THEORETICAL, pp. 184001, ISSN: 1751-8113
Andrea Guidolin, Jose Divasón, Ana Romero, Francesco Vaccarino (2020 ) Computing invariants for multipersistence via spectral systems and effective homology, In: JOURNAL OF SYMBOLIC COMPUTATION, pp. 724-753, ISSN: 0747-7171
S. Scaramuccia, F. Iuricich, L. De Floriani, C. Landi (2020 ) Computing multiparameter persistent homology through a discrete Morse-based approach, In: COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS, pp. 101623, ISSN: 0925-7721
Daniele Apiletti, Eliana Pastor (2020 ) Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining, In: ELECTRONICS, ISSN: 2079-9292
Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis (2020 ) Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment, In: CEUR Workshop Proceedings
Alessandro Destefanis, Lorenzo Angelini, Daniele Borlizzi, Alessandro Carlucci, Giuseppe Ciardella, Giuseppe Governale, Isotta Morfini (2020 ) Cultural tourism development and the impact on local communities: a case study from the South of Italy, In: CERN IDEASQUARE JOURNAL OF EXPERIMENTAL INNOVATION, pp. 19-24, ISSN: 2413-9505
Gã¼nter Blã¶schl, Andrea Kiss, Alberto Viglione, Mariano Barriendos, Oliver Bã¶hm, Rudolf Br('(a))zdil, Denis Coeur, Gaston Demar('(e))e, Maria Carmen Llasat, Neil Macdonald, Dag Retsã¶, Lars Roald, Petra Schmocker-fackel, In(^(e))s Amorim, Monika B( (e))l('(i))nov('(a)), Gerardo Benito, Chiara Bertolin, Dario Camuffo, Daniel Cornel, Rados(l)aw Doktor, L('(i))bor Elleder, Silvia Enzi, Jo(~(a))o Carlos Garcia, Rã¼diger Glaser, Julia Hall, Klaus Haslinger, Michael Hofstã¤tter, Jã¼rgen Komma, Danuta Liman('(o))wka, David Lun, Andrei Panin, Juraj Parajka, Hrvoje Petri('(c)), Fernando S. Rodrigo, Christian Rohr, Johannes Schã¶nbein, Lothar Schulte, Lu('(i))s Pedro Silva, Willem H. J. Toonen, Peter Valent, Jã¼rgen Waser, Oliver Wetter (2020 ) Current European flood-rich period exceptional compared with past 500~years, In: NATURE, pp. 560-566, ISSN: 0028-0836
Anke Meyer-bäse, Lia Morra, Uwe Meyer-bäse, Katja Pinker (2020 ) Current Status and Future Perspectives of Artificial Intelligence in Magnetic Resonance Breast Imaging, In: CONTRAST MEDIA & MOLECULAR IMAGING, ISSN: 1555-4309
T. Cerquitelli, A. Regalia, E. Manfredi, F. Conicella, P. Bethaz, E. Liore (2020 ) Data-Driven Estimation of Heavy-Truck Residual Value at the Buy-Back, In: IEEE ACCESS, pp. 102409-102418, ISSN: 2169-3536
Daniela Renga, Daniele Apiletti, Danilo Giordano, Matteo Nisi, Tao Huang, Yang Zhang, Marco Mellia, Elena Maria Baralis (2020 ) Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis, In: COMPUTING, pp. 1-13, ISSN: 1436-5057
D. Valsesia, G. Fracastoro, E. Magli (2020 ) Deep Graph-Convolutional Image Denoising, In: IEEE TRANSACTIONS ON IMAGE PROCESSING, pp. 8226-8237, ISSN: 1057-7149
Laura Lopez Fuentes, Alessandro Farasin, Mirko Zaffaroni, Harald Skinnemoen, Paolo Garza (2020 ) Deep learning models for road passability detection during flood events using social media data, In: APPLIED SCIENCES, ISSN: 2076-3417
L. Prono, M. Mangia, A. Marchioni, F. Pareschi, R. Rovatti, G. Setti (2020 ) Deep Neural Oracle with Support Identification in the Compressed Domain, In: IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, pp. 458-468, ISSN: 2156-3357
M. Mangia, L. Prono, A. Marchioni, F. Pareschi, R. Rovatti, G. Setti (2020 ) Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals, In: IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, pp. 545-557, ISSN: 1932-4545
Marta Lovino, Maria Serena Ciaburri, Gianvito Urgese, Santa Di Cataldo, Elisa Ficarra (2020 ) DEEPrior: a deep learning tool for the prioritization of gene fusions, In: BIOINFORMATICS, ISSN: 1367-4803
A. Bordone Molini, D. Valsesia, G. Fracastoro, E. Magli (2020 ) DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images, In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, pp. 3644-3656, ISSN: 0196-2892
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli (2020 ) DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images, In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3644-3656
David Lun, Svenja Fischer, Alberto Viglione, Günter Blöschl (2020 ) Detecting Flood‐Rich and Flood‐Poor Periods in Annual Peak Discharges Across Europe, In: WATER RESOURCES RESEARCH, pp. e2019WR026575, ISSN: 0043-1397
Gabriele Ciravegna, Pietro Barbiero, Giansalvo Cirrincione, Giovanni Squillero, Alberto Tonda (2020 ) Discovering Hierarchical Neural Archetype Sets, In: Progresses in Artificial Intelligence and Neural Systems, pp. 255-267, ISBN: 978-981-15-5092-8...
Stefano Berrone, Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino (2020 ) Discrete Fracture Network insights by eXplainable AI
Miriam Bertola, Alberto Viglione, Sergiy Vorogushyn, David Lun, Bruno Merz, Günter Blöschl (2020 ) Do small and large floods have the same drivers of change? A regional attribution analysis in Europe, In: HYDROLOGY AND EARTH SYSTEM SCIENCES DISCUSSIONS, ISSN: 1812-2116
Martino Trevisan, Francesca Soro, Marco Mellia, Idilio Drago, Ricardo Morla (2020 ) Does domain name encryption increase users' privacy?, In: COMPUTER COMMUNICATION REVIEW, pp. 16-22, ISSN: 0146-4833
Alessandro Farasin, Luca Colomba, Paolo Garza (2020 ) Double-Step U-Net: A Deep Learning-Based Approach for the Estimation of Wildfire Damage Severity through Sentinel-2 Satellite Data, In: APPLIED SCIENCES, ISSN: 2076-3417
Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Maria Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, Silvia Anna Chiusano (2020 ) DSLE: A Smart Platform for Designing Data Science Competitions, In: 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 133-142, ISBN: 978-1-7281-7303-0
Alessandro Ciociola, Michele Cocca, Danilo Giordano, Luca Vassio, Marco Mellia (2020 ) E-Scooter Sharing: Leveraging Open Data for System Design, In: 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), pp. 1-8, ISBN: 978-1-7281-7343-6
Matteo Grimaldi, Valentino Peluso, Andrea Calimera (2020 ) EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets, In: 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), pp. 233-237, ISBN: 978-1-7281-4922-6
Marilisa Montemurro, Gianvito Urgese, Elena Grassi, Carmelo Gabriele Pizzino, Andrea Bertotti, Elisa Ficarra (2020 ) Effective evaluation of clustering algorithms on single-cell CNA data, In: Proceedings of ACM 7th International Conference on Biomedical and Bioinformatics Engineering (ICBBE 2020), ISBN: 978-1-4503-8822-1
V. Peluso, R. G. Rizzo, A. Calimera (2020 ) Efficacy of topology scaling for temperature and latency constrained embedded convnets, In: JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS, pp. 10, ISSN: 2079-9268
I. Biazzo, A. Ramezanpour (2020 ) Efficiency and irreversibility of movements in a city, In: SCIENTIFIC REPORTS, pp. 4334, ISSN: 2045-2322
V. Peluso, A. Cipolletta, A. Calimera, M. Poggi, F. Tosi, F. Aleotti, S. Mattoccia (2020 ) Enabling monocular depth perception at the very edge, In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 1581-1583, ISBN: 978-1-7281-9360-1
T Cerquitelli, N Nikolakis, P Bethaz, S Panicucci, F Ventura, E Macii, S Andolina, A Marguglio, K Alexopoulos, P Petrali, A Pagani, P Van Wilgen, M Ippolito (2020 ) Enabling predictive analytics for smart manufacturing through an IIoT platform, In: 53, pp. 179-184
Moreno La Quatra, Luca Cagliero (2020 ) End-to-end Training For Financial Report Summarization, In: Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation, pp. 118-123
Alessandro Zanco, Stefano Grivet-talocia, Tommaso Bradde, Marco De Stefano (2020 ) Enforcing passivity of parameterized LTI macromodels via Hamiltonian-driven multivariate adaptive sampling, In: IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, pp. 225-238, ISSN: 0278-0070
Enrico Palumbo, Diego Michele Monti, Giuseppe Rizzo, Raphaël Troncy, Elena Maria Baralis (2020 ) entity2rec: Property-specific knowledge graph embeddings for item recommendation, In: EXPERT SYSTEMS WITH APPLICATIONS, pp. 1-18, ISSN: 0957-4174
Martino Trevisan, Ali Safari Khatouni, Danilo Giordano (2020 ) ERRANT: Realistic Emulation of Radio Access Networks, In: COMPUTER NETWORKS, ISSN: 1389-1286
D. Apiletti, E. Pastor, R. Callà, E. Baralis (2020 ) Evaluating espresso coffee quality by means of time-series feature engineering, In: CEUR Workshop Proceedings
G. Squillero, A. Tonda (2020 ) Evolutionary algorithms and machine learning: Synergies, Challenges and Opportunities, In: GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pp. 1190-1205, ISBN: 9781450371278
M. La Quatra, L. Cagliero, E. Baralis (2020 ) Exploiting pivot words to classify and summarize discourse facets of scientific papers, In: SCIENTOMETRICS, pp. 1-19, ISSN: 0138-9130
Jacopo Fior, Luca Cagliero (2020 ) Exploring the Use of Data at Multiple Granularity Levels in Machine Learning-Based Stock Trading, In: Deep data intelligence for finance (DDIF), pp. 333-340
L. Cagliero, M. La Quatra (2020 ) Extracting highlights of scientific articles: A supervised summarization approach, In: EXPERT SYSTEMS WITH APPLICATIONS, pp. 113659, ISSN: 0957-4174
Martino Trevisan, Danilo Giordano, Idilio Drago, Maurizio Matteo Munafo, Marco Mellia (2020 ) Five Years at the Edge: Watching Internet From the ISP Network, In: IEEE-ACM TRANSACTIONS ON NETWORKING, pp. 561-574, ISSN: 1063-6692
M. Bertola, A. Viglione, D. Lun, J. Hall, G. Bloschl (2020 ) Flood trends in Europe: Are changes in small and big floods different?, In: HYDROLOGY AND EARTH SYSTEM SCIENCES, pp. 1805-1822, ISSN: 1027-5606
Petropoulos Fotios, Daniele Apiletti, Assimakopoulos Vassilios, Mohamed Zied Babai, Devon K. Barrow, Bergmeir Christoph, Ricardo J. Bessa, John E. Boylan, Browell Jethro, Carnevale Claudio, Jennifer L. Castle, Cirillo Pasquale, Michael P. Clements, Cordeiro Clara, Fernando Luiz Cyrino Oliveira, Shari De Baets, Dokumentov Alexander, Fiszeder Piotr, Philip Hans Franses, Gilliland Michael, M. Sinan Gönül, Goodwin Paul, Grossi Luigi, Grushka-cockayne Yael, Guidolin Mariangela, Guidolin Massimo, Gunter Ulrich, Guo Xiaojia, Guseo Renato, Harvey Nigel, David F. Hendry, Hollyman Ross, Januschowski Tim, Jeon Jooyoung, Victor Richmond R. Jose, Kang Yanfei, Anne B. Koehler, Kolassa Stephan, Kourentzes Nikolaos, Sonia Leva, Li Feng, Litsiou Konstantia, Makridakis Spyros, Andrew B. Martinez, Meeran Sheik, Modis Theodore, Nikolopoulos Konstantinos, Önkal Dilek, Paccagnini Alessia, Panapakidis Ioannis, Jose M. Pavía, Pedio Manuela, Diego J. Pedregal, Pinson Pierre, Ramos Patrícia, David E. Rapach (2020 ) Forecasting: theory and practice
Meltini Christodoulaki, Maria Samantha Esposito, Alessandro Mantelero, Nicole Monte, Giuseppe Vaciago (2020 ) Fostering cybersecurity in Europe through regulation, In: Cybercrime: New Threats, New Responses, pp. 104-125, ISBN: 978-84-17580-15-5
L. Cagliero, M. La Quatra, D. Apiletti (2020 ) From Hotel Reviews to City Similarities: A Unified Latent-Space Model, In: ELECTRONICS, pp. 1-16, ISSN: 2079-9292
Pietro Barbiero, Gabriele Ciravegna, Giansalvo Cirrincione, Alberto Tonda, Giovanni Squillero (2020 ) Generating Neural Archetypes to Instruct Fast and Interpretable Decisions, In: DECON 2019, pp. 45-52, ISBN: 978-3-030-38226-1...
