Download the vcard Photo

Full Professor

Head of Department (Department of Control and Computer Engineering)
Member (Academic Senate)
Member (Centrostudi4impact@PoliTo)
Member (Comitato di Ateneo per la ricerca, il trasferimento tecnologico ed i servizi al territorio)
Member (Commissione Didattica)
Componente Commissione Strategie per le Tecnologie dell'Informazione
Member (Gruppo Lavoro Osservatorio di Genere)
Member of Interdepartmental Center (SmartData@PoliTO - Big Data and Data Science Laboratory)

+39 0110907075 / 7075 (DAUIN)

Personal web site

Last years publications

Attanasio, Giuseppe; Nozza, Debora; Hovy, Dirk; Baralis, Elena (2022)
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. In: Association for Computational Linguistics, pp. 1105-1119
Colomba, Luca; Farasin, Alessandro; Monaco, Simone; Greco, Salvatore; Garza, Paolo; ... (2022)
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. In: International Conference on Information and Knowledge Management (CIKM) 2022, Atlanta (Georgia, USA), 17/10/2022 - 21/10/2022, pp. 3893-3897. ISBN: 978-1-4503-9236-5
Giordano, Danilo; Giobergia, Flavio; Pastor, Eliana; La Macchia, Antonio; Cerquitelli, ... (2022)
Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case. In: COMPUTERS IN INDUSTRY, vol. 134. ISSN 0166-3615
Pastor, Eliana; de Alfaro, Luca; Baralis, ELENA MARIA (2021)
Identifying Biased Subgroups in Ranking and Classification.
Monaco, Simone; Greco, Salvatore; Farasin, Alessandro; Colomba, Luca; Apiletti, Daniele; ... (2021)
Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction. In: APPLIED SCIENCES, vol. 11. ISSN 2076-3417
Giordano, Danilo; Pastor, Eliana; Giobergia, Flavio; Cerquitelli, Tania; Baralis, Elena; ... (2021)
Dissecting a Data-driven Prognostic Pipeline: A Powertrain use case. In: EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174
Pastor, Eliana; de Alfaro, Luca; Baralis, Elena (2021)
Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence. In: SIGMOD/PODS '21: International Conference on Management of Data, Virtual Event, China, June 20–25, 2021, pp. 1400-1412. ISBN: 978-1-4503-8343-1
Cerquitelli, Tania; Ventura, Francesco; Apiletti, Daniele; Baralis, Elena; Macii, ... (2021)
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes. In: EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174
Cagliero, Luca; LA QUATRA, Moreno; Garza, Paolo; Baralis, ELENA MARIA (2021)
Cross-lingual timeline summarization. In: 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), Virtual, Online, 1-3 December 2021, pp. 45-53. ISBN: 978-1-6654-3736-3
Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Farasin, Alessandro; ... (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, Nicosia (Cyprus), March 23-26, 2021. ISBN: 978-3-89318-084-4
Pastor, Eliana; Gavgavian, Andrew; Baralis, Elena; de Alfaro, Luca (2021)
How Divergent Is Your Data?. In: 47th International Conference on Very Large Data Bases, pp. 2835-2838
Markudova, Dena; Mishra, Sachit; Cagliero, Luca; Vassio, Luca; Mellia, Marco; Baralis, ... (2021)
Preventive maintenance for heterogeneous industrial vehicles with incomplete usage data. In: COMPUTERS IN INDUSTRY, vol. 130. ISSN 0166-3615
Cagliero, L.; Canale, L.; Farinetti, L.; Baralis, E.; Venuto, E. (2021)
Predicting student academic performance by means of associative classification. In: APPLIED SCIENCES, vol. 11, pp. 1-22. ISSN 2076-3417
LA QUATRA, Moreno; Cagliero, Luca; Baralis, ELENA MARIA; Messina, Alberto; Montagnuolo, ... (2021)
