Full Professor
Department of Control and Computer Engineering (DAUIN)
- Head of Department Department of Control and Computer Engineering
- Componente Commissione Strategie per le Tecnologie dell'Informazione
- Member Academic Senate
- Member Centrostudi4impact@PoliTo
- Member Comitato di Ateneo per la ricerca, il trasferimento tecnologico ed i servizi al territorio
- Member Commissione Didattica
- Member of Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory
Profile
Research interests
Biography
Elena Baralis is full professor in the Computer Engineering Department of the Politecnico di Torino since January 2005. She holds a laurea degree in Electrical Engineering (1986) and a Ph.D. in Computer and Systems Engineering (1994), both from Politecnico di Torino. She lectures on , data science and machine learning, database systems and related technologies, data warehousing.
She is currently chair of the Control and Computer Engineering Department and was chair of the Computer Engineering School of the Politecnico di Torino from October 2012 to October 2018. She is currently a member of the Senato Accademico (managing board of the Politecnico di Torino), and also was has been member from February 2002 to December 2004.
Her current research interests are in the field of database systems and data mining, more specifically on explainable AI, bias detection in data analytics, and machine learning algorithms for big data. Her research activity also focuses on the study of algorithms for various data mining tasks on diverse application domains (e.g., predictive maintenance, industry 4.0, health). She has published over 200 papers in international journals (IEEE TKDE, ACM TODS, ACM TOIS) and conference proceedings (IEEE ICDE, IEEE ICDM, VLDB). She visited IBM Almaden Research Labs (California), Stanford University Computer Science Department, and recently Narus Inc. (California).
She has been area-chair of several editions of IEEE Int. Conf. on Data Mining ('08,’12, ICDM’14 - ICDM’22), ACM Knowledge Discovery in Data - Applied Data Science Track (’17-19, ’22), ECML-PKDD'11. She has served on the program committees of several international conferences and workshops.
Skills
ERC sectors
SDG
Fellowships
- Fellow - Accademia delle scienze di Torino, Italia (2017-)
Socio corrispondente della sezione VIII - Scienze dell'informazione
Editorial boards
- IEEE INTERNET OF THINGS JOURNAL (2016-2019), Director
- KNOWLEDGE AND INFORMATION SYSTEMS (2014-), Director
Teaching
PhD Boards
- INGEGNERIA INFORMATICA E DEI SISTEMI, 2020/2021 (37. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2019/2020 (36. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2018/2019 (35. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2017/2018 (34. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2016/2017 (33. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2015/2016 (32. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2014/2015 (31. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2013/2014 (30. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2012/2013 (29. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2011/2012 (28. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2010/2011 (27. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2009/2010 (26. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2008/2009 (25. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2007/2008 (24. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2006/2007 (23. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2005/2006 (22. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2004/2005 (21. ciclo)
Politecnico di TORINO
Courses of Study Boards
Teachings
Master of Science
- Sistemi per la gestione di basi di dati. A.A. 2017/18, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Data Science e Tecnologie per le Basi di Dati. A.A. 2018/19, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Data Science e Tecnologie per le Basi di Dati. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Data Science e Tecnologie per le Basi di Dati. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Data Science e Tecnologie per le Basi di Dati. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Data Science e Tecnologie per le Basi di Dati. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Data science lab: process and methods. A.A. 2019/20, DATA SCIENCE AND ENGINEERING. Titolare del corso
- Data science lab: process and methods. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Titolare del corso
- Data science lab: process and methods. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Titolare del corso
- Data science lab: process and methods. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Titolare del corso
Bachelor of Science
- Dati, algoritmi e le frontiere dell'informatica - Intraprendenti. A.A. 2022/23, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Basi di dati. A.A. 2018/19, MATEMATICA PER L'INGEGNERIA. Titolare del corso