C. H. Pimentel-romero, M. Mangia, F. Pareschi, R. Rovatti, G. Setti (2020 ) Geometric Constraints in Sensing Matrix Design for Compressed Sensing, In: SIGNAL PROCESSING, pp. 107498, ISSN: 0165-1684
M. A. Mansoori, M. R. Casu (2020 ) High level design of a flexible PCA hardware accelerator using a new block-streaming method, In: ELECTRONICS, pp. 449-471, ISSN: 2079-9292
Marco Guerra, Alessandro De Gregorio, Ulderico Fugacci, Giovanni Petri, Francesco Vaccarino (2020 ) Homological Scaffold via Minimal Homology Bases
V. Rappazzo, C. Pronello (2020 ) How much pricing measures can help achieve sustainable goals: A market segmentation based on road pricing acceptability, In: Proceedings of TRA2020, the 8th Transport Research Arena: Rethinking transport – towards clean and inclusive mobility, ISBN: 978-952-311-484-5
Alessandro Zanco, Stefano Grivet-talocia (2020 ) Hyperparameter determination in multivariate macromodeling based on radial basis functions, In: 2020 IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), pp. 1-3, ISBN: 978-1-7281-6161-7
Paola Mazzoglio, Ilaria Butera, Pierluigi Claps (2020 ) I2-RED: A Massive Update and Quality Control of the Italian Annual Extreme Rainfall Dataset, In: WATER, ISSN: 2073-4441
Alessandro Ciociola, Dena Markudova, Luca Vassio, Danilo Giordano, Marco Mellia, Michela Meo (2020 ) Impact of Charging Infrastructure and Policies on Electric Car Sharing Systems, In: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), pp. 1-6, ISBN: 978-1-7281-4149-7
Matteo Rolle, Stefania Tamea, Pierluigi Claps (2020 ) Improved large-scale crop water requirement estimation through new high-resolution reanalysis dataset
Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Paolo Garza, Elena Maria Baralis (2020 ) Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images, In: 2020 IEEE International Conference on Big Data, pp. 5786-5788, ISBN: 978-1-7281-6251-5
Wojciech Chacholski, Alessandro De Gregorio, Nicola Quercioli, Francesca Tombari (2020 ) Landscapes of data sets and functoriality of persistent homology
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli (2020 ) Learning Graph-Convolutional Representations for Point Cloud Denoising, In: Proceedings of the European Conference on Computer Vision ECCV 2020
Giuseppe Attanasio, Luca Cagliero, Elena Baralis (2020 ) Leveraging the explainability of associative classifiers to support quantitative stock trading, In: Proceedings of the Sixth International Workshop on Data Science for Macro-Modeling, pp. 1-6, ISBN: 9781450380300
M. Floridia, D. Lagana, C. Mastroianni, M. Meo, D. Renga (2020 ) Load Management with Predictions of Solar Energy Production for Cloud Data Centers, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 8986-8990, ISBN: 978-1-5090-6631-5
Diego Aghi, Vittorio Mazzia, Marcello Chiaberge (2020 ) Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy, In: MACHINES, pp. 27, ISSN: 2075-1702
M. Mangia, A. Marchioni, L. Prono, F. Pareschi, R. Rovatti, G. Setti (2020 ) Low-power ECG acquisition by Compressed Sensing with Deep Neural Oracles, In: Proceedings - 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2020, pp. 158-162, ISBN: 978-1-7281-4922-6
L. Prono, M. Mangia, A. Marchioni, F. Pareschi, R. Rovatti, G. Setti (2020 ) Low-power fixed-point compressed sensing decoder with support oracle, In: Proceedings - IEEE International Symposium on Circuits and Systems, ISBN: 978-1-7281-3320-1
Andrea Morichetta (2020 ) Machine Learning and Big Data Approaches for Automatic Internet Monitoring
Riccardo Cantoro, Martin Huch, Tobias Kilian, Raffaele Martone, Ulf Schlichtmann, Giovanni Squillero (2020 ) Machine Learning based Performance Prediction of Microcontrollers using Speed Monitors, In: IEEE International Test Conference, pp. 1-5, ISBN: 978-1-7281-9113-3
S. Mishra, L. Vassio, L. Cagliero, M. Mellia, E. Baralis, R. Loti, L. Salvatori (2020 ) Machine learning supported next-maintenance prediction for industrial vehicles, In: CEUR Workshop Proceedings
S. Etzioni, J. Hamadneh, A. B. Elvarsson, D. Esztergar-kiss, M. Djukanovic, S. N. Neophytou, J. Sodnik, A. Polydoropoulou, I. Tsouros, C. Pronello, N. Thomopoulos, Y. Shiftan (2020 ) Modeling cross-national differences in automated vehicle acceptance, In: SUSTAINABILITY, pp. 1-22, ISSN: 2071-1050
Francesco Salvetti, Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge (2020 ) Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks, In: REMOTE SENSING, pp. 2207, ISSN: 2072-4292
F. Colombo, F. Della Santa, S. Pieraccini (2020 ) Multi-objective optimisation of an aerostatic pad: design of position, number and diameter of the supply holes, In: JOURNAL OF MECHANICS, pp. 347-360, ISSN: 1727-7191
S. Berrone, J. D. Hyman, S. Pieraccini (2020 ) Multilevel Monte Carlo predictions of first passage times in three‐dimensional discrete fracture networks: a graph‐based approach, In: WATER RESOURCES RESEARCH, ISSN: 0043-1397
P. Barbiero, G. Cirrincione, M. Cirrincione, E. Piccolo, F. Vaccarino (2020 ) Neural Epistemology in Dynamical System Learning, In: Smart Innovation, Systems and Technologies, pp. 213-221, ISBN: 978-981-13-8949-8...
D. Valsesia, G. Fracastoro, E. Magli (2020 ) NIR image colorization with graph-convolutional neural networks, In: 2020 IEEE International Conference on Visual Communications and Image Processing, VCIP 2020, pp. 451-454, ISBN: 978-1-7281-8068-7
Fabio Garcea, Alessandro Cucco, Lia Morra, Fabrizio Lamberti (2020 ) Object tracking through residual and dense LSTMs, In: Image Analysis and Recognition. ICIAR 2020. Lecture Notes in Computer Science, pp. 100-111
Michele Cocca, Douglas Teixeira, Luca Vassio, Marco Mellia, Jussara M. Almeida, Ana Paula Couto Da Couto Da Silva (2020 ) On Car-Sharing Usage Prediction with Open Socio-Demographic Data, In: ELECTRONICS, pp. 72-91, ISSN: 2079-9292
T. Bradde, S. Grivet-talocia, G. C. Calafiore, A. V. Proskurnikov, Z. Mahmood, L. Daniel (2020 ) On Dissipativity Conditions for Linearized Models of Locally Active Circuit Blocks, In: 2020 IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), pp. 1-3, ISBN: 978-1-7281-6161-7
Alessio Sacco, Flavio Esposito, Guido Marchetto, Grant Kolar, Kate Schwetye (2020 ) On Edge Computing for Remote Pathology Consultations and Computations, In: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, pp. 2523-2534, ISSN: 2168-2194
Michelangelo Barulli, Alessandro Ciociola, Michele Cocca, Luca Vassio, Danilo Giordano, Marco Mellia (2020 ) On Scalability of Electric Car Sharing in Smart Cities, In: 2020 IEEE International Smart Cities Conference (ISC2), pp. 1-8, ISBN: 978-1-7281-8294-0
Alessandro De Gregorio, Ulderico Fugacci, Facundo Memoli, Francesco Vaccarino (2020 ) On the notion of weak isometry for finite metric spaces
A. P. Couto Da Silva, D. Renga, M. Meo, M. Ajmone Marsan (2020 ) On the Use of Small Solar Panels and Small Batteries to Reduce the RAN Carbon Footprint, In: 2020 Mediterranean Communication and Computer Networking Conference, MedComNet 2020, pp. 1-8, ISBN: 978-1-7281-6248-5
Ghada Tay, Cristina Pronello (2020 ) People perceptions and public acceptance of autonomous vehicles: A literature review, In: Proceedings of TRA2020, the 8th Transport Research Arena: Rethinking transport – towards clean and inclusive mobility, ISBN: 978-952-311-484-5
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli (2020 ) Point Cloud Normal Estimation with Graph-Convolutional Neural Networks, In: 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp. 1-6, ISBN: 978-1-7281-1485-9
Giuseppe Attanasio, Eliana Pastor (2020 ) PoliTeam@AMI: Improving Sentence Embedding Similarity with Misogyny Lexicons for Automatic Misogyny Identification in Italian Tweets, In: Proceedings of the 7th Evaluation Campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020)
Junnan Shan, Mihai T. Lazarescu, Jordi Cortadella, Luciano Lavagno, Mario R. Casu (2020 ) Power-Optimal Mapping of CNN Applications to Cloud-Based Multi-FPGA Platforms, In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS, pp. 3073-3077, ISSN: 1549-7747
Elena Daraio, Luca Cagliero, Silvia Chiusano, Paolo Garza, Danilo Giordano (2020 ) Predicting Car Availability in Free Floating Car Sharing Systems: Leveraging Machine Learning in Challenging Contexts, In: ELECTRONICS, pp. 1322, ISSN: 2079-9292
Marta Lovino, Gianvito Urgese, Enrico Macii, Santa Di Cataldo, Elisa Ficarra (2020 ) Predicting the oncogenic potential of gene fusions using convolutional neural networks, In: Computational Intelligence Methods for Bioinformatics and Biostatistics, pp. 277-284, ISBN: 978-3-030-34584-6...
Jacopo Fior, Luca Cagliero, Paolo Garza (2020 ) Price Series Cross-Correlation Analysis to Enhance the Diversification of Itemset-based Stock Portfolios, In: Proceedings of the Sixth International Workshop on Data Science for Macro-Modeling, DSMM 2020, In conjunction with the ACM SIGMOD/PODS Conference, pp. 1-6, ISBN: 9781450380300
Greta Vallero, Daniela Renga, Michela Meo, Marco Ajmone Marsan (2020 ) Processing ANN Traffic Predictions for RAN Energy Efficiency, In: Proceedings of the 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 235-244, ISBN: 9781450381178
Vittorio Mazzia, Aleem Khaliq, Francesco Salvetti, Marcello Chiaberge (2020 ) Real-Time Apple Detection System using Embedded Systems with Hardware Accelerators: an Edge AI Application, In: IEEE ACCESS, pp. 9102-9114, ISSN: 2169-3536
Gianluca Perna, Martino Trevisan, Danilo Giordano (2020 ) Realistic testing of RTC applications under mobile networks, In: Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies, pp. 532-533, ISBN: 9781450379489
Stefano Proto, Evelina Di Corso, Daniele Apiletti, Luca Cagliero, Tania Cerquitelli, Giovanni Malnati, Davide Mazzucchi (2020 ) REDTag: A Predictive Maintenance Framework for Parcel Delivery Services, In: IEEE ACCESS, pp. 14953-14964, ISSN: 2169-3536
F. Soro, M. Mellia, N. Russo (2020 ) Regular pattern and anomaly detection on corporate transaction time series, In: CEUR Workshop Proceedings
Alessandro Mantelero (2020 ) Regulating AI within the Human Rights Framework: A Roadmapping Methodology, In: European Yearbook on Human Rights, pp. 477-502, ISBN: 9781780689722
Michela Meo, Daniela Renga (2020 ) Renewable energy-enabled wireless networks, In: Green Communications for Energy-Efficient Wireless Systems and Networks, ISBN: 9781839530685
Alessio Sacco, Flavio Esposito, Guido Marchetto (2020 ) Resource Inference for Task Migration in Challenged Edge Networks with RITMO, In: 2020 IEEE 9th International Conference on Cloud Networking (CloudNet), pp. 1-7, ISBN: 978-1-7281-9486-8
Alessio Sacco, Flavio Esposito, Guido Marchetto (2020 ) RoPE: An Architecture for Adaptive Data-Driven Routing Prediction at the Edge, In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 986-999, ISSN: 1932-4537
M. Testa, T. Bianchi, E. Magli (2020 ) Secrecy Analysis of Finite-Precision Compressive Cryptosystems, In: IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, pp. 1-13, ISSN: 1556-6013
Francesca Soro, Mauro Allegretta, Marco Mellia, Idilio Drago, Leandro M. Bertholdo (2020 ) Sensing the Noise: Uncovering Communities in Darknet Traffic, In: Mediterranean Communication and Computer Networking Conference, ISBN: 978-1-7281-6248-5
Lia Morra, Francesco Manigrasso, Giuseppe Canto, Claudio Gianfrate, Enrico Guarino, Fabrizio Lamberti (2020 ) Slicing and dicing soccer: automatic detection of complex events from spatio-temporal data, In: 17th International Conference on Image Analysis and Recognition (ICIAR 2020), pp. 107-121
Lia Morra, Francesco Manigrasso, Fabrizio Lamberti (2020 ) SoccER: Computer graphics meets sports analytics for soccer event recognition, In: SOFTWAREX, ISSN: 2352-7110
A. Marchioni, M. Mangia, F. Pareschi, R. Rovatti, G. Setti (2020 ) Subspace Energy Monitoring for Anomaly Detection @Sensor or @Edge, In: IEEE INTERNET OF THINGS JOURNAL, pp. 7575-7589, ISSN: 2327-4662
Alessandro Farasin, Luca Colomba, Giulio Palomba, Giovanni Nini, Claudio Rossi (2020 ) Supervised Burned Areas delineation by means of Sentinel-2 imagery and Convolutional Neural Networks, In: ISCRAM 2020 Conference Proceedings - 17th International Conference on Information Systems for Crisis Response And Management, pp. 1060-1071
Evelina Forno, Simone Moio, Michael Schenatti, Enrico Macii, Gianvito Urgese (2020 ) Techniques for improving localization applications running on low-cost IoT devices, In: Titolo volume non avvalorato, ISBN: 978-8-8872-3749-8
Luca Mocerino, Andrea Calimera (2020 ) TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks, In: Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), pp. 261-265, ISBN: 978-1-7281-4922-6
Alessandro Mantelero, Giuseppe Vaciago, Maria Samantha Esposito, Nicole Monte (2020 ) The common EU approach to personal data and cybersecurity regulation, In: INTERNATIONAL JOURNAL OF LAW AND INFORMATION TECHNOLOGY, pp. 297-328, ISSN: 0967-0769
Alessandro Destefanis, Paolo Neirotti, Emilio Paolucci, Elisabetta Raguseo (2020 ) The impact of Airbnb on the economic performance of independent hotels: an empirical investigation of the moderating effects, In: CURRENT ISSUES IN TOURISM, pp. 1-31, ISSN: 1368-3500
Stefano Quer, Andrea Marcelli, Giovanni Squillero (2020 ) The Maximum Common Subgraph Problem: A Parallel and Multi-Engine Approach, In: COMPUTATION, pp. 1-29, ISSN: 2079-3197
M. Kyriakidis, J. Sodnik, K. Stojmenova, A. B. Elvarsson, C. Pronello, N. Thomopoulos (2020 ) The role of human operators in safety perception of av deployment—insights from a large european survey, In: SUSTAINABILITY, pp. 1-24, ISSN: 2071-1050
D. Sudholt, G. Squillero (2020 ) Theory and practice of population diversity in evolutionary computation, In: GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pp. 975-992, ISBN: 9781450371278
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli (2020 ) Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks, In: International Geoscience and Remote Sensing Symposium, IGARSS 2020, pp. 2507-2510
Luca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis (2020 ) Training ensembles of faceted classification models for quantitative stock trading, In: COMPUTING, pp. 1213-1225, ISSN: 0010-485X
Valentina Rappazzo, Cristina Pronello (2020 ) Travellers' Attitude Towards Road Pricing: a Comparison of Quali-Quantitative Segmentation Techniques, In: Proceedings of Transportation Research Board 99th Annual meeting
Vittorio Mazzia, Lorenzo Comba, Aleem Khaliq, Marcello Chiaberge, Paolo Gay (2020 ) UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture, In: SENSORS, pp. 2530, ISSN: 1424-8220
Alessandro Zanco, Stefano Grivet-talocia, Tommaso Bradde, Marco De Stefano (2020 ) Uniformly Stable Parameterized Macromodeling through Positive Definite Basis Funtions, In: IEEE TRANSACTIONS ON COMPONENTS, PACKAGING, AND MANUFACTURING TECHNOLOGY, pp. 1782-1794, ISSN: 2156-3950
Carlos Henrique Gomes Ferreira, Fabricio Murai, Ana Paula Couto Da Silva, Jussara Marques De Almeida, Martino Trevisan, Luca Vassio, Idilio Drago, Marco Mellia (2020 ) Unveiling Community Dynamics on Instagram Political Network, In: 12th ACM Conference on Web Science, pp. 231-240, ISBN: 9781450379892
Vittorio Mazzia, Fred Daneshgaran, Marina Mondin (2020 ) Use of Deep Learning for Automatic Detection of Cracks in Tunnels, In: Progresses in Artificial Intelligence and Neural Systems, pp. 91-101, ISBN: 978-981-15-5092-8...
