publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

Please refer to DBLP, Scopus and Google Scholar for the complete list.

2025

  1. EDBT
    FairnessEval: a Framework for Evaluating Fairness of Machine Learning Models
    Andrea Baraldi, Matteo Brucato, Miroslav Dudı́k, Francesco Guerra, and Matteo Interlandi
    In EDBT, 2025

2024

  1. EMNLP
    Argument Relation Classification through Discourse Markers and Adversarial Training
    Michele Contalbo, Francesco Guerra, and Matteo Paganelli
    In EMNLP, 2024
  2. ICDE
    Explaining Entity Matching with Clusters of Words
    Riccardo Benassi, Francesco Guerra, Matteo Paganelli, and Donato Tiano
    In ICDE, 2024
  3. ICDE
    Pushing ML Predictions into DBMSs (Extended Abstract)
    Matteo Paganelli, Paolo Sottovia, Kwanahvun Park, Matteo Interlandi, and Francesco Guerra
    In ICDE, 2024
  4. VLDB-J
    A multi-facet analysis of BERT-based entity matching models
    Matteo Paganelli, Donato Tiano, and Francesco Guerra
    VLDB J., 2024

2023

  1. EDBT
    An Intrinsically Interpretable Entity Matching System
    Andrea Baraldi, Francesco Del Buono, Francesco Guerra, Matteo Paganelli, and Maurizio Vincini
    In Proceedings 26th International Conference on Extending Database Technology, EDBT 2023, Ioannina, Greece, March 28-31, 2023, 2023
  2. SEBD
    Interpretable Entity Matching with WYM
    Andrea Baraldi, Francesco Del Buono, Francesco Guerra, Giacomo Guiduzzi, Matteo Paganelli, and Maurizio Vincini
    In Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano Terme, Italy, July 2nd to 5th, 2023, 2023
  3. VLDB
    Interpretable Clustering of Multivariate Time Series with Time2Feat
    Angela Bonifati, Francesco Del Buono, Francesco Guerra, Miki Lombardi, and Donato Tiano
    Proc. VLDB Endow., 2023
  4. TKDE
    Pushing ML Predictions Into DBMSs
    Matteo Paganelli, Paolo Sottovia, Kwanghyun Park, Matteo Interlandi, and Francesco Guerra
    IEEE Trans. Knowl. Data Eng., 2023

2022

  1. SAC
    Evaluating the integration of datasets
    Matteo Paganelli, Francesco Del Buono, Francesco Guerra, and Nicola Ferro
    In SAC ’22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25 - 29, 2022, 2022
  2. SEBD
    Landmark Explanation: a Tool for Entity Matching
    Andrea Baraldi, Francesco Del Buono, Matteo Paganelli, and Francesco Guerra
    In Proceedings of the 30th Italian Symposium on Advanced Database Systems, SEBD 2022, Tirrenia (PI), Italy, June 19-22, 2022, 2022
  3. VLDB
    Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering
    Angela Bonifati, Francesco Del Buono, Francesco Guerra, and Donato Tiano
    Proc. VLDB Endow., 2022
  4. VLDB
    Analyzing How BERT Performs Entity Matching
    Matteo Paganelli, Francesco Del Buono, Andrea Baraldi, and Francesco Guerra
    Proc. VLDB Endow., 2022

2021

  1. CIKM
    Landmark Explanation: An Explainer for Entity Matching Models
    Andrea Baraldi, Francesco Del Buono, Matteo Paganelli, and Francesco Guerra
    In CIKM ’21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021
  2. EDBT
    Using Landmarks for Explaining Entity Matching Models
    Andrea Baraldi, Francesco Del Buono, Matteo Paganelli, and Francesco Guerra
    In EDBT, 2021
  3. EDBT
    Automated Machine Learning for Entity Matching Tasks
    Matteo Paganelli, Francesco Del Buono, Marco Pevarello, Francesco Guerra, and Maurizio Vincini
    In Proceedings of the 24th International Conference on Extending Database Technology, EDBT 2021, Nicosia, Cyprus, March 23 - 26, 2021, 2021
  4. SEBD
    Using Descriptions for Explaining Entity Matches (Discussion Paper)
    Matteo Paganelli, Paolo Sottovia, Antonio Maccioni, Matteo Interlandi, and Francesco Guerra
    In SEBD, 2021
  5. SIGMOD
    Transforming ML Predictive Pipelines into SQL with MASQ
    Francesco Del Buono, Matteo Paganelli, Paolo Sottovia, Matteo Interlandi, and Francesco Guerra
    In SIGMOD Conference, 2021

2020

  1. iiWAS
    Unsupervised Evaluation of Data Integration Processes
    Matteo Paganelli, Francesco Del Buono, Francesco Guerra, and Nicola Ferro
    In iiWAS, 2020
  2. INF. SYS.
    Explaining data with descriptions
    Matteo Paganelli, Paolo Sottovia, Antonio Maccioni, Matteo Interlandi, and Francesco Guerra
    Inf. Syst., 2020