Luca Cagliero | SmartData@PoliTO

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Home » People who are involved » Members » Luca Cagliero

Luca Cagliero

Project Coordinator - Machine Learning, Data Mining, Natural Language Processing

Email: luca.cagliero@polito.it
Website: link

Recent Publications since 2017 (71)

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, Type: Conference
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, Type: Journal paper
Moreno La Quatra, Luca Cagliero (2023) BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text Summarization, In: FUTURE INTERNET, pages 1-13, ISSN: 1999-5903, Type: Journal paper
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, Type: Conference
Luca Colomba, Luca Cagliero, Paolo Garza (2023) Density-based Clustering by Means of Bridge Point Identification, In: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, pages 1-14, ISSN: 1041-4347, Type: Journal paper
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, pages 1630-1636, ISBN: 979-8-3503-2445-7, Type: Conference
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, Type: Journal paper
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, pages 361-365, ISBN: 978-3-031-43429-7, Type: Conference
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, pages 1-15, ISSN: 0166-3615, Type: Journal paper
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, pages 354-364, Type: Conference
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, pages 21216-21227, ISSN: 1524-9050, Type: Journal paper
J Fior, L Cagliero (2022) Correlating Extreme Weather Conditions With Road Traffic Safety: A Unified Latent Space Model, In: IEEE ACCESS, pages 73005-73018, ISSN: 2169-3536, Type: Journal paper
Jacopo Fior, Luca Cagliero, Tommaso Calò (2022) Generating Comparative Explanations of Financial Time Series, In: Advances in Databases and Information System, pages 121-132, ISBN: 978-3-031-15739-4, Type: Conference
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, pages 7135-7139, ISBN: 978-1-4503-9203-7, Type: Conference
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), pages 6639-6641, ISBN: 978-1-6654-8045-1, Type: Conference
Jacopo Fior, Luca Cagliero, Paolo Garza (2022) Leveraging Explainable AI to Support Cryptocurrency Investors, In: FUTURE INTERNET, page 251, ISSN: 1999-5903, Type: Journal paper
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, pages 863-870, Type: Conference
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), pages 415-416, ISBN: 978-1-6654-8810-5, Type: Conference
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, page 100310, ISSN: 2666-8270, Type: Journal paper
Luca Colomba, Luca Cagliero, Paolo Garza (2022) Mining SpatioTemporally Invariant Patterns, In: Titolo volume non avvalorato, ISBN: 978-1-4503-9529-8, Type: Conference
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, pages 181-200, ISBN: 9781509950683, Type: Book chapter
Moreno La Quatra, Luca Cagliero (2022) Transformer-based highlights extraction from scientific papers, In: KNOWLEDGE-BASED SYSTEMS, ISSN: 1872-7409, Type: Journal paper
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, pages 89-94, Type: Conference
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), pages 67-73, Type: Conference
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, page 102966, ISSN: 0968-090X, Type: Journal paper
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), pages 103-108, Type: Conference
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), pages 45-53, ISBN: 978-1-6654-3736-3, Type: Conference
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), pages 402-407, Type: Conference
Luca Cagliero, Moreno La Quatra (2021) Inferring multilingual domain-specific word embeddings from large document corpora, In: IEEE ACCESS, pages 137309-137321, ISSN: 2169-3536, Type: Journal paper
M. La Quatra, L. Cagliero, E. Baralis (2021) Leveraging full-text article exploration for citation analysis, In: SCIENTOMETRICS, ISSN: 0138-9130, Type: Journal paper
L. Cagliero, L. Canale, L. Farinetti, E. Baralis, E. Venuto (2021) Predicting student academic performance by means of associative classification, In: APPLIED SCIENCES, pages 1-22, ISSN: 2076-3417, Type: Journal paper
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, page 103468, ISSN: 0166-3615, Type: Journal paper
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, pages 1-6, ISBN: 978-3-89318-084-4, Type: Conference
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, pages 418-427, ISBN: 978-145038037-9, Type: Conference
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, pages 1101-1110, Type: Conference
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, pages 1-31, ISBN: 9781522593737, 15..., Type: Book chapter
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, Type: Conference