Luca Vassio, Michele Garetto, Carla Fabiana Chiasserini, Emilio Leonardi (2020 ) User Interaction with Online Advertisements: Temporal Modeling and Optimization of Ads Placement, In: ACM TRANSACTIONS ON MODELING AND PERFORMANCE EVALUATION OF COMPUTING SYSTEMS, pp. 1-26, ISSN: 2376-3639
Eliana Giovannitti, Giovanni Squillero, Tonda Alberto (2020 ) Virtual Measurement of the Backlash Gap in Industrial Manipulators, In: Proceedings SEMCCO 2019 & FANCCO 2019, pp. 189-200
Thomas Favale, Martino Trevisan, Idilio Drago, Marco Mellia (2020 ) α-MON: Anonymized Passive Traffic Monitoring, In: Proceedings of the 2020 32nd International Teletraffic Congress (ITC 32), pp. 10-18, ISBN: 978-3-948377-02-1...

2019 publications

Martino Trevisan, Stefano Traverso, Eleonora Bassi, Marco Mellia (2019 ) 4 Years of EU Cookie Law: Results and Lessons Learned, In: PROCEEDINGS ON PRIVACY ENHANCING TECHNOLOGIES, pp. 126-145, ISSN: 2299-0984
E. Fevola, A. Zanco, S. Grivet-talocia, T. Bradde, M. De Stefano (2019 ) A 3D passivity-based adaptive algorithm for automated parameterized macromodeling of electromagnetic structures, In: Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019, pp. 22-25, ISBN: 978-1-7281-0563-5
Marta Lovino, Gianvito Urgese, Enrico Macii, Santa Di Cataldo, Elisa Ficarra (2019 ) A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans, In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, pp. 1-13, ISSN: 1422-0067
Luciano Prono, A. Marchioni, M. Mangia, F. Pareschi, R. Rovatti, G. Setti (2019 ) A High-level Implementation Framework for Non-Recurrent Artificial Neural Networks on FPGA, In: PRIME 2019 - 15th Conference on Ph.D. Research in Microelectronics and Electronics, Proceedings, pp. 77-80, ISBN: 978-1-7281-3549-6
A. S. Khatouni, F. Soro, D. Giordano (2019 ) A machine learning application for latency prediction in operational 4G networks, In: 2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019, pp. 71-74, ISBN: 978-3-903176-15-7
Francesco Ventura, Stefano Proto, Daniele Apiletti, Tania Cerquitelli, Simone Panicucci, Elena Baralis, Enrico Macii, Alberto Macii (2019 ) A new unsupervised predictive-model self-assessment approach that SCALEs, In: 2019 IEEE International Congress on Big Data, pp. 144-148, ISBN: 978-1-7281-2772-9
H. A. H. Hassan, D. Renga, M. Meo, L. Nuaymi (2019 ) A Novel Energy Model for Renewable Energy-Enabled Cellular Networks Providing Ancillary Services to the Smart Grid, In: IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, pp. 381-396, ISSN: 2473-2400
S. Spinsante, L. Gioacchini, L. Scalise (2019 ) A novel experimental-based tool for the design of LoRa networks, In: 2019 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2019 - Proceedings, pp. 317-322, ISBN: 978-1-7281-0429-4
Yi Qing Xiao, Stefano Grivet-talocia, Paolo Manfredi, Roni Khazaka (2019 ) A Novel Framework for Parametric Loewner Matrix Interpolation, In: IEEE TRANSACTIONS ON COMPONENTS, PACKAGING, AND MANUFACTURING TECHNOLOGY, pp. 2404-2417, ISSN: 2156-3950
Gaelle Saint-hilary, Veronique Robert, Mauro Gasparini, Thomas Jaki, Pavel Mozgunov (2019 ) A novel measure of drug benefit–risk assessment based on Scale Loss Score, In: STATISTICAL METHODS IN MEDICAL RESEARCH, pp. 962280218786526, ISSN: 0962-2802
Carmine Paolino, F. Pareschi, M. Mangia, R. Rovatti, G. Setti (2019 ) A Practical Architecture for SAR-based ADCs with Embedded Compressed Sensing Capabilities, In: PRIME 2019 - 15th Conference on Ph.D. Research in Microelectronics and Electronics, Proceedings, pp. 133-136, ISBN: 978-1-7281-3549-6
M. Ferrara, B. Monechi, G. Valenti, C. Liberto, M. Nigro, I. Biazzo (2019 ) A simulation tool for energy management of e-mobility in urban areas, In: MT-ITS 2019 - 6th International Conference on Models and Technologies for Intelligent Transportation Systems, pp. 1-7, ISBN: 978-1-5386-9484-8
Alessandro Dralconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas (2019 ) A Survey on Big Data for Network Traffic Monitoring and Analysis, In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 800-813, ISSN: 1932-4537
Andrea Pasini, Elena Baralis, Paolo Garza, Davide Floriello, Michela Idiomi, Andrea Ortenzi, Simone Ricci (2019 ) Adaptive hierarchical clustering for petrographic image analysis, In: CEUR Workshop Proceedings
Alessandro Gaballo, Matteo Flocco, Esposito Flavio, Guido Marchetto (2019 ) ADELE: An Architecture for Steering Traffic and Computations via Deep Learning in Challenged Edge Networks, In: 4th International Conference on Computing, Communications and Security (ICCCS), pp. 1-8, ISBN: 978-1-7281-0875-9
Mirko Zaffaroni, Laura Lopez Fuentes, Alessandro Farasin, Paolo Garza, Harald Skinnemoen (2019 ) AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data, In: Multimedia Satellite Task Flood Severity Estimation, pp. 1-3
E. Fevola, A. Zanco, S. Grivet-talocia, T. Bradde, M. De Stefano (2019 ) An Adaptive Algorithm for Fully Automated Extraction of Passive Parameterized Macromodels, In: 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2019, pp. 1-4, ISBN: 978-1-5386-9516-6
Elisa Fevola, Alessandro Zanco, Stefano Grivet-talocia, Tommaso Bradde, Marco De Stefano (2019 ) An Adaptive Sampling Process for Automated Multivariate Macromodeling Based on Hamiltonian-Based Passivity Metrics, In: IEEE TRANSACTIONS ON COMPONENTS, PACKAGING, AND MANUFACTURING TECHNOLOGY, pp. 1698-1711, ISSN: 2156-3950
O. C. Akgun, M. Mangia, F. Pareschi, R. Rovatti, G. Setti, W. A. Serdijn (2019 ) An energy-efficient multi-sensor compressed sensing system employing time-mode signal processing techniques, In: Proceedings - IEEE International Symposium on Circuits and Systems, pp. 1-5, ISBN: 978-1-7281-0397-6
Riccardo Cantoro, Aleksa Damljanovic, Matteo Sonza Reorda, Giovanni Squillero (2019 ) An Enhanced Evolutionary Technique for the Generation of Compact Reconfigurable Scan-Network Tests, In: JOURNAL OF CIRCUITS, SYSTEMS, AND COMPUTERS, ISSN: 0218-1266
Agnese V. Ventrella, Esposito Flavio, Alessio Sacco, Matteo Flocco, Guido Marchetto, Gururajan Srikanth (2019 ) APRON: an Architecture for Adaptive Task Planning of Internet of Things in Challenged Edge Networks, In: 2019 IEEE 8th International Conference on Cloud Networking (CloudNet), pp. 1-6, ISBN: 978-172814832-8
V. Peluso, M. Grimaldi, A. Calimera (2019 ) Arbitrary-Precision Convolutional Neural Networks on Low-Power IoT Processors, In: IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC, pp. 142-147, ISBN: 978-1-7281-3915-9
Francesca Soro, Idilio Drago, Martino Trevisan, Marco Mellia, Joao Ceron, Jose J. Santanna (2019 ) Are Darknets All The Same? On Darknet Visibility for Security Monitoring, In: 2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), pp. 1-6, ISBN: 978-1-7281-1434-7
Lia Morra, Silvia Delsanto, Loredana Correale (2019 ) Artificial Intelligence in Medical Imaging. From Theory to Clinical Practice
D. Floriello, A. Ortenzi, M. Idiomi, S. Ricci, A. Amendola, S. Carminati, E. Baralis, P. Garza, A. Pasini (2019 ) Automatic pore typing classification from 2D images, In: Offshore Mediterranean Conference and Exhibition 2019, OMC 2019
Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Maria Baralis (2019 ) Automating concept-drift detection by self-evaluating predictive model degradation
Donkyu Baek, Yukai Chen, Alberto Bocca, Lorenzo Bottaccioli, Santa Di Cataldo, Valentina Gatteschi, Daniele Jahier Pagliari, Edoardo Patti, Gianvito Urgese, Naehyuck Chang, Alberto Macii, Enrico Macii, Paolo Montuschi, Massimo Poncino (2019 ) Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles, In: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, pp. 5471-5482, ISSN: 0018-9545
Elvira Maria Erhardt, Ursino Moreno, Biewenga Jeike, Jacobs Tom, Mauro Gasparini (2019 ) Bayesian knowledge integration for an in vitro–in vivocorrelation model, In: BIOMETRICAL JOURNAL, ISSN: 0323-3847
G. Urgese, F. Barchi, E. Parisi, E. Forno, A. Acquaviva, E. Macii (2019 ) Benchmarking a many-core neuromorphic platform with an MPI-based DNA sequence matching algorithm, In: ELECTRONICS, pp. 1342, ISSN: 2079-9292
Lia Morra, Fabrizio Lamberti (2019 ) Benchmarking unsupervised near-duplicate image detection, In: EXPERT SYSTEMS WITH APPLICATIONS, pp. 313-326, ISSN: 0957-4174
Martino Trevisan (2019 ) Big Data for Traffic Monitoring and Management
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Jose Luis Jimenez Moro, Mourad Tighiouart, Mauro Gasparini (2019 ) Cancer phase I trial design using drug combinations when a fraction of dose limiting toxicities is attributable to one or more agents, In: BIOMETRICAL JOURNAL, ISSN: 0323-3847
Luca Cagliero, Silvia Anna Chiusano, Daraio Elena, Paolo Garza (2019 ) CarPredictor: forecasting the number of free floating car sharing vehicles within restricted urban areas, In: 2019 IEEE International Congress on Big Data, BigData Congress 2019, Milan, IT, July 8-13, 2019, pp. 72-76, ISBN: 978-1-7281-2772-9
Cristina Pronello, Jean-baptiste Gaborieau, Valentina Rappazzo, Valerio Operti (2019 ) Case study on effects of the mandatory validation on bus commercial speed, In: EUROPEAN JOURNAL OF TRANSPORT AND INFRASTRUCTURE RESEARCH, pp. 43-59, ISSN: 1567-7141
C. Pronello, J. B. Gaborieau, V. Rappazzo (2019 ) CASE STUDY ON EFFECTS OF THE MANDATORY VALIDATION ON BUS COMMERCIAL SPEED, In: Proceedings of the Transportation Research Board 98th Annual meeting
Larisa Tarasova, Ralf Merz, Andrea Kiss, Stefano Basso, Günter Blöschl, Bruno Merz, Alberto Viglione, Stefan Plötner, Björn Guse, Andreas Schumann, Svenja Fischer, Bodo Ahrens, Faizan Anwar, András Bárdossy, Philipp Bühler, Uwe Haberlandt, Heidi Kreibich, Amelie Krug, David Lun, Hannes Müller-thomy, Ross Pidoto, Cristina Primo, Jochen Seidel, Sergiy Vorogushyn, Luzie Wietzke (2019 ) Causative classification of river flood events, In: WIRES. WATER, pp. e1353, ISSN: 2049-1948
M. Mangia, A. Marchioni, F. Pareschi, R. Rovatti, G. Setti (2019 ) Chained Compressed Sensing for Iot Node Security, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 7580-7584, ISBN: 978-1-4799-8131-1
M. Mangia, A. Marchioni, F. Pareschi, R. Rovatti, G. Setti (2019 ) Chained Compressed Sensing: A Blockchain-Inspired Approach for Low-Cost Security in IoT Sensing, In: IEEE INTERNET OF THINGS JOURNAL, pp. 6465-6475, ISSN: 2327-4662
Günter Blöschl, Julia Hall, Alberto Viglione, Rui A P Perdigão, Juraj Parajka, Bruno Merz, David Lun, Berit Arheimer, Giuseppe T Aronica, Ardian Bilibashi, Miloň Boháč, Ognjen Bonacci, Marco Borga, Ivan Čanjevac, Attilio Castellarin, Giovanni B Chirico, Pierluigi Claps, Natalia Frolova, Daniele Ganora, Liudmyla Gorbachova, Ali Gül, Jamie Hannaford, Shaun Harrigan, Maria Kireeva, Andrea Kiss, Thomas R Kjeldsen, Silvia Kohnová, Jarkko J Koskela, Ondrej Ledvinka, Neil Macdonald, Maria Mavrova-guirguinova, Luis Mediero, Ralf Merz, Peter Molnar, Alberto Montanari, Conor Murphy, Marzena Osuch, Valeryia Ovcharuk, Ivan Radevski, José L Salinas, Eric Sauquet, Mojca Šraj, Jan Szolgay, Elena Volpi, Donna Wilson, Klodian Zaimi, Nenad Živković (2019 ) Changing climate both increases and decreases European river floods, In: NATURE, ISSN: 0028-0836
Andrea Morichetta, Martino Trevisan, Luca Vassio (2019 ) Characterizing Web Pornography Consumption from Passive Measurements, In: Lecture Notes in Computer Science, pp. 304-316, ISBN: 978-3-030-15985-6...
