Luca Cagliero | SmartData@PoliTO

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Home » People who are involved » Members » Luca Cagliero

Luca Cagliero

Participating Member - Machine Learning, Data Mining, Natural Language Processing

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

Recent Publications since 2017 (25)

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...
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
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
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
M. La Quatra, L. Cagliero, E. Baralis (2020) Exploiting pivot words to classify and summarize discourse facets of scientific papers, In: SCIENTOMETRICS, ISSN: 0138-9130
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
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
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
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
Luca Cagliero, SILVIA ANNA Chiusano, Elena Daraio, 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
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
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
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
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
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
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
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
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
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
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
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...
Elena 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
ELENA MARIA 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
Luca Cagliero, Silvia Chiusano, Tania Cerquitelli, Paolo Garza, Xin Xiao (2017) Predicting critical conditions in bicycle sharing systems, In: COMPUTING, pages 39-57, ISSN: 0010-485X
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

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