- Basi di dati. A.A. 2017/18, INGEGNERIA GESTIONALE. Titolare del corso
Research
Research groups
Supervised PhD students
- Alkis Koudounas. Programme in Ingegneria Informatica E Dei Sistemi (cycle 38, 2022-in progress)
- Flavio Giobergia. Programme in Ingegneria Informatica E Dei Sistemi (cycle 35, 2019-in progress)
Thesis: Machine learning with limited label availability: algorithms and applications
Machine Learning Artificial intelligence - Giuseppe Attanasio. Programme in Ingegneria Informatica E Dei Sistemi (cycle 34, 2018-2022)
Thesis: Dissecting Deep Language Models: The Explainability and Bias Perspective
Machine Learning Artificial intelligence - Andrea Pasini. Programme in Ingegneria Informatica E Dei Sistemi (cycle 33, 2017-2021)
Thesis: Semantics-aware image understanding
Machine Learning Artificial intelligence - Eliana Pastor. Programme in Ingegneria Informatica E Dei Sistemi (cycle 33, 2017-2021)
Thesis: Pattern-based algorithms for Explainable AI
Machine Learning Artificial intelligence Human and societal aspects of Computer Technologies
Publications
Last years publications View all publications in Porto@Iris
- 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
Contributo su Rivista - Giobergia, Flavio; Baralis, Elena (2022)
RECLAIM: Reverse Engineering Classification Metrics. In: IEEE International Conference on AI and Knowledge Engineering, 19-21 September 2022, Laguna Hills, CA (USA), pp. 106-113
Contributo in Atti di Convegno (Proceeding) - Vaiani, Lorenzo; Koudounas, Alkis; LA QUATRA, Moreno; Cagliero, Luca; Garza, Paolo; ... (2022)
Transformer-based Non-Verbal Emotion Recognition: Exploring Model Portability across Speakers’ Genders. In: Multimodal Sentiment Analysis Challenge (MuSe 2022), Lisbon (PT), October 10 2022, pp. 89-94
Contributo in Atti di Convegno (Proceeding) - 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
Contributo in Atti di Convegno (Proceeding) - 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
Contributo in Atti di Convegno (Proceeding) - Vaiani, Lorenzo; Koudounas, Alkis; LA QUATRA, Moreno; Cagliero, Luca; Garza, Paolo; ... (2022)
How Much Attention Should we Pay to Mosquitoes?. In: Computational Paralinguistics ChallengE 2022 (ComParE 2022), Lisbon (PT), October 10-14, 2022, pp. 7135-7139. ISBN: 978-1-4503-9203-7
Contributo in Atti di Convegno (Proceeding) - Pasini, Andrea; Giobergia, Flavio; Pastor, Eliana; Baralis, ELENA MARIA (2022)
Semantic Image Collection Summarization with Frequent Subgraph Mining. In: IEEE ACCESS, vol. 10, pp. 131747-131764. ISSN 2169-3536
Contributo su Rivista - 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
Contributo su Rivista - Pastor, Eliana; de Alfaro, Luca; Baralis, ELENA MARIA (2021)
Identifying Biased Subgroups in Ranking and Classification.
Altro - 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
Contributo su Rivista - 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
Contributo in Atti di Convegno (Proceeding) - La Quatra, M.; Cagliero, L.; Baralis, E. (2021)
Leveraging full-text article exploration for citation analysis. In: SCIENTOMETRICS. ISSN 0138-9130
Contributo su Rivista - 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
Contributo su Rivista - 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
Contributo in Atti di Convegno (Proceeding) - 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
Contributo in Atti di Convegno (Proceeding) - 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
Contributo su Rivista - 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
Contributo in Atti di Convegno (Proceeding) - 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
Contributo in Atti di Convegno (Proceeding) - 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
Contributo su Rivista - 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
Contributo su Rivista - 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
Contributo su Rivista - 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
Contributo in Atti di Convegno (Proceeding) - 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
Contributo in Atti di Convegno (Proceeding) - 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
Contributo in Atti di Convegno (Proceeding) - 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
Contributo in Atti di Convegno (Proceeding) - 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
Contributo su Rivista - 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
Contributo su Rivista - 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
Contributo in Atti di Convegno (Proceeding) - 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
Contributo in Atti di Convegno (Proceeding) - 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
Contributo in Atti di Convegno (Proceeding) - 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
Contributo su Rivista