Maurizia Mello-grand, Ilaria Gregnanin, Lidia Sacchetto, Paola Ostano, Andrea Zitella, Giulia Bottoni, Marco Oderda, Giancarlo Marra, Stefania Munegato, Barbara Pardini, Alessio Naccarati, Mauro Gasparini, Paolo Gontero, Giovanna Chiorino (2019 ) Circulating microRNAs combined with PSA for accurate and non-invasive prostate cancer detection, In: CARCINOGENESIS, pp. 246-253, ISSN: 0143-3334
Andrea Morichetta, Marco Mellia (2019 ) Clustering and evolutionary approach for longitudinal web traffic analysis, In: PERFORMANCE EVALUATION, pp. 102033, ISSN: 0166-5316
Francesco Barchi, Gianvito Urgese, Enrico Macii, Andrea Acquaviva (2019 ) Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR, In: Proceedings of 2019 56th ACM/ESDA/IEEE Design Automation Conference (DAC 2019), ISBN: 978-1-4503-6725-7
Luca Cagliero, Giuseppe Attanasio, Paolo Garza, Elena Maria Baralis (2019 ) Combining news sentiment and technical analysis to predict stock trend reversal, In: IEEE ICDM 2019 Workshops Proceedings, pp. 514-521
M. Iannaccone, M. Abdirashid, U. Annone, G. Saint-hilary, P. Meier, A. Chieffo, S. Chen, C. Di Mario, F. Conrotto, P. Omede, A. Montefusco, M. De Benedictis, S. Rettegno, B. Doronzo, M. Gasparini, M. Rinaldi, M. D'amico, F. D'ascenzo (2019 ) Comparison between functional and intravascular imaging approaches guiding percutaneous coronary intervention: A network meta-analysis of randomized and propensity matching studies, In: CATHETERIZATION AND CARDIOVASCULAR INTERVENTIONS, pp. 1259-1266, ISSN: 1522-1946
Giovanni Iacobello, Luca Ridolfi, Massimo Marro, Pietro Salizzoni, Stefania Scarsoglio (2019 ) Complex network analysis of wind tunnel experiments on the passive scalar dispersion in a turbulent boundary layer, In: Book of Abstracts - iTi CONFERENCE ON TURBULENCE VIII, pp. 65-66
G. Iacobello, L. Ridolfi, M. Marro, P. Salizzoni, S. Scarsoglio (2019 ) Complex network analysis of wind tunnel experiments on the passive scalar dispersion in a turbulent boundary layer, In: Springer Proceedings in Physics, pp. 215-220, ISBN: 978-3-030-22195-9...
Giovanni Iacobello, Stefania Scarsoglio, J. G. M. Kuerten, Luca Ridolfi (2019 ) Complex network characterization of Lagrangian mixing in a turbulent channel flow, In: 9th European Postgraduate Fluid Dynamics Conference Book of Abstracts
Giovanni Iacobello, Stefania Scarsoglio, Hans Kuerten, Luca Ridolfi (2019 ) Complex network-based Lagrangian analysis of turbulent mixing in channel flows at different Reynolds numbers, In: Bulletin of the American Physical Society, pp. 813-813
S. Callegari, M. Mangia, R. Rovatti, G. Setti (2019 ) Compressed Sensing of ΔΣ Streams, In: 2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019, pp. 835-838, ISBN: 978-1-7281-0996-1
Karol Calo', Diego Gallo, Valentina Mazzi, Stefania Scarsoglio, Muhammad O. Khan, David A. Steinman, Luca Ridolfi, Umberto Morbiducci (2019 ) Computational hemodynamics & complex networks integrated platform to study intravascular flow in the carotid bifurcation, In: Proceedings of the 2019 Summer Biomechanics, Bioengineering, and Biotransport Conference, ISBN: 978-0-578-51234-1
Andrea Guidolin, Jose Divasón, Ana Romero, Francesco Vaccarino (2019 ) Computing Multipersistence by Means of Spectral Systems, In: Proceedings of the 2019 on International Symposium on Symbolic and Algebraic Computation, pp. 195-202, ISBN: 9781450360845
Claudio Siviero, Riccardo Trinchero, Stefano Grivet-talocia, Igor S. Stievano, Gianni Signorini, Mihai Telescu (2019 ) Constructive Signal Approximations for Fast Transient Simulation of Coupled Channels, In: IEEE TRANSACTIONS ON COMPONENTS, PACKAGING, AND MANUFACTURING TECHNOLOGY, pp. 2087-2096, ISSN: 2156-3950
L. Mocerino, A. Calimera (2019 ) CoopNet: Cooperative convolutional neural network for low-power MCUs, In: 2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019, pp. 414-417, ISBN: 978-1-7281-0996-1
L Vassio, M Mellia (2019 ) Data Analysis and Modelling of Users' Behavior on the Web, In: IFIP/IEEE Symposium on Integrated Network and Service Management, pp. 665-670, ISBN: 978-1-7281-0618-2
Ali Safari Khatouni, Martino Trevisan, Danilo Giordano (2019 ) Data-Driven Emulation of Mobile Access Networks, In: Proceedings of the 15th International Conference on Network and Service Management (CNSM), ISBN: 978-3-903176-24-9
Francesco Ponzio, Gianvito Urgese, Elisa Ficarra, Santa Di Cataldo (2019 ) Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology, In: ELECTRONICS, ISSN: 2079-9292
Vittorio Mazzia, Angelo Tartaglia, Marcello Chiaberge, Dario Gandini (2019 ) Deep Learning Algorithms for Complex Pattern Recognition in Ultrasonic Sensors Arrays, In: Machine Learning, Optimization, and Data Science, pp. 24-35, ISBN: 978-3-030-37598-0...
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli (2019 ) Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images, In: 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), pp. 1-5, ISBN: 978-1-7281-5294-3
Andrea Pasini, Elena Baralis (2019 ) Detecting Anomalies in Image Classification by Means of Semantic Relationships, In: Titolo volume non avvalorato, pp. 231-238, ISBN: 978-1-7281-1488-0
Marco Iorio, Fulvio Giovanni Ottavio Risso, Riccardo Sisto, Alberto Buttiglieri, Massimo Reineri (2019 ) Detecting Injection Attacks on Cooperative Adaptive Cruise Control, In: 2019 IEEE Vehicular Networking Conference (VNC) (IEEE VNC 2019), pp. 75-82, ISBN: 978-1-7281-4571-6
D. Renga, M. Meo (2019 ) Dimensioning Renewable Energy Systems to Power Mobile Networks, In: IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, pp. 366-380, ISSN: 2473-2400
Mohammad Reza Kavoosifar, Daniele Apiletti, Elena Maria Baralis, Paolo Garza, Benoit Huet (2019 ) Effective video hyperlinking by means of enriched feature sets and monomodal query combinations, In: INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL, ISSN: 2192-6611
Mohammadamir Mansoori, Mario R. Casu (2019 ) Efficient FPGA Implementation of PCA Algorithm for Large Data using High Level Synthesis, In: Titolo volume non avvalorato, pp. 65-68, ISBN: 978-1-7281-3549-6
Luca. Cagliero, Paolo Garza, Elena Baralis (2019 ) ELSA: A multilingual document summarization algorithm based on frequent itemsets and latent semantic analysis, In: ACM TRANSACTIONS ON INFORMATION SYSTEMS, pp. 1-33, ISSN: 1046-8188
V. Peluso, A. Cipolletta, A. Calimera, M. Poggi, F. Tosi, S. Mattoccia (2019 ) Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms, In: Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019, pp. 1703-1708, ISBN: 978-3-9819263-2-3
T. Bradde, P. Toledo, M. De Stefano, A. Zanco, S. Grivet-talocia, P. Crovetti (2019 ) Enabling fast power integrity transient analysis through parameterized small-signal macromodels, In: 2019 International Symposium on Electromagnetic Compatibility - EMC EUROPE, pp. 759-764, ISBN: 978-1-7281-0594-9
Eliana Pastor, Elena Maria Baralis (2019 ) Enhancing Interpretability of Black Box Models by means of Local Rules
Alessandro Destefanis, Elisabetta Raguseo, Emilio Paolucci, Paolo Neirotti, Andrea Panelli (2019 ) Estimating the impacts of Airbnb on the hotel industry: direct effects on performance and the moderating role of hotel location, In: IFKAD proceedings - Knowledge Ecosystems and Growth, ISBN: 978-88-96687-12-3
A. Libertino, D. Ganora, P. Claps (2019 ) Evidence for increasing rainfall extremes remains elusive at large spatial scales: the case of Italy, In: GEOPHYSICAL RESEARCH LETTERS, ISSN: 0094-8276
Eliana Giovannitti, Luca Mannella, Marcelli Andrea, Giovanni Squillero (2019 ) Evolutionary Antivirus Signature Optimization, In: Proceeding of Congress on Evolutionary Computation, pp. 905-912, ISBN: 978-1-7281-2153-6
Junnan Shan, Mario R. Casu, Jordi Cortadella, Luciano Lavagno, Mihai T. Lazarescu (2019 ) Exact and Heuristic Allocation of Multi-kernel Applications to Multi-FPGA Platforms, In: Proceedings of the 56th Annual Design Automation Conference 2019, pp. 1-6, ISBN: 9781450367257
G. Iacobello, M. Marro, L. Ridolfi, P. Salizzoni, S. Scarsoglio (2019 ) Experimental investigation of vertical turbulent transport of a passive scalar in a boundary layer: Statistics and visibility graph analysis, In: PHYSICAL REVIEW FLUIDS, ISSN: 2469-990X
E. Pastor, E. Baralis (2019 ) Explaining black box models by means of local rules, In: Proceedings of the ACM Symposium on Applied Computing, pp. 510-517, ISBN: 9781450359337
Ilaria Roberti, Marta Lovino, Santa Di Cataldo, Elisa Ficarra, Gianvito Urgese (2019 ) Exploiting Gene Expression Profiles for the Automated Prediction of Connectivity between Brain Regions, In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, ISSN: 1422-0067
T. Cerquitelli, G. Malnati, D. Apiletti (2019 ) Exploiting scalable machine-learning distributed frameworks to forecast power consumption of buildings, In: ENERGIES, pp. 2933-2950, ISSN: 1996-1073
Tania Cerquitelli, Evelina Di Corso, Stefano Proto, Alfonso Capozzoli, Fabio Bellotti, Maria Giovanna Cassese, Elena Maria Baralis, Marco Mellia, Silvia Casagrande, Martina Tamburini (2019 ) Exploring energy performance certificates through visualization, In: Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference,EDBT/ICDT 2019, Lisbon, Portugal, March 26, 2019.
S. Berrone, A. D’auria, F. Vicini (2019 ) Fast and robust flow simulations in discrete fracture networks with GPGPUs, In: GEM, ISSN: 1869-2672
Sahib Khan, Tiziano Bianchi (2019 ) Fast Image Clustering Based on Camera Fingerprint Ordering, In: 2019 IEEE International Conference on Multimedia and Expo (ICME), pp. 766-771, ISBN: 978-1-5386-9552-4
Flavio Giobergia, Elena Maria Baralis (2019 ) Fast Self-Organizing Maps Training, In: 2019 IEEE International Conference on Big Data, pp. 2257-2266
Francesco Barchi, Gianvito Urgese, Alessandro Siino, Santa Di Cataldo, Enrico Macii, Andrea Acquaviva (2019 ) Flexible on-line reconfiguration of multi-core neuromorphic platforms, In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, ISSN: 2168-6750
Andrea Acquaviva, Daniele Apiletti, Antonio Attanasio, Elena Maria Baralis, Lorenzo Bottaccioli, Tania Cerquitelli, Silvia Anna Chiusano, Enrico Macii, Edoardo Patti (2019 ) Forecasting Heating Consumption in Buildings: A Scalable Full-Stack Distributed Engine, In: ELECTRONICS, pp. 1-31, ISSN: 2079-9292
Michele Cocca, Danilo Giordano, Marco Mellia, Luca Vassio (2019 ) Free floating electric car sharing design: Data driven optimisation, In: PERVASIVE AND MOBILE COMPUTING, pp. 59-75, ISSN: 1574-1192
Michele Cocca, Danilo Giordano, Marco Mellia, Luca Vassio (2019 ) Free Floating Electric Car Sharing: A Data Driven Approach for System Design, In: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, pp. 1-13, ISSN: 1524-9050
I. Biazzo, B. Monechi, V. Loreto (2019 ) General scores for accessibility and inequality measures in urban areas, In: ROYAL SOCIETY OPEN SCIENCE, pp. 190979, ISSN: 2054-5703
G. Vallero, D. Renga, M. Meo, M. A. Marsan (2019 ) Greener RAN operation through machine learning, In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, ISSN: 1932-4537
D. Markudova, E. Baralis, L. Cagliero, M. Mellia, L. Vassio, E. Amparore, R. Loti, L. Salvatori (2019 ) Heterogeneous industrial vehicle usage predictions: A real case, In: CEUR Workshop Proceedings, pp. 1-6
Alessandro Zanco, Stefano Grivet-talocia (2019 ) High-Dimensional Parameterized Macromodeling with Guaranteed Stability, In: 2019 IEEE 28th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), pp. 1-3, ISBN: 978-1-7281-4585-3
Mohammadamir Mansoori, Mario R. Casu (2019 ) HLS-Based Flexible Hardware Accelerator for PCA Algorithm on a Low-Cost ZYNQ SoC, In: Proceedings of 2019 IEEE Nordic Circuits and Systems Conference, NORCAS 2019: NORCHIP and International Symposium of System-on-Chip, SoC 2019, pp. 1-7, ISBN: 978-1-7281-2769-9
M. Meo, D. Renga, M. T. Sarti (2019 ) Household users cooperation to reduce cost in green mobile networks, In: INTELEC, International Telecommunications Energy Conference (Proceedings), pp. 1-8, ISBN: 02750473
Luca Vassio (2019 ) Human Behaviour on the Web: Evolution, Interactions and Exploitation, In: International Workshop on Social Media World Sensors, pp. 3-4, ISBN: 9781450369039
C. Pronello (2019 ) I servizi di mobilità condivisa (shared mobility services) e l’evoluzione tecnologica, In: POLITICHE PIEMONTE, pp. 24-30, ISSN: 2279-5030
D. Valsesia, G. Fracastoro, E. Magli (2019 ) Image Denoising with Graph-Convolutional Neural Networks, In: Proceedings - International Conference on Image Processing, ICIP, pp. 2399-2403, ISBN: 978-1-5386-6249-6
P. Manfredi, S. Grivet-talocia (2019 ) Improved Stochastic Macromodeling of Electrical Circuits via Rational Polynomial Chaos Expansions, In: 2019 Joint International Symposium on Electromagnetic Compatibility, Sapporo and Asia-Pacific International Symposium on Electromagnetic Compatibility, EMC Sapporo/APEMC 2019, pp. 511-514, ISBN: 978-4-8855-2322-9
Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge (2019 ) Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN), In: APPLIED SCIENCES, pp. 238-260, ISSN: 2076-3417
M. Bertola, A. Viglione, G. Bloschl (2019 ) Informed attribution of flood changes to decadal variation of atmospheric, catchment and river drivers in Upper Austria, In: JOURNAL OF HYDROLOGY, pp. 123919, ISSN: 0022-1694
Araks Martirosyan, Marco Del Giudice, Chiara Enrico Bena, Andrea Pagnani, Carla Bosia, Andrea De Martino (2019 ) Kinetic modelling of competition and depletion of shared miRNAs by competing endogenous RNAs, In: Methods in Molecular Biology, pp. 367-409, ISBN: 978-1-4939-8981-2...
