Entity Resolution on Camera Records Without Machine Learning. - Luca Zecchini; Giovanni Simonini; Sonia Bergamaschi (DI2KG@VLDB, 2020)

The Case for Multi-task Active Learning Entity Resolution (Discussion Paper). - Giovanni Simonini; Henrique Saccani; Luca Gagliardelli; Luca Zecchini; Domenico Beneventano; Sonia Bergamaschi (SEBD, 2021)

Progressive Query-Driven Entity Resolution. - Luca Zecchini (SISAP, 2021)

ECDP: A Big Data Platform for the Smart Monitoring of Local Energy Communities. - Luca Gagliardelli; Luca Zecchini; Domenico Beneventano; Giovanni Simonini; Sonia Bergamaschi; Mirko Orsini; Luca Magnotta; Emma Mescoli; Andrea Livaldi; Nicola Gessa; Piero De Sabbata; Gianluca D'Agosta; et al. (EDBT/ICDT Workshops, 2022)

Progressive Entity Resolution with Node Embeddings. - Giovanni Simonini; Luca Gagliardelli; Michele Rinaldi; Luca Zecchini; Giulio De Sabbata; Adeel Aslam; Domenico Beneventano; Sonia Bergamaschi (SEBD, 2022)

Task-Driven Big Data Integration. - Luca Zecchini (SEBD, 2022)

Entity Resolution On-Demand. - Giovanni Simonini; Luca Zecchini; Sonia Bergamaschi; Felix Naumann (Proc. VLDB Endow., 2022)

Bridging the Gap between Buyers and Sellers in Data Marketplaces with Personalized Datasets. - Donatella Firmani; Jerin George Mathew; Donatello Santoro; Giovanni Simonini; Luca Zecchini (SEBD, 2023)

Entity Resolution On-Demand for Querying Dirty Datasets. - Giovanni Simonini; Luca Zecchini; Felix Naumann; Sonia Bergamaschi (SEBD, 2023)

DXP: Billing Data Preparation for Big Data Analytics. - Luca Gagliardelli; Domenico Beneventano; Marco Esposito; Luca Zecchini; Giovanni Simonini; Sonia Bergamaschi; Fabio Miselli; Giuseppe Calogero Miano (CoRR, 2023)

BrewER: Entity Resolution On-Demand. - Luca Zecchini; Giovanni Simonini; Sonia Bergamaschi; Felix Naumann (Proc. VLDB Endow., 2023)

A big data platform exploiting auditable tokenization to promote good practices inside local energy communities. - Luca Gagliardelli; Luca Zecchini; Luca Ferretti; Domenico Beneventano; Giovanni Simonini; Sonia Bergamaschi; Mirko Orsini; Luca Magnotta; Emma Mescoli; Andrea Livaldi; Nicola Gessa; Piero De Sabbata; et al. (Future Gener. Comput. Syst., 2023)

Experiences and Lessons Learned from the SIGMOD Entity Resolution Programming Contests. - Andrea De Angelis; Maurizio Mazzei; Federico Piai; Paolo Merialdo; Giovanni Simonini; Luca Zecchini; Sonia Bergamaschi; Donatella Firmani; Xu Chu 002; Peng Li 062; Renzhi Wu (SIGMOD Rec., 2023)

The Future of Sustainable Data Preparation. - Barbara Pernici; Cinzia Cappiello; Edoardo Ramalli; Matteo Palmonari; Federico Belotti; Flavio De Paoli; Angelo Mozzillo; Luca Zecchini; Giovanni Simonini; Sonia Bergamaschi; Tiziana Catarci; Matteo Filosa; et al. (SEBD, 2024)

Overlap-Based Duplicate Table Detection. - Luca Zecchini; Tobias Bleifuß; Giovanni Simonini; Sonia Bergamaschi; Felix Naumann (SEBD, 2024)

Stream-aware indexing for distributed inequality join processing. - Adeel Aslam; Giovanni Simonini; Luca Gagliardelli; Luca Zecchini; Sonia Bergamaschi (Inf. Syst., 2024)

Determining the Largest Overlap between Tables. - Luca Zecchini; Tobias Bleifuß; Giovanni Simonini; Sonia Bergamaschi; Felix Naumann (Proc. ACM Manag. Data, 2024)

Evaluation of Dataframe Libraries for Data Preparation on a Single Machine. - Angelo Mozzillo; Luca Zecchini; Luca Gagliardelli; Adeel Aslam; Sonia Bergamaschi; Giovanni Simonini (EDBT, 2025)

Deduplicated Sampling On-Demand. - Luca Zecchini; Vasilis Efthymiou; Felix Naumann; Giovanni Simonini (Proc. VLDB Endow., 2025)

Table Overlap Estimation through Graph Embeddings. - Francesco Pugnaloni; Luca Zecchini; Matteo Paganelli; Matteo Lissandrini; Felix Naumann; Giovanni Simonini (Proc. ACM Manag. Data, 2025)