Francesco Guerra

Affiliation. Department of Engineering "Enzo Ferrari", UNIMORE, Italy

foto_guerra.png

Office MO-27-01-034

c/o DIEF, via Vivarelli 12

41125 Modena, Italy

Short Bio

I’m Full Professor at the Department of Engineering “Enzo Ferrari” from the University of Modena and Reggio Emilia, where he teaches Software Engineering and Big Data Analysis.

My research interests include scalable data management and integration (I’m working on the development of Machine Learning and Deep Learning explainable techniques to the Entity Resolution problem), data mining and analytics on big data (I’m working on techniques for anomaly and novelty detection, for supporting machine learning techniques in production), semantic web (I’m involved in projects for the creation and alignment of ontologies), and keyword based searches on structured datasets.

I participated in European and national projects. In particular, I coordinated the KEYSTONE COST Action, years 2013-2017, (IC 1302 KEYSTONE COST Action– Semantic Keyword Search on Structured Data Sources), and the Re-search Alps (INEA/CEF/ICT/A2016/1296967) project, years 2017-2019. I was Visiting Professor at the University of Rijeka in 2019. I’m a visiting reviewer for the AI thesis at the University of Malta (2022-2024).

Accademic Position

  • Since September 2022, I’m Full Professor at the Department of Engineering “Enzo Ferrari”, of the University of Modena and Reggio Emilia. I teach Software Engineering and Big Data Analysis.

  • Since November 2022, President of the bachelor and master’s degree course councils in computer engineering at the Department of Engineering “Enzo Ferrari”.

  • Since 2021, Coordinator of the curriculum of Computer Engineering and Science of the Doctorate Course in ICT at the University of Modena and Reggio Emilia.

Education

  • Ph.D. in Information Engineering (2004). University of Modena and Reggio Emilia, Italy
  • Master Degree in Information Engineering (2000). University of Modena and Reggio Emilia, Italy
  • Diploma di Maturità Classica (1992). Liceo Classico “L. A. Muratori”, Modena, Italy

Institutional Web Page at UNIMORE

selected publications

  1. ABCD
    Landmark Explanation: An Explainer for Entity Matching Models
    Andrea Baraldi, Francesco Del Buono, Matteo Paganelli, and 1 more author
    In CIKM ’21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 2021
  2. DDDD
    An Intrinsically Interpretable Entity Matching System
    Andrea Baraldi, Francesco Del Buono, Francesco Guerra, and 2 more authors
    In Proceedings 26th International Conference on Extending Database Technology, EDBT 2023, Ioannina, Greece, March 28-31, 2023 2023
  3. ABCD
    Automated Machine Learning for Entity Matching Tasks
    Matteo Paganelli, Francesco Del Buono, Marco Pevarello, and 2 more authors
    In Proceedings of the 24th International Conference on Extending Database Technology, EDBT 2021, Nicosia, Cyprus, March 23 - 26, 2021 2021
  4. ABCD
    Evaluating the integration of datasets
    Matteo Paganelli, Francesco Del Buono, Francesco Guerra, and 1 more author
    In SAC ’22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25 - 29, 2022 2022
  5. ABCD
    Interpretable Entity Matching with WYM
    Andrea Baraldi, Francesco Del Buono, Francesco Guerra, and 3 more authors
    In Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano Terme, Italy, July 2nd to 5th, 2023 2023
  6. ABCD
    Landmark Explanation: a Tool for Entity Matching
    Andrea Baraldi, Francesco Del Buono, Matteo Paganelli, and 1 more author
    In Proceedings of the 30th Italian Symposium on Advanced Database Systems, SEBD 2022, Tirrenia (PI), Italy, June 19-22, 2022 2022
  7. ABCD
    Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering
    Angela Bonifati, Francesco Del Buono, Francesco Guerra, and 1 more author
    Proc. VLDB Endow. 2022
  8. ABCD
    Analyzing How BERT Performs Entity Matching
    Matteo Paganelli, Francesco Del Buono, Andrea Baraldi, and 1 more author
    Proc. VLDB Endow. 2022
  9. ABCD
    TEST Pushing ML Predictions Into DBMSs
    Matteo Paganelli, Paolo Sottovia, Kwanghyun Park, and 2 more authors
    IEEE Trans. Knowl. Data Eng. 2023