A. Mantelero (2019 ) La privacy all'epoca dei Big Data, In: I dati personali nel diritto europeo, pp. 1181-1212, ISBN: 978-88-921-1274-2
Giovanni Iacobello, Stefania Scarsoglio, Hans Kuerten, Luca Ridolfi (2019 ) Lagrangian mixing in wall-bounded turbulence: a network perspective, In: Book of Abstracts - 17th European Turbulence Conference
Giovanni Iacobello, Stefania Scarsoglio, J. G. M. Kuerten, Luca Ridolfi (2019 ) Lagrangian network analysis of turbulent mixing, In: JOURNAL OF FLUID MECHANICS, pp. 546-562, ISSN: 0022-1120
L. Kuil, G. Carr, A. Prskawetz, J. L. Salinas, A. Viglione, G. Bloschl (2019 ) Learning from the Ancient Maya: Exploring the Impact of Drought on Population Dynamics, In: ECOLOGICAL ECONOMICS, pp. 1-16, ISSN: 0921-8009
D. Valsesia, G. Fracastoro, E. Magli (2019 ) Learning localized generative models for 3D point clouds via graph convolution, In: 7th International Conference on Learning Representations, ICLR 2019
Andrea Morichetta, Marco Mellia (2019 ) LENTA: Longitudinal Exploration for Network Traffic Analysis from Passive Data, In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 814-827, ISSN: 1932-4537
Alessio Sacco, Flavio Esposito, Princewill Okorie, Guido Marchetto (2019 ) LiveMicro: An Edge Computing System for Collaborative Telepathology, In: 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19), pp. 1-6
S. Spinsante, A. Poli, S. Pirani, L. Gioacchini (2019 ) LoRa Evaluation in Mobility Conditions for a Connected Smart Shoe Measuring Physical Activity, In: 2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings, pp. 1-5, ISBN: 978-1-7281-1273-2
P. Mozgunov, T. Jaki, M. Gasparini (2019 ) Loss functions in restricted parameter spaces and their Bayesian applications, In: JOURNAL OF APPLIED STATISTICS, pp. 2314-2337, ISSN: 0266-4763
Francesco Barchi, Gianvito Urgese, Enrico Macii, Andrea Acquaviva (2019 ) Mapping Spiking Neural Networks on Multi-core Neuromorphic Platforms: Problem Formulation and Performance Analysis, In: VLSI-SoC: Design and Engineering of Electronics Systems Based on New Computing Paradigms, pp. 167-186, ISBN: 978-3-030-23424-9
Golnaz Zargarian, L Vassio, Maurizio Munafo, M Mellia (2019 ) Mining Patterns in Mobile Network Logs, In: IFIP/IEEE Symposium on Integrated Network and Service Management, pp. 1-6, ISBN: 978-1-7281-0618-2
J. Parajka, N. Bezak, J. Burkhart, B. Hauksson, L. Holko, Y. Hundecha, M. Jenicek, P. Krajci, W. Mangini, P. Molnar, P. Riboust, J. Rizzi, A. Sensoy, G. Thirel, A. Viglione (2019 ) Modis snowline elevation changes during snowmelt runoff events in Europe, In: JOURNAL OF HYDROLOGY AND HYDROMECHANICS, pp. 101-109, ISSN: 0042-790X
Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Giovanni Squillero (2019 ) Multi-level diversity promotion strategies for Grammar-guided Genetic Programming, In: APPLIED SOFT COMPUTING, ISSN: 1568-4946
Mauro Cociglio, Giuseppe Fioccola, Guido Marchetto, Amedeo Sapio, Riccardo Sisto (2019 ) Multipoint passive monitoring in packet networks, In: IEEE-ACM TRANSACTIONS ON NETWORKING, pp. 2377-2390, ISSN: 1063-6692
Fabrizio Lamberti, Federico Manuri, Andrea Sanna (2019 ) Multivariate visualization by scatterplots, In: Encyclopedia of Computer Graphics and Games, pp. 1-12, ISBN: 978-3-319-08234-9
Stefania Scarsoglio, Giovanni Iacobello, Luca Ridolfi, Massimo Marro, Pietro Stefano Salizzoni (2019 ) Network-based characterization of passive-scalar plume dynamics in a turbulent boundary layer, In: 17th Book of Abstracts of the European Turbulence Conference
Anna Paola Muntoni, Rafael Díaz Hernández Rojas, Alfredo Braunstein, Andrea Pagnani, Isaac Pérez Castillo (2019 ) Nonconvex image reconstruction via expectation propagation, In: PHYSICAL REVIEW. E, pp. 032134, ISSN: 2470-0053
T. Wendt, C. Yang, C. Schuster, S. Grivet-talocia (2019 ) Numerical complexity study of solving hybrid multiport field-circuit problems for diode grids, In: Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019, pp. 90-93, ISBN: 978-1-7281-0563-5
A. Zanco, S. Grivet-talocia, T. Bradde, M. De Stefano (2019 ) On stabilization of parameterized macromodeling, In: 2019 IEEE 23rd Workshop on Signal and Power Integrity, SPI 2019 - Proceedings, pp. 1-4, ISBN: 978-1-5386-8342-2
Giuseppe Siracusano, Martino Trevisan, Roberto Gonzalez, Roberto Bifulco (2019 ) On the Application of NLP to Discover Relationships between Malicious Network Entities
Martino Trevisan, Idilio Drago, Marco Mellia (2019 ) PAIN: A Passive Web Performance Indicator for ISPs, In: COMPUTER NETWORKS, pp. 115-126, ISSN: 1389-1286
Stefano Berrone, Stefano Scialo', Fabio Vicini (2019 ) Parallel meshing, discretization and computation of flow in massive discrete fracture networks, In: SIAM JOURNAL ON SCIENTIFIC COMPUTING, pp. 317-338, ISSN: 1064-8275
Moreno La Quatra, Luca Cagliero, Elena Maria Baralis (2019 ) Poli2Sum@ CL-SciSumm-19: Identify, Classify, and Summarize Cited Text Spans by means of Ensembles of Supervised Models, In: Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019), pp. 233-246
Gaelle Saint-hilary, Valentine Barboux, Matthieu Pannaux, Mauro Gasparini, Veronique Robert, Gianluca Mastrantonio (2019 ) Predictive probability of success using surrogate endpoints, In: STATISTICS IN MEDICINE, pp. 1753-1774, ISSN: 0277-6715
Stefano Proto, Francesco Ventura, Daniele Apiletti, Tania Cerquitelli, Elena Maria Baralis, Enrico Macii, Alberto Macii (2019 ) PREMISES, a scalable data-driven service to predict alarms in slowly-degrading multi-cycle industrial processes, In: 2019 IEEE International Congress on Big Data, pp. 139-143, ISBN: 978-1-7281-2772-9
Thomas Favale, Marco Mellia, Idilio Drago, Martino Trevisan (2019 ) Privacy-preserving network monitoring at high-speed, In: ACM IMC 2019
Sofia Fellini, Pietro Salizzoni, Lionel Soulhac, Luca Ridolfi (2019 ) Propagation of toxic substances in the urban atmosphere: A complex network perspective, In: ATMOSPHERIC ENVIRONMENT, pp. 291-301, ISSN: 1352-2310
Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis (2019 ) Quantitative cryptocurrency trading: exploring the use of machine learning techniques, In: Proceedings of the 5th workshop on data science for macro-modeling with financial and economic datasets, pp. 1-6, ISBN: 9781450368230
P. Manfredi, S. Grivet-talocia (2019 ) Rational Polynomial Chaos Expansions for the Stochastic Macromodeling of Network Responses, In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS, pp. 225-234, ISSN: 1549-8328
Luca Cagliero, Laura Farinetti, Elena Maria Baralis (2019 ) Recommending Personalized Summaries of Teaching Materials, In: IEEE ACCESS, pp. 22729-22739, ISSN: 2169-3536
Sahib Khan, Tiziano Bianchi (2019 ) Reduced Complexity Image Clustering Based on Camera Fingerprints, In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2682-2688, ISBN: 978-1-4799-8131-1
Aleem Khaliq, Vittorio Mazzia, Marcello Chiaberge (2019 ) Refining satellite imagery by using UAV imagery for vineyard environment: A CNN Based approach, In: 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), pp. 25-29, ISBN: 978-1-7281-3611-0
T. Bjoerklund, A. Fiandrotti, M. Annarumma, G. Francini, E. Magli (2019 ) Robust license plate recognition using neural networks trained on synthetic images, In: PATTERN RECOGNITION, pp. 134-146, ISSN: 0031-3203
Martino Trevisan, Idilio Drago (2019 ) Robust URL Classification With Generative Adversarial Networks, In: PERFORMANCE EVALUATION REVIEW, pp. 143-146, ISSN: 0163-5999
Lidia Sacchetto, Mauro Gasparini (2019 ) ROC curves with binary multivariate data, In: CLADAG 2019 Book of Short Papers, pp. 420-423, ISBN: 978-88-8317-108-6
Diego Valsesia, Giulia Fracastoro, Enrico Magli (2019 ) Sampling of graph signals via randomized local aggregations, In: IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, pp. 348-359, ISSN: 2373-776X
Federico Manuri, Andrea Sanna, Fabrizio Lamberti (2019 ) Single view vs. multiple views scatterplots, In: INTERNATIONAL JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, pp. 1426-1436, ISSN: 2088-8708
A. P. Couto Da Silva, D. Renga, M. Meo, M. Ajmone Marsan (2019 ) Small Solar Panels Can Drastically Reduce the Carbon Footprint of Radio Access Networks, In: Proceedings of the 31st International Teletraffic Congress, ITC 2019, pp. 64-65, ISBN: 978-0-9883045-7-4
Alessandro Gaballo, Matteo Flocco, Flavio Esposito, Guido Marchetto (2019 ) Steering Traffic via Recurrent Neural Networks in Challenged Edge Scenarios, In: International Conference on Network and Service Management (CNSM), pp. 1-5, ISBN: 978-3-903176-24-9
Giuseppe Bianchi, Claudio Bianc, Mauro Boldi, Raffaele Bolla, Olivier Le Grand, Michela Meo, Joel Penhoat, Daniela Renga (2019 ) Sustainability, a Key Issue of 5G Network Ecosystem, In: The 5G Italy Book 2019: a Multiperspective View of 5G, pp. 59-92, ISBN: 9788832170030
Alessandro Destefanis, Paolo Neirotti, Elisabetta Raguseo (2019 ) The impact of Airbnb on the hotels’ economic performance: An empirical investigation of the moderating effects, In: Titolo volume non avvalorato
Elena Facco, Andrea Pagnani, Elena Tea Russo, Alessandro Laio (2019 ) The intrinsic dimension of protein sequence evolution, In: PLOS COMPUTATIONAL BIOLOGY, pp. e1006767, ISSN: 1553-734X
Zied Ben Houidi, Giuseppe Scavo, Stefano Traverso, Renata Teixeira, Marco Mellia, Soumen Ganguly (2019 ) The News We Like Are Not the News We Visit: News Categories Popularity in Usage Data, In: THE 13TH INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA (ICWSM-2019), pp. 1-12
M. H. Barendrecht, A. Viglione, H. Kreibich, B. Merz, S. Vorogushyn, G. Blöschl (2019 ) The Value of Empirical Data for Estimating the Parameters of a Sociohydrological Flood Risk Model, In: WATER RESOURCES RESEARCH, ISSN: 0043-1397
Stefano Berrone, Matias Fernando Benedetto, Andrea Borio, Sandra Pieraccini, Stefano Scialo' (2019 ) The Virtual Element Method for the Transport of Passive Scalars in Discrete Fracture Networks, In: Numerical Mathematics and Advanced Applications ENUMATH 2017, pp. 501-508, ISBN: 978-3-319-96414-0
Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Maria Baralis (2019 ) Towards a real-time unsupervised estimation of predictive model degradation, In: Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2019, Los Angeles, CA, USA, August 26, 2019, ISBN: 978-1-4503-7660-0
Antonio Attanasio, Marco Piscitelli, Silvia Chiusano, Alfonso Capozzoli, Tania Cerquitelli (2019 ) Towards an Automated, Fast and Interpretable Estimation Model of Heating Energy Demand: A Data-Driven Approach Exploiting Building Energy Certificates, In: ENERGIES, pp. 1273-1297, ISSN: 1996-1073
Evelina Di Corso, Stefano Proto, Tania Cerquitelli, Silvia Anna Chiusano (2019 ) Towards automated visualisation of scientic literature, In: New Trends in Databases and Information Systems, {ADBIS} 2019 Short Papers, Workshops BBIGAP, QAUCA, SemBDM, SIMPDA, M2P, MADEISD, and Doctoral Consortium, Bled, Slovenia, September 8-11, 2019, Proceedings, pp. 28-36, ISBN: 978-3-030-30277-1
Martino Trevisan, Luca Vassio, Idilio Drago, Marco Mellia, Fabricio Murai, Flavio Figueiredo, Ana Paula Couto Da Silva, Jussara M. Almeida (2019 ) Towards Understanding Political Interactions on Instagram, In: Proceedings of the 30th ACM Conference on Hypertext and Social Media, pp. 247-251, ISBN: 9781450368858
Matteo Nisi, Daniela Renga, Daniele Apiletti, Danilo Giordano, Tao Huang, Yang Zhang, Marco Mellia, Elena Maria Baralis (2019 ) Transparently mining data from a medium-voltage distribution network: a prognostic-diagnostic analysis, In: 2019 Workshops of the EDBT/ICDT Joint Conference
C. Pronello (2019 ) Transports soutenables et mobilités urbaines : les défis du transport en commun, In: Ecocity, Knowledge city, Smart city: vers une ville écosoutenable ?, pp. 103-115, ISBN: 978-2-7574-2460-5
Thomas Desvignes, Phillipe Loher, Karen Eilbeck, Jeffery Ma, Gianvito Urgese, Bastian Fromm, Jason Sydes, Ernesto Aparicio-puerta, Victor Barrera, Roderic Espin, Eric Londin, Aristeidis G Telonis, Elisa Ficarra, Marc R Friedlander, John H Postlethwait, Isidore Rigoutsos, Michael Hackenberg, Ioannis S Vlachos, Marc K. Halushka, Lorena Pantano (2019 ) Unification of miRNA and isomiR research: the mirGFF3 format and the mirtop API, In: BIOINFORMATICS, pp. 698-703, ISSN: 1367-4811
Alessandro Farasin, Giovanni Nini, Paolo Garza, Claudio Rossi (2019 ) Unsupervised Burned Area Estimation through Satellite Tiles: A multimodal approach by means of image segmentation over remote sensing imagery, In: CEUR Workshop Proceedings, pp. 1-10
C. Pronello (2019 ) Validation of a unidimensional and probabilistic measurement scale for proenvironmental behaviour by travellers, In: TRANSPORTATION, ISSN: 0049-4488
T. Cerquitelli, E. Di Corso, S. Proto, A. Capozzoli, D. Mazzarelli, A. Nasso, E. Baralis, M. Mellia, S. Casagrande, M. Tamburini (2019 ) Visualising high-resolution energy maps through the exploratory analysis of energy performance certificates, In: SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies, pp. 1-6, ISBN: 978-1-7281-1156-8
L. Vassio, Z. -l. Zhang, S. -j. Lee (2019 ) Workshop WAIN: Welcome message, In: PERFORMANCE EVALUATION REVIEW, pp. V, ISSN: 0163-5999

2018 publications

S. Grivet-talocia (2018 ) 20 Years of Passive Macromodeling State of the Art and Outlook
Carla Sciarra, Guido Chiarotti, Francesco Laio, Luca Ridolfi (2018 ) A change of perspective in network centrality, In: SCIENTIFIC REPORTS, ISSN: 2045-2322
Elena Baralis, Paolo Garza, Eliana Pastor (2018 ) A Density-based Preprocessing Technique to Scale Out Clustering, In: Proceedings of the 2018 IEEE International Conference on Big Data (Big Data), pp. 2078-2087, ISBN: 978-1-5386-5035-6
C. Siviero, I. S. Stievano, S. Grivet-talocia, G. Signorini, M. Telescu (2018 ) A Fast Channel Simulation Framework Based on Hierarchical Waveform Representations, In: 2018 IEEE 27th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), pp. 141-143, ISBN: 978-1-5386-9303-2...
