ELENA MARIA BARALIS

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Professore Ordinario

Direttrice (Dipartimento di Automatica e Informatica)
Componente (Senato Accademico)
COCI (Centrostudi4impact@PoliTo)
Componente Comitato di Ateneo per la ricerca (Comitato di Ateneo per la ricerca, il trasferimento tecnologico ed i servizi al territorio)
Componente Commissione Didattica (Commissione Didattica)
Componente Commissione Strategie per le Tecnologie dell'Informazione
Componente Gruppo di lavoro Osservatorio di Genere (Gruppo Lavoro Osservatorio di Genere)
Membro Centro Interdipartimentale (SmartData@PoliTO - Big Data and Data Science Laboratory)

+39 0110907075 / 7075 (DAUIN)

Pagina web personale

Pubblicazioni degli ultimi anni

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
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
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
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
Pastor, Eliana; de Alfaro, Luca; Baralis, ELENA MARIA (2021)
Identifying Biased Subgroups in Ranking and Classification.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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