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), pages 133-142, ISBN: 978-1-7281-7303-0, Type: Conference
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, pages 118-123, Type: Conference
M. La Quatra, L. Cagliero, E. Baralis (2020) Exploiting pivot words to classify and summarize discourse facets of scientific papers, In: SCIENTOMETRICS, pages 1-19, ISSN: 0138-9130, Type: Journal paper
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), pages 333-340, Type: Conference
L. Cagliero, M. La Quatra (2020) Extracting highlights of scientific articles: A supervised summarization approach, In: EXPERT SYSTEMS WITH APPLICATIONS, page 113659, ISSN: 0957-4174, Type: Journal paper
L. Cagliero, M. La Quatra, D. Apiletti (2020) From Hotel Reviews to City Similarities: A Unified Latent-Space Model, In: ELECTRONICS, pages 1-16, ISSN: 2079-9292, Type: Journal paper
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, pages 1-6, ISBN: 9781450380300, Type: Conference
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, Type: Conference
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, page 1322, ISSN: 2079-9292, Type: Journal paper
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, pages 1-6, ISBN: 9781450380300, Type: Conference
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, pages 14953-14964, ISSN: 2169-3536, Type: Journal paper
Luca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis (2020) Training ensembles of faceted classification models for quantitative stock trading, In: COMPUTING, pages 1213-1225, ISSN: 0010-485X, Type: Journal paper
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, pages 72-76, ISBN: 978-1-7281-2772-9, Type: Conference
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, pages 514-521, Type: Conference
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, pages 1-33, ISSN: 1046-8188, Type: Journal paper
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, pages 1-6, Type: Conference
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), pages 233-246, Type: Conference
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, pages 1-6, ISBN: 9781450368230, Type: Conference
Luca Cagliero, Laura Farinetti, Elena Maria Baralis (2019) Recommending Personalized Summaries of Teaching Materials, In: IEEE ACCESS, pages 22729-22739, ISSN: 2169-3536, Type: Journal paper
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, Type: Journal paper
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, page 2521, ISSN: 2076-3417, Type: Journal paper
Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Antonio Attanasio (2018) Characterizing unpredictable patterns in Wireless Sensor Network data, In: INFORMATION SCIENCES, pages 149-162, ISSN: 0020-0255, Type: Journal paper
Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis (2018) Discovering cross-topic collaborations among researchers by exploiting weighted association rules, In: SCIENTOMETRICS, pages 1273-1301, ISSN: 0138-9130, Type: Journal paper
Elena Maria Baralis, Luca Cagliero (2018) Highlighter: automatic highlighting of electronic learning documents, In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, pages 7-19, ISSN: 2168-6750, Type: Journal paper
Luca Cagliero, Paolo Garza (2018) Study of the applicability of an itemset-based portfolio planner in a multi-market context, In: CEUR Workshop Proceedings, pages 50-55, Type: Conference
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, pages 224-234, ISBN: 978-3-319-67161-1..., Type: Conference
Elena Maria Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti (2017) Discovering profitable stocks for intraday trading, In: INFORMATION SCIENCES, pages 91-106, ISSN: 0020-0255, Type: Journal paper
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), pages 1-9, ISBN: 978-1-5090-5920-1, Type: Conference
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), pages 381-390, ISBN: 978-1-5386-0367-3, Type: Conference
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..., pages 56-68, Type: Conference
Elena Baralis, Luca Cagliero, Paolo Garza (2017) Planning stock portfolios by means of weighted frequent itemsets, In: EXPERT SYSTEMS WITH APPLICATIONS, pages 1-17, ISSN: 0957-4174, Type: Journal paper
Luca Cagliero, Silvia Anna Chiusano, Tania Cerquitelli, Paolo Garza, Xin Xiao (2017) Predicting critical conditions in bicycle sharing systems, In: COMPUTING, pages 39-57, ISSN: 0010-485X, Type: Journal paper
Luca Cagliero (2017) Summarization of emergency news articles driven by relevance feedback, In: Titolo volume non avvalorato, pages 3713-3721, ISBN: 978-1-5386-2715-0, Type: Conference
Luca Cagliero, Laura Farinetti, Elena Maria Baralis (2017) Test-driven summarization: combining formative assessment with teaching document summarization, In: 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), pages 401-406, ISBN: 978-1-5386-0367-3, Type: Conference

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