M. De Stefano, S. Grivet-talocia, T. Bradde, A. Zanco (2018 ) A Framework for the Generation of Guaranteed Stable Small-Signal Bias-Dependent Behavioral Models, In: 2018 13th European Microwave Integrated Circuits Conference (EuMIC), pp. 142-145, ISBN: 978-2-87487-052-1
Evelina Forno, Andrea Acquaviva, Kobayashi Yuki, Enrico Macii, Gianvito Urgese (2018 ) A Parallel Hardware Architecture For Quantum Annealing Algorithm Acceleration, In: Proceedings of IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2018), ISBN: 978-1-5386-4756-1
T. Bradde, S. Grivet-talocia, M. De Stefano, A. Zanco (2018 ) A Scalable Reduced-Order Modeling Algorithm for the Construction of Parameterized Interconnect Macromodels from Scattering Responses, In: 2018 IEEE Symposium on Electromagnetic Compatibility, Signal Integrity and Power Integrity (EMC, SI & PI), pp. 650-655, ISBN: 978-1-5386-6621-0
Susanna Grasso, Andrea Libertino, Pierluigi Claps (2018 ) A Web-GIS Tool for Rainstorm Hazard Management Over Large Areas, In: HIC 2018. 13th International Conference on Hydroinformatics, pp. 844-835
Azadeh Faroughi, Reza Javidan, Marco Mellia, Andrea Morichetta, Francesca Soro, Martino Trevisan (2018 ) Achieving Horizontal Scalability in Density-based Clustering for URLs, In: Proceedings of the 2018 IEEE International Conference on Big Data, pp. 3841-3846, ISBN: 978-1-5386-5035-6
Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti (2018 ) Adaptive Matrix Design for Boosting Compressed Sensing, In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS, pp. 1016-1027, ISSN: 1549-8328
L. Cagliero, P. Garza, Andrea Pasini, E. Baralis (2018 ) Additional reviewer assignment by means of weighted association rules, In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, ISSN: 2168-6750
Mauro Mangia, Alex Marchioni, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti (2018 ) Administering quality-energy trade-off in IoT sensing applications by means of adapted compressed sensing, In: IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, pp. 895-907, ISSN: 2156-3357
Alessandro Mantelero (2018 ) AI and Big Data: a blueprint for a human rights, social and ethical impact assessment, In: COMPUTER LAW & SECURITY REPORT, pp. 754-772, ISSN: 0267-3649
Enrico Palumbo, Giuseppe Rizzo, Raphael Troncy, Elena Maria Baralis, Michele Osella, Enrico Giovanni Ferro (2018 ) An empirical comparison of knowledge graph embeddings for item recommendation, In: Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies 2018
Riccardo Cantoro, Luigi San Paolo, Matteo Sonza Reorda, Giovanni Squillero (2018 ) An evolutionary technique for reducing the duration of reconfigurable scan network test, In: Proceedings - 21st IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems, DDECS 2018, pp. 129-134, ISBN: 9781538657546
Luca Grassano, Guido Pagana, Marco Daperno, Enrico Bibbona, Mauro Gasparini (2018 ) Asymptotic distributions of kappa statistics and their differences with many raters, many rating categories and two conditions, In: BIOMETRICAL JOURNAL, pp. 146-154, ISSN: 0323-3847
P. García-sánchez, Alberto Tonda, Antonio M. Mora, Giovanni Squillero, Juan J. Merelo (2018 ) Automated Playtesting in Collectible Card Games using Evolutionary Algorithms: a Case Study in HearthStone, In: KNOWLEDGE-BASED SYSTEMS, ISSN: 0950-7051
Martino Trevisan, Idilio Drago, Marco Mellia, Han Hee Song, Mario Baldi (2018 ) AWESoME: Big Data for Automatic Web Service Management in SDN, In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 13-26, ISSN: 1932-4537
Stefano Grivet Talocia, Riccardo Trinchero (2018 ) Behavioral, Parameterized, and Broadband Modeling of Wired Interconnects with Internal Discontinuities, In: IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, pp. 77-85, ISSN: 0018-9375
Idilio Drago, Marco Mellia, Alessandro D’alconzo (2018 ) Big Data in Computer Network Monitoring, In: Encyclopedia of Big Data Technologies, pp. 1-8, ISBN: 978-3-319-63962-8...
Stefano Grivet-talocia (2018 ) Bivariate macromodeling with guaranteed uniform stability and passivity, In: Electrical Performance of Electronic Packaging and Systems (EPEPS), 2017 IEEE 26th Conference on, pp. 1-3, ISBN: 978-1-5386-3631-2
Sanda Lefteriu, Stefano Grivet-talocia (2018 ) Broadband modeling of passive components via augmented equivalent circuit models, In: 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), pp. 1-4, ISBN: 978-1-5386-5204-6
Daraio Elena, Evelina Di Corso, Tania Cerquitelli, Silvia Anna Chiusano (2018 ) Characterizing Air-Quality Data Through Unsupervised Analytics Methods, In: New Trends in Databases and Information Systems - ADBIS 2018 ShortPapers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND,DC, Budapest, Hungary, September, 2-5, 2018, Proceedings, pp. 205-217, ISBN: 978-3-030-00062-2
Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero, Elena Baralis (2018 ) Characterizing situations of dock overload in bicycle sharing stations, In: APPLIED SCIENCES, pp. 2521, ISSN: 2076-3417
Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Antonio Attanasio (2018 ) Characterizing unpredictable patterns in Wireless Sensor Network data, In: INFORMATION SCIENCES, pp. 149-162, ISSN: 0020-0255
Alessandro Mantelero (2018 ) Ciudadanía y gobernanza digital entre política, ética y derecho, In: Sociedad Digital y Derecho, pp. 153-171, ISBN: 978-84-340-2483-0
Jesus Gonzalez-feliu, Cristina Pronello, Josep Maria Salanova Grau, Paulius Skačkauskas (2018 ) COLLABORATION AND URBAN TRANSPORT: A SHORT REVIEW OF THE SPECIAL ISSUE, In: TRANSPORT, pp. 861-866, ISSN: 1648-4142
Muhammad Ali, Michela Meo, Daniela Renga (2018 ) Cost saving and ancillary service provisioning in green Mobile Networks, In: The Internet of Things for Smart Urban Ecosystems (IoT4SUE), ISBN: 9783319965499
Andrea Atzeni, Fernando Díaz, Andrea Marcelli, Antonio Sánchez, Giovanni Squillero, Alberto Tonda (2018 ) Countering Android Malware: a Scalable Semi-Supervised Approach for Family-Signature Generation, In: IEEE ACCESS, pp. 59540-59556, ISSN: 2169-3536
Luca Vassio (2018 ) Data Analysis and Modelling of Users’ Behaviour on the Web
Michele Cocca, Danilo Giordano, Marco Mellia, Luca Vassio (2018 ) Data Driven Optimization of Charging Station Placement for EV Free Floating Car Sharing, In: 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 2490-2495, ISBN: 978-1-7281-0321-1...
Elena Maria Baralis, Tania Cerquitelli, Silvia Anna Chiusano, R. Meo (2018 ) Data Mining in Databases: Languages and Indices, In: A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, pp. 341-351, ISBN: 978-3-319-61892-0
Tommaso Bradde, Stefano Grivet-talocia, Marco De Stefano, Alessandro Zanco (2018 ) Data-driven parameterized modeling of LTI systems with guaranteed stability
Laura Lopez-fuentes, Alessandro Farasin, Harald Skinnemoen, Paolo Garza (2018 ) Deep Learning Models for Passability Detection of Flooded Roads, In: Multimedia Benchmark Workshop 2018
Eliana Pastor (2018 ) Deriving Local Internal Logic for Black Box Models, In: Proceedings of the 26th Italian Symposium on Advanced Database Systems,Castellaneta Marina (Taranto), Italy, June 24-27, 2018., pp. 1-4
Giulia Santoro, Mario R. Casu, Valentino Peluso, Andrea Calimera, Massimo Alioto (2018 ) Design-Space Exploration of Pareto-Optimal Architectures for Deep Learning with DVFS, In: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, ISBN: 978-1-5386-4881-0
Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis (2018 ) Discovering cross-topic collaborations among researchers by exploiting weighted association rules, In: SCIENTOMETRICS, pp. 1273-1301, ISSN: 0138-9130
Cristina Pronello, Valentina Rappazzo, Jean-baptiste Gaborieau, Martino Veronica, Alberto Forchino (2018 ) Effects of the mandatory validation on bus commercial speed: case study in Torino (Italy), In: Proceedings of 7th Transport Research Arena TRA 2018
Daniela Renga, Hussein Al Haj Hassan, Michela Meo, Loutfi Nuaymi (2018 ) Energy management and Base Station on/off switching in green mobile networks for offering Ancillary Services, In: IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, pp. 868-880, ISSN: 2473-2400
Giulia Santoro, Mario R. Casu, Valentino Peluso, Andrea Calimera, Massimo Alioto (2018 ) Energy-performance design exploration of a low-power microprogrammed deep-learning accelerator, In: 2018 Design, Automation Test in Europe Conference Exhibition (DATE), pp. 1151-1154, ISBN: 978-3-9819263-0-9
Cristina Pronello, Jean-baptiste Gaborieau (2018 ) Engaging in pro-environment travel behaviour research from a psycho-social perspective: A review of behavioural variables and theories, In: SUSTAINABILITY, pp. 2412-2433, ISSN: 2071-1050
Doina Bucur, Giovanni Iacca, Andrea Marcelli, Giovanni Squillero, Alberto Tonda (2018 ) Evaluating surrogate models for multi-objective influence maximization in social networks, In: GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion, pp. 1258-1265, ISBN: 9781450357647
Karol Calo', M. Owais Khan, Diego Gallo, Stefania Scarsoglio, David A. Steinman, Luca Ridolfi, Umberto Morbiducci (2018 ) Exploring flow disturbances at the carotid bifurcation through an integrated computational hemodynamics & complex networks-based approach
Mohamed Toure, Stefano Grivet-talocia, Flavio G. Canavero, Florent Robert, Francoise Paladian, Mohamed Bensetti, Laurent Dufour (2018 ) Fast and Accurate Modeling Methodology Using Passive Macromodeling Techniques, In: 2018 International Symposium on Electromagnetic Compatibility (EMC EUROPE), pp. 539-544, ISBN: 978-1-4673-9698-1
Martino Trevisan, Danilo Giordano, Idilio Drago, Marco Mellia, Maurizio Munafo (2018 ) Five Years at the Edge: Watching Internet from the ISP Network, In: Proceedings of the 14th International Conference on Emerging Networking EXperiments and Technologies (CoNEXT 2018), pp. 1-12, ISBN: 9781450360807
Muhammad Uzair Qamar, Daniele Ganora, Pierluigi Claps, Muhammad Azmat, Muhammad Adnan Shahid, Rao Arsalan Khushnood (2018 ) Flow duration curve regionalization with enhanced selection of donor basins, In: JOURNAL OF APPLIED WATER ENGINEERING AND RESEARCH, pp. 1-15, ISSN: 2324-9676
Michele Cocca, Danilo Giordano, Marco Mellia, Luca Vassio (2018 ) Free Floating Electric Car Sharing in Smart Cities: Data Driven System Dimensioning, In: 2018 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 171-178, ISBN: 978-1-5386-4705-9
Daniela Renga (2018 ) Green Mobile Networks: from self-sustainability to enhanced interaction with the Smart Grid
Daniela Renga (2018 ) Greener and cheaper mobile communication: let the sunshine in, In: Proceedings of IEEE Wireless Communications and Networking Conference 15-18 April 2018, Barcelona, Spain
Pinky Kumawat (2018 ) High Prediction Accuracy and Low Error for ERP User Satisfaction by Hybrid of ANFIS and KNN Classification, In: INTERNATIONAL JOURNAL ON EMERGING TRENDS IN TECHNOLOGY, pp. 11005-11009, ISSN: 2455-0124
Elena Maria Baralis, Luca Cagliero (2018 ) Highlighter: automatic highlighting of electronic learning documents, In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, pp. 7-19, ISSN: 2168-6750
Marco Aldinucci, Sergio Rabellino, Marco Pironti, Filippo Spiga, Paolo Viviani, Maurizio Drocco, Marco Guerzoni, Guido Boella, Marco Mellia, Paolo Margara, Idilio Drago, Roberto Marturano, Guido Marchetto, Elio Piccolo, Stefano Bagnasco, Stefano Lusso, Sara Vallero, Giuseppe Attardi, Alex Barchiesi, Alberto Colla, Fulvio Galeazzi (2018 ) HPC4AI, an AI-on-demand federated platform endeavour, In: 2018 ACM International Conference on Computing Frontiers, CF 2018 - Proceedings, pp. 279-286, ISBN: 9781450357616
Doina Bucur, Giovanni Iacca, Andrea Marcelli, Giovanni Squillero, Alberto Tonda (2018 ) Improving Multi-objective Evolutionary Influence Maximization in Social Networks, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 117-124, ISBN: 9783319775371