Summarize Dates First: A Paradigm Shift in Timeline Summarization. In: ACM SIGIR 2021, Virtual, Online, 11 July 2021 - 15 July 2021, pp. 418-427. ISBN: 978-145038037-9
La Quatra, M.; Cagliero, L.; Baralis, E. (2021)
Leveraging full-text article exploration for citation analysis. In: SCIENTOMETRICS. ISSN 0138-9130
Palumbo, Enrico; Monti, DIEGO MICHELE; Rizzo, Giuseppe; Troncy, Raphaël; Baralis, ELENA ... (2020)
entity2rec: Property-specific knowledge graph embeddings for item recommendation. In: EXPERT SYSTEMS WITH APPLICATIONS, vol. 151, pp. 1-18. ISSN 0957-4174
Giobergia, Flavio; Cagliero, Luca; Garza, Paolo; Baralis, Elena (2020)
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. In: Data Analytics solutions for Real-LIfe APplications (DARLI-AP). 2020 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2020
Renga, Daniela; Apiletti, Daniele; Giordano, Danilo; Nisi, Matteo; Huang, Tao; Zhang, ... (2020)
Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis. In: COMPUTING, pp. 1-13. ISSN 1436-5057
Mishra, S.; Vassio, L.; Cagliero, L.; Mellia, M.; Baralis, E.; Loti, R.; Salvatori, L. (2020)
Machine learning supported next-maintenance prediction for industrial vehicles. In: Workshops of the 23rd International Conference on Extending Database Technology/23rd International Conference on Database Theory, EDBT-ICDT-WS 2020, dnk, 2020. ISSN 1613-0073
La Quatra, M.; Cagliero, L.; Baralis, E. (2020)
Exploiting pivot words to classify and summarize discourse facets of scientific papers. In: SCIENTOMETRICS, pp. 1-19. ISSN 0138-9130
Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Garza, Paolo; Baralis, ... (2020)
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. In: 2020 IEEE International Conference on Big Data, Atlanta (US), December 10-13, 2020, pp. 5786-5788. ISBN: 978-1-7281-6251-5
Pastor, E.; Baralis, E. (2020)
Bring Your Own Data to X-PLAIN. In: 2020 ACM SIGMOD International Conference on Management of Data, SIGMOD 2020, usa, 2020, pp. 2805-2808. ISSN 0730-8078. ISBN: 9781450367356
Apiletti, D.; Pastor, E.; Callà, R.; Baralis, E. (2020)
Evaluating espresso coffee quality by means of time-series feature engineering. In: Workshops of the 23rd International Conference on Extending Database Technology/23rd International Conference on Database Theory, EDBT-ICDT-WS 2020, dnk, 2020. ISSN 1613-0073
Attanasio, Giuseppe; Giobergia, Flavio; Pasini, Andrea; Ventura, Francesco; Baralis, ... (2020)
DSLE: A Smart Platform for Designing Data Science Competitions. In: 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), Madrid (Spain), July 13-17, pp. 133-142. ISBN: 978-1-7281-7303-0
Cerquitelli, T.; Corso, E. D.; Proto, S.; Bethaz, P.; Mazzarelli, D.; Capozzoli, A.; ... (2020)
A data-driven energy platform: from energy performance certificates to human-readable knowledge through dynamic high-resolution geospatial maps. In: ELECTRONICS, vol. 9, pp. 1-26. ISSN 2079-9292
Attanasio, Giuseppe; Cagliero, Luca; Baralis, Elena (2020)
Leveraging the explainability of associative classifiers to support quantitative stock trading. In: Sixth International Workshop on Data Science for Macro-Modeling, Portland, OR, USA, June 14, 2020, pp. 1-6. ISBN: 9781450380300
Cagliero, Luca; Garza, Paolo; Attanasio, Giuseppe; Baralis, Elena (2020)
Training ensembles of faceted classification models for quantitative stock trading. In: COMPUTING, vol. 102, pp. 1213-1225. ISSN 0010-485X
Show all publications in Porto@Iris