Daniele Apiletti, Claudia Barberis, Tania Cerquitelli, Alberto Macii, Enrico Macii, Massimo Poncino, Francesco Ventura (2018 ) iSTEP, an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0, In: IEEE International Conference on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications, ISPA/IUCC/BDCloud/SocialCom/..., pp. 924-931, ISBN: 978-1-7281-1141-4
Enrico Palumbo, Giuseppe Rizzo, Raphael Troncy, Elena Maria Baralis, Michele Osella, Enrico Giovanni Ferro (2018 ) Knowledge Graph Embeddings with node2vec for Item Recommendation, In: The Semantic Web: ESWC 2018 Satellite Events, pp. 117-120, ISBN: 978-3-319-98192-5
Andrea Morichetta, Marco Mellia (2018 ) LENTA: Longitudinal Exploration for Network Traffic Analysis, In: 30th International Teletraffic Congress (ITC 30), pp. 176-184, ISBN: 978-0-9883045-5-0
Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti (2018 ) Low-Cost Security of IoT Sensor Nodes with Rakeness-Based Compressed Sensing: Statistical and Known-Plaintext Attacks, In: IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, pp. 327-340, ISSN: 1556-6013
Martino Trevisan, Idilio Drago, Marco Mellia (2018 ) Measuring Web Speed From Passive Traces
Evelina Di Corso, Tania Cerquitelli, Daniele Apiletti (2018 ) METATECH: METeorological Data Analysis for Thermal Energy CHaracterization by Means of Self-Learning Transparent Models, In: ENERGIES, pp. 1336, ISSN: 1996-1073
Flavio Giobergia, Elena Baralis, Maria Camuglia, Alessandra Neri, Davide Tricarico, Alessia Tuninetti (2018 ) Method and System for Predicting System Status
Flavio Giobergia, Elena Baralis, Maria Camuglia, Tania Cerquitelli, Marco Mellia, Alessandra Neri, Davide Tricarico, Alessia Tuninetti (2018 ) Mining Sensor Data for Predictive Maintenance in the Automotive Industry, In: IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA) 2018, pp. 351-360, ISBN: 978-1-5386-5090-5
Signorini Gianni, Stefano Grivet Talocia (2018 ) Modeling and Simulation for Signal and Power Integrity in Mobile Platforms
Jesus Gonzalez-feliu, Cristina Pronello, Josep Maria Salanova Grau (2018 ) MULTI-STAKEHOLDER COLLABORATION IN URBAN TRANSPORT: STATE-OF-THE-ART AND RESEARCH OPPORTUNITIES, In: TRANSPORT, pp. 1079-1094, ISSN: 1648-4142
A. Zanco, S. Grivet-talocia, Tommaso Bradde, M. De Stefano (2018 ) Multivariate macromodeling with stability and passivity constraints, In: 2018 IEEE 22nd Workshop on Signal and Power Integrity, SPI 2018 - Proceedings, pp. 1-4, ISBN: 9781538622995
C. Pronello, J. B. Gaborieau (2018 ) My-Moby: a customer oriented tool to support integrated transport and resilient communities
Mario Iannaccone, Gaëlle Saint-hilary, Davide Menardi, Paolo Vadalà, Alessandro Bernardi, Matteo Bianco, Antonio Montefusco, Pierluigi Omedè, Salvatore D'amico, Fabio Piazza, Paolo Scacciatella, Maurizio D'amico, Claudio Moretti, Giuseppe Biondi-zoccai, Mauro Gasparini, Fiorenzo Gaita, Fabrizio D'ascenzo (2018 ) Network meta-analysis of studies comparing closure devices for femoral access after percutaneous coronary intervention, In: JOURNAL OF CARDIOVASCULAR MEDICINE, pp. 1, ISSN: 1558-2027
T. Bradde, S. Grivet-talocia, M. De Stefano, A. Zanco (2018 ) On Automated Generation of Behavioral Parameterized Macromodels. Part I: Algorithmic aspects
M. De Stefano, S. Grivet-talocia, T. Bradde, A. Zanco (2018 ) On Automated Generation of Behavioral Parameterized Macromodels. Part II: SPICE Equivalents and Applications
Matteo Testa, Tiziano Bianchi, Enrico Magli (2018 ) On the secrecy of compressive cryptosystems under finite-precision representation of sensing matrices, In: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-4, ISBN: 978-1-5386-4881-0
Leo Yu Zhang, Yuansheng Liu, Fabio Pareschi, Yushu Zhang, Kwok-wo Wong, Riccardo Rovatti, Gianluca Setti (2018 ) On the security of a class of diffusion mechanisms for image encryption, In: IEEE TRANSACTIONS ON CYBERNETICS, pp. 1163-1175, ISSN: 2168-2267
Gianvito Urgese, Francesco Barchi, Enrico Macii, Andrea Acquaviva (2018 ) Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms, In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, pp. 317-329, ISSN: 2168-6750
Stefano Berrone, Stefano Scialo', Fabio Vicini (2018 ) Parallel meshing, discretization and computation of flow in massive Discrete Fracure Networks
Alessandro Farasin, Paolo Garza (2018 ) PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences, In: ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management, pp. 1081-1088, ISBN: 978-0-692-12760-5
Mauro Mangia, Letizia Magenta, Alex Marchioni, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti (2018 ) Projected-gradient-descent in rakeness-based compressed sensing with disturbance rejection, In: 2018 New Generation of CAS, NGCAS 2018, pp. 78-81, ISBN: 9781538676813
Giovanni Squillero, Alberto Tonda (2018 ) Promoting diversity in evolutionary optimization: Why and how
Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti (2018 ) Rakeness-based compressed sensing and hub spreading to administer short/long-range communication tradeoff in IoT Settings, In: IEEE INTERNET OF THINGS JOURNAL, pp. 2220-2233, ISSN: 2327-4662
Mauro Mangia, Fabio Pareschi, Rohan Varma, Riccardo Rovatti, Jelena Kovacevic, Gianluca Setti (2018 ) Rakeness-Based Compressed Sensing of Multiple-graph Signals for IoT Applications, In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS, pp. 682-686, ISSN: 1549-7747
D. Lagana, C. Mastroianni, M. Meo, D. Renga (2018 ) Reducing the operational cost of cloud data centers through renewable energy, In: ALGORITHMS, pp. 145, ISSN: 1999-4893
Andrea Libertino, Paola Allamano, Francesco Laio, Pierluigi Claps (2018 ) Regional-scale analysis of extreme precipitation from short and fragmented records, In: ADVANCES IN WATER RESOURCES, pp. 147-159, ISSN: 0309-1708
Marco Ajmone Marsan, Ana Paula Couto Da Silva, Michela Meo, Daniela Renga (2018 ) Sharing renewable energy in a network sharing context, In: Proceedings of IEEE Wireless Communications and Networking Conference 15-18 April 2018, Barcelona, Spain, pp. 1-6, ISBN: 978-1-5386-1734-2
Tiziano Distefano, Francesco Laio, Luca Ridolfi, Stefano Schiavo (2018 ) Shock transmission in the international food trade network, In: PLOS ONE, pp. e0200639, ISSN: 1932-6203
Cristina Pronello, Davide Longhi, Jean-baptiste Gaborieau (2018 ) Smart card data mining to analyse mobility patterns in suburban areas, In: SUSTAINABILITY, pp. 1-21, ISSN: 2071-1050
M. Sechilariu, F. Locment, H. Martell-flores, N. Molines, J. Baert, G. Richard, C. Henriot, C. Pronello (2018 ) Smart Microgrid and Urban Planning for Better Electromobility, In: 2017 IEEE Vehicle Power and Propulsion Conference, VPPC 2017 - Proceedings, pp. 1-6, ISBN: 978-1-5386-1317-7
M. Sechilariu, F. Locment, H. Martell-flores, N. Molines, J. Baert, G. Richard, C. Henriot, C. Pronello (2018 ) Smart Microgrid and Urban Planning for Better Electromobility, In: 2017 IEEE Vehicle Power and Propulsion Conference, VPPC 2017 - Proceedings, pp. 1-6, ISBN: 9781538613177
Irene Franco, Anna Johansson, Karl Olsson, Peter Vrtačnik, Pär Lundin, Hafdis T. Helgadottir, Malin Larsson, Gwladys Revêchon, Carla Bosia, Andrea Pagnani, Paolo Provero, Thomas Gustafsson, Helene Fischer, Maria Eriksson (2018 ) Somatic mutagenesis in satellite cells associates with human skeletal muscle aging, In: NATURE COMMUNICATIONS, pp. 800, ISSN: 2041-1723
G. Iacobello, S. Scarsoglio, J. G. M. Kuerten, L. Ridolfi (2018 ) Spatial characterization of turbulent channel flow via complex networks, In: PHYSICAL REVIEW. E, ISSN: 2470-0045
Giovanni Iacobello, Stefania Scarsoglio, J. G. M. Kuerten, Luca Ridolfi (2018 ) Spatial investigation of wall turbulence via complex networks, In: Book of Abstracts - The 12th European Fluid Mechanics Conference, pp. 731-731, ISBN: 978-3-200-05859-0
Luca Cagliero, Paolo Garza (2018 ) Study of the applicability of an itemset-based portfolio planner in a multi-market context, In: CEUR Workshop Proceedings, pp. 50-55
Andrea Libertino, Daniele Ganora, Pierluigi Claps (2018 ) Technical note: Space-time analysis of rainfall extremes in Italy: clues from a reconciled dataset, In: HYDROLOGY AND EARTH SYSTEM SCIENCES DISCUSSIONS, pp. 1-11, ISSN: 1812-2116
Andrea Libertino, Daniele Ganora, Pierluigi Claps (2018 ) Technical note: Space–time analysis of rainfall extremes in Italy: clues from a reconciled dataset, In: HYDROLOGY AND EARTH SYSTEM SCIENCES, pp. 2705-2715, ISSN: 1607-7938
Giovanni Iacobello, Stefania Scarsoglio, J. G. M. Kuerten, Luca Ridolfi (2018 ) Temporal network-based analysis of turbulent mixing, In: Book of Abstracts - The 7th International Conference on Complex Networks and Their Applications, pp. 396-399, ISBN: 978-2-9557050-2-5
Sanda Lefteriu, Stefano Grivet-talocia (2018 ) Topological Fitting: broadband modeling of passive components via augmented equivalent circuit models, In: 9th Vienna International Conference on Mathematical Modelling, pp. 451-456
Enrico Palumbo, Giuseppe Rizzo, Raphael Troncy, Elena Maria Baralis, Michele Osella, Enrico Ferro (2018 ) Translational Models for Item Recommendation, In: ESWC 2018: The Semantic Web: ESWC 2018 Satellite Event, pp. 478-490
Stefano Berrone, Claudio Canuto, Sandra Pieraccini, Stefano Scialo' (2018 ) Uncertainty quantification in Discrete Fracture Network models: stochastic geometry, In: WATER RESOURCES RESEARCH, pp. 1338-1352, ISSN: 1944-7973
Pinky Kumawat (2018 ) User Satisfaction Prediction in ERP using KNN Classifier for high Prediction Accuracy, In: INTERNATIONAL JOURNAL ON EMERGING TRENDS IN TECHNOLOGY, pp. 1-5, ISSN: 2455-0124
C. Pronello, D. Longhi (2018 ) Using the validation data of smart cards to better design public transport networks, In: Proceedings of 7th Transport Research Arena TRA 2018
Peter Karpov, Giovanni Squillero, Alberto Tonda (2018 ) VALIS: an evolutionary classification algorithm, In: GENETIC PROGRAMMING AND EVOLVABLE MACHINES, pp. 1-19, ISSN: 1389-2576
Giovanni Iacobello, Stefania Scarsoglio, Luca Ridolfi (2018 ) Visibility graph analysis of wall turbulence time-series, In: PHYSICS LETTERS A, pp. 1-11, ISSN: 0375-9601
Robin Purshouse, Christine Zarges, Sylvain Cussat-blanc, Michael G. Epitropakis, Marcus Gallagher, Thomas Jansen, Pascal Kerschke, Xiaodong Li, Fernando G. Lobo, Julian Miller, Pietro S. Oliveto, Mike Preuss, Giovanni Squillero, Alberto Tonda, Markus Wagner, Thomas Weise, Dennis Wilson, Borys Wróbel, Aleš Zamuda (2018 ) Workshops at PPSN 2018, In: PPSN 2018: Parallel Problem Solving from Nature – PPSN XV, pp. 490-497, ISBN: 978-3-319-99258-7...
Luca Vassio, Idilio Drago, Marco Mellia, Zied Ben Houidi, Mohamed Lamine Lamali (2018 ) You, the Web, and Your Device: Longitudinal Characterization of Browsing Habits, In: ACM TRANSACTIONS ON THE WEB, pp. 1-30, ISSN: 1559-1131

2017 publications

Giovanni Squillero, Alberto Tonda (2017 ) (Over-)Realism in evolutionary computation: Commentary on “On the Mapping of Genotype to Phenotype in Evolutionary Algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin, In: GENETIC PROGRAMMING AND EVOLVABLE MACHINES, pp. 1-3, ISSN: 1389-2576
Marco Bettoni, Gianvito Urgese, Yuki Kobayashi, Enrico Macii, Andrea Acquaviva (2017 ) A Convolutional Neural Network Fully Implemented on FPGA for Embedded Platforms, In: Proceedings of IEEE International Conference on New Generation of CAS (NGCAS 2017), pp. 49-52, ISBN: 978-1-5090-6447-2
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Pietro Michiardi (2017 ) A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data, In: BIG DATA RESEARCH, pp. 53-69, ISSN: 2214-5796
Stefano Grivet Talocia (2017 ) A Perturbation Scheme for Passivity Verification and Enforcement of Parameterized Macromodels, In: IEEE TRANSACTIONS ON COMPONENTS, PACKAGING, AND MANUFACTURING TECHNOLOGY, pp. 1869-1881, ISSN: 2156-3950
Mauro Mangia, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti (2017 ) Adapted Compressed Sensing for Effective Hardware Implementations
Edoardo Fadda, Guido Perboli, Giovanni Squillero (2017 ) Adaptive Batteries Exploiting On-Line Steady-State Evolution Strategy, In: Applications of Evolutionary Computation, pp. 329-341, ISBN: 978-3-319-55848-6...
Alfredo Braunstein, Anna Paola Muntoni, Andrea Pagnani (2017 ) An analytic approximation of the feasible space of metabolic networks, In: NATURE COMMUNICATIONS, pp. 14915, ISSN: 2041-1723
Eric Medvet, Alberto Bartoli, Giovanni Squillero (2017 ) An effective diversity promotion mechanism in grammatical evolution, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 247-248, ISBN: 9781450349390
Andrea Marcelli, Marco Restifo, Ernesto Sanchez, Giovanni Squillero (2017 ) An Evolutionary Approach to Hardware Encryption and Trojan-Horse Mitigation, In: Proceedings, ISBN: 978-1-5090-5826-6
C. Pronello, Davide Longhi (2017 ) ANALYSIS OF MOBILITY PATTERNS AND TRANSPORT SUPPLY THROUGH THE VALIDATION DATA OF SMART CARDS, In: Transport and Society, pp. 617-624, ISBN: 9789881581464
Giovanni Squillero, Kevin Sim (2017 ) Applications of Evolutionary Computation (Part I)
Giovanni Squillero, Kevin Sim (2017 ) Applications of Evolutionary Computation (Part II)
Martino Trevisan, Idilio Drago, Marco Mellia, Maurizio M. Munafo (2017 ) Automatic detection of DNS manipulations, In: 2017 IEEE International Conference on Big Data (Big Data), pp. 4010-4015, ISBN: 978-1-5386-2715-0
Mario Baldi, Han Hee Song, Antonio Nucci, Marco Mellia, Martino Trevisan, Idilio Drago (2017 ) Automatic rule generation for flow management in software defined networking networks
Stefano Traverso, Martino Trevisan, Laura Giannantoni, Marco Mellia, Hassan Metwalley (2017 ) Benchmark and comparison of tracker-blockers: Should you trust them?, In: IEEE/IFIP Network Traffic Measurement and Analysis Conference (TMA), pp. 1-9, ISBN: 978-3-901882-95-1
Araks Martirosyan, Andrea De Martino, Andrea Pagnani, Enzo Marinari (2017 ) CeRNA crosstalk stabilizes protein expression and affects the correlation pattern of interacting proteins, In: SCIENTIFIC REPORTS, pp. 43673, ISSN: 2045-2322
Gunter Bloschl, Julia Hall, Juraj Parajka, Rui A. P. Perdigão, Bruno Merz, Berit Arheimer, Giuseppe T. Aronica, Ardian Bilibashi, Ognjen Bonacci, Marco Borga, Ivan Äanjevac, Attilio Castellarin, Giovanni B. Chirico, Pierluigi Claps, Kã¡roly Fiala, Natalia Frolova, Liudmyla Gorbachova, Ali Gol, Jamie Hannaford, Shaun Harrigan, Maria Kireeva, Andrea Kiss, Thomas R. Kjeldsen, Silvia Kohnovã¡, Jarkko J. Koskela, Ondrej Ledvinka, Neil Macdonald, Maria Mavrova Guirguinova, Luis Mediero, Ralf Merz, Peter Molnar, Alberto Montanari, Conor Murphy, Marzena Osuch, Valeryia Ovcharuk, Ivan Radevski, Magdalena Rogger, Josã L. Salinas, Eric Sauquet, Å , Mojca Raj, Jan Szolgay, Alberto Viglione, Elena Volpi, Donna Wilson, Klodian Zaimi, Nenad Åivkoviä (2017 ) Changing climate shifts timing of European floods, In: SCIENCE, pp. 588-590, ISSN: 0036-8075
Giovanni Iacobello, Stefania Scarsoglio, Luca Ridolfi (2017 ) Characterization of turbulent channel flows: from time-series to complex networks, In: Book of Abstracts - 16th European Turbulence Conference, pp. 28776-28776
W. Chacholski, Martina Scolamiero, Francesco Vaccarino (2017 ) Combinatorial presentation of multidimensional persistent homology, In: JOURNAL OF PURE AND APPLIED ALGEBRA, ISSN: 0022-4049
Stefano Grivet Talocia, Elisa Fevola (2017 ) Compact Parameterized Black-Box Modeling via Fourier-Rational Approximations, In: IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, pp. 1133-1142, ISSN: 0018-9375
Jean-gabriel Young, Giovanni Petri, Francesco Vaccarino, Alice Patania (2017 ) Construction of and efficient sampling from the simplicial configuration model, In: PHYSICAL REVIEW. E, ISSN: 2470-0045
Mauro Gasparini (2017 ) Contribution to the discussion of a critical evaluation of the current 'p-value controversy', In: BIOMETRICAL JOURNAL, pp. 882-883, ISSN: 0323-3847
Tania Cerquitelli, Evelina Di Corso, Francesco Ventura, Silvia Anna Chiusano (2017 ) Data miners' little helper: data transformation activity cues for cluster analysis on document collections, In: Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, pp. 1-6, ISBN: 978-1-4503-5225-3
Luca Cagliero, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero (2017 ) Discovering High-Utility Itemsets at Multiple Abstraction Levels, In: Proceedings of the New Trends in Databases and Information Systems - ADBIS 2017 Short Papers and Workshops, AMSD, BigNovelTI, DAS, SW4CH, DC, Nicosia, Cyprus, September 24-27, 2017, Proceedings, pp. 224-234, ISBN: 978-3-319-67161-1...
Elena Maria Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti (2017 ) Discovering profitable stocks for intraday trading, In: INFORMATION SCIENCES, pp. 91-106, ISSN: 0020-0255
Luca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto, Elena Maria Baralis (2017 ) Educational video services in universities: a systematic effectiveness analysis, In: 2017 IEEE Frontiers in Education Conference (FIE), pp. 1-9, ISBN: 978-1-5090-5920-1
Matteo Testa, Tiziano Bianchi, Enrico Magli (2017 ) Energy obfuscation for compressive encryption and processing, In: 2017 IEEE Workshop on Information Forensics and Security (WIFS), pp. 1-6, ISBN: 978-1-5090-6769-5
Benoit Huet, E. Baralis, P. Garza, M. R. Kavoosifar (2017 ) Eurecom-Polito at TRECVID 2017: Hyperlinking task, In: 2017 TRECVID Workshop Proceedings
Elena Maria Baralis, Luca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto (2017 ) Experimental validation of a massive educational service in a blended learning environment, In: 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), pp. 381-390, ISBN: 978-1-5386-0367-3
Karol Calo', M. Owais Khan, Diego Gallo, Stefania Scarsoglio, David A. Steinman, Luca Ridolfi, Umberto Morbiducci (2017 ) Exploring intracranial aneurysm hemodynamics with a complex networks approach
Karol Calo', M. Owais Khan, Diego Gallo, Stefania Scarsoglio, David A. Steinman, Luca Ridolfi, Umberto Morbiducci (2017 ) Exploring intracranial aneurysm hemodynamics with a complex networks approach, In: Proceedings of the VII Meeting of the Italian Chapter of the European Society of Biomechanics (ESB-ITA 2017), ISBN: 9788862960007
Daniele Apiletti, Elena Maria Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Luca Venturini (2017 ) Frequent Itemsets Mining for Big Data: A Comparative Analysis, In: BIG DATA RESEARCH, pp. 67-83, ISSN: 2214-5796
Alessandro Mantelero (2017 ) From Group Privacy to Collective Privacy: Towards a New Dimension of Privacy and Data Protection in the Big Data Era, In: Group Privacy New Challenges of Data Technologies, pp. 139-158, ISBN: 978-3-319-46606-4
Stefania Scarsoglio, Fabio Cazzato, Luca Ridolfi (2017 ) From time-series to complex networks: Application to the cerebrovascular flow patterns in atrial fibrillation, In: CHAOS, pp. 093107, ISSN: 1054-1500
Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis (2017 ) Identifying collaborations among researchers: a pattern-based approach, In: Proceedings of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Informat..., pp. 56-68
Fabrizio D'ascenzo, Mario Iannaccone, Gaelle Saint-hilary, Maurizio Bertaina, Stefanie Schulz Schüpke, Cheol Wahn Lee, Alaide Chieffo, Gerard Helft, Sebastiano Gili, Umberto Barbero, Giuseppe Biondi Zoccai, Claudio Moretti, Fabrizio Ugo, Maurizio D’amico, Roberto Garbo, Gregg Stone, Sara Rettegno, Pierluigi Omedè, Federico Conrotto, Christian Templin, Antonio Colombo, Seung Jung Park, Adnan Kastrati, David Hildick Smith, Mauro Gasparini, Fiorenzo Gaita (2017 ) Impact of design of coronary stents and length of dual antiplatelet therapies on ischaemic and bleeding events: a network meta-analysis of 64 randomized controlled trials and 102 735 patients, In: EUROPEAN HEART JOURNAL, pp. 1-13, ISSN: 0195-668X
Daniela Renga, Haj Hassan Hussein Al, Michela Meo, Nuaymi Loutfi (2017 ) Improving the interaction of a green mobile network with the smart grid, In: Communications (ICC), 2017 IEEE International Conference on
Alessia Marruzzo, Payal Tyagi, Fabrizio Antenucci, Andrea Pagnani, Luca Leuzzi (2017 ) Inverse problem for multi-body interaction of nonlinear waves, In: SCIENTIFIC REPORTS, pp. 3463, ISSN: 2045-2322
Pinky Kumawat, Naresh K Kumawat (2017 ) Investigating End User Satisfaction in ERP Systems: An Analytical Approach, In: INTERNATIONAL JOURNAL ON EMERGING TRENDS IN TECHNOLOGY, pp. 1-5, ISSN: 2455-0124
Gianvito Urgese, Giulia Paciello, Enrico Macii, Andrea Acquaviva, Elisa Ficarra (2017 ) isomiR-SEA: miRNA and isomiR expression level detection in seven RNA-Seq datasets
Cristina Pronello, Cristian Camusso, Valentina Rappazzo (2017 ) Last mile freight distribution and transport operators’ needs: which targets and challenges?, In: TRANSPORTATION RESEARCH PROCEDIA, pp. 888-899, ISSN: 2352-1465
Alessandro Mantelero, Giuseppe Vaciago (2017 ) Legal aspects of information science, data science, and Big Data, In: Frontiers in Data Science, pp. 1-46, ISBN: 9781498799324
Luca Vassio, Marco Mellia, Flavio Figueiredo, Ana Paula Couto Da Silva, Jussara M. Almeida (2017 ) Mining and modeling web trajectories from passive traces, In: 2017 IEEE International Conference on Big Data (BIGDATA), pp. 4016-4021, ISBN: 978-1-5386-2715-0
Doina Bucur, Giovanni Iacca, Andrea Marcelli, Giovanni Squillero, Alberto Tonda (2017 ) Multi-objective Evolutionary Algorithms for Influence Maximization in Social Networks, In: Applications of Evolutionary Computation, pp. 221-233, ISBN: 978-3-319-55848-6...
Pedro Casas, Francesca Soro, Juan Vanerio, Giuseppe Settanni, Alessandro D'alconzo (2017 ) Network security and anomaly detection with Big-DAMA, a big data analytics framework, In: Proceedings of the 2017 IEEE 6th International Conference on Cloud Networking, CloudNet 2017, pp. 1-7, ISBN: 9781509040261
Alessandro De Gregorio (2017 ) On the set of optimal homeomorphisms for the natural pseudo-distance associated with the Lie group S1, In: TOPOLOGY AND ITS APPLICATIONS, pp. 187-195, ISSN: 0166-8641
A. Patania, G. Petri, F. Vaccarino (2017 ) P-persistent homology of finite topological spaces, In: RENDICONTI DEL SEMINARIO MATEMATICO, pp. 27-45, ISSN: 0373-1243
Martino Trevisan, Idilio Drago, Marco Mellia (2017 ) PAIN: A Passive Web Speed Indicator for ISPs, In: Proceedings of the 2017 workshop on QoE-based Analysis and Management of Data Communication Networks
Stefano Grivet Talocia (2017 ) Parameterized macromodels for EMC/EMI simulation of electrical interconnects, In: Electromagnetics in Advanced Applications (ICEAA), 2017 International Conference on, pp. 1847-1849, ISBN: 978-1-5090-4451-1...
Elena Baralis, Luca Cagliero, Paolo Garza (2017 ) Planning stock portfolios by means of weighted frequent itemsets, In: EXPERT SYSTEMS WITH APPLICATIONS, pp. 1-17, ISSN: 0957-4174
Luca Cagliero, Silvia Anna Chiusano, Tania Cerquitelli, Paolo Garza, Xin Xiao (2017 ) Predicting critical conditions in bicycle sharing systems, In: COMPUTING, pp. 39-57, ISSN: 0010-485X
Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Maria Baralis (2017 ) Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks, In: CEUR WORKSHOP PROCEEDINGS
Ali Safari Khatouni, Martino Trevisan, Leonardo Regano, Alessio Viticchie (2017 ) Privacy issues of ISPs in the modern web, In: Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2017 8th IEEE Annual, pp. 588-594, ISBN: 978-1-5386-3371-7...
T. Cerquitelli, E. Di Corso, F. Ventura, S. Chiusano (2017 ) Prompting the data transformation activities for cluster analysis on collections of documents, In: Proceedings of the 25th Italian Symposium on Advanced Database Systems, Squillace Lido (Catanzaro), Italy, June 25-29, 2017, pp. 1-8
Giuseppe Siracusano, Roberto Bifulco, Martino Trevisan, Tobias Jacobs, Simon Kuenzer, Stefano Salsano, Nicola Blefari-melazzi, Felipe Huici (2017 ) Re-designing Dynamic Content Delivery in the Light of a Virtualized Infrastructure, In: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, pp. 0-0, ISSN: 0733-8716
Alessandro Mantelero (2017 ) Regulating Big Data. The guidelines of the Council of Europe in the context of the European data protection framework, In: COMPUTER LAW & SECURITY REPORT, pp. 584-602, ISSN: 0267-3649
Carla Bosia, Francesco Sgrò, Laura Conti, Carlo Baldassi, Federica Cavallo, Ferdinando Di Cunto, Emilia Turco, Andrea Pagnani, Riccardo Zecchina (2017 ) RNAs competing for microRNAs mutually influence their fluctuations in a highly non-linear microRNA-dependent manner in single cells, In: GENOME BIOLOGY, pp. 17-30, ISSN: 1474-760X
Luca Venturini, Elena Baralis, Paolo Garza (2017 ) Scaling associative classification for very large datasets, In: JOURNAL OF BIG DATA, pp. 1-24, ISSN: 2196-1115
Valentina Gatteschi, Claudio Giovanni Demartini, Fabrizio Lamberti (2017 ) Semantics: Learning, In: Encyclopedia of Computer Science & Technology, pp. 692-702, ISBN: 9781482208191
Wolfgang John, Guido Marchetto, Felician Nemeth, Pontus Sköldström, Rebecca Steinert, Catalin Meirosu, Ioanna Papafili, Kostas Pentikousis (2017 ) Service Provider DevOps, In: IEEE COMMUNICATIONS MAGAZINE, pp. 204-211, ISSN: 0163-6804
Giovanni Iacobello, Stefania Scarsoglio, Hans Kuerten, Luca Ridolfi (2017 ) Spatial network investigation of wall turbulence, In: Book of Abstracts - The 6th International Conference on Complex Networks and Their Applications, pp. 300-302, ISBN: 978-2-9557050-2-5
Elena Maria Baralis, Andrea Dalla Valle, Paolo Garza, Claudio Rossi, Francesco Scullino (2017 ) SQL versus NoSQL Databases for Geospatial Applications, In: Proceedings of the 2nd IEEE International Workshop on Big Spatial Data in conjunction with 2017 IEEE International Conference on Big Data, pp. 3388-3397
Luca Cagliero (2017 ) Summarization of emergency news articles driven by relevance feedback, In: Titolo volume non avvalorato, pp. 3713-3721, ISBN: 978-1-5386-2715-0
Fabrizio Lamberti, Gianluca Paravati, Valentina Gatteschi, Alberto Cannavo' (2017 ) Supporting Web analytics by aggregating user interaction data from heterogeneous devices using viewport-DOM based heat maps, In: IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, pp. 1989-1999, ISSN: 1551-3203
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Alessandro Ciociola, Michele Cocca, Danilo Giordano, Marco Mellia, Andrea Morichetta, Andrian Putina, Flavia Salutari (2017 ) UMAP: Urban Mobility Analysis Platform to Harvest Car Sharing Data, In: Proceedings of the IEEE Conference on Smart City Innovations, ISBN: 978-1-5386-0435-9
Danilo Giordano, Stefano Traverso, Marco Mellia, Luigi Grimaudo, Elena Baralis, Alok Tongaonkar, Sabyasachi Saha, Antonio Nucci (2017 ) Unsupervised methodology to unveil content delivery network structures
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Cristina Pronello, Cristian Camusso (2017 ) Users’ needs and business models for a sustainable mobility information network in the Alpine Space, In: TRANSPORTATION RESEARCH PROCEDIA, pp. 3594-3609, ISSN: 2352-1465
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