The RE-SEARCH ALPS (Research Laboratories in the Alpine Area) Project. - Francesco Guerra 001; Margherita Russo; Marco Fontana; Matteo Paganelli; François Bancilhon; Christian Frisch; Loïc Petit; Anna Giorgi; Emanuela Zilio (HPCS, 2017)

Finding Synonymous Attributes in Evolving Wikipedia Infoboxes. - Paolo Sottovia; Matteo Paganelli; Francesco Guerra 001; Yannis Velegrakis (ADBIS, 2019)

Big Data Integration of Heterogeneous Data Sources: The Re-Search Alps Case Study. - Francesco Guerra 001; Paolo Sottovia; Matteo Paganelli; Maurizio Vincini (BigData Congress, 2019)

TuneR: Fine Tuning of Rule-based Entity Matchers. - Matteo Paganelli; Paolo Sottovia; Francesco Guerra 001; Yannis Velegrakis (CIKM, 2019)

Understanding Data in the Blink of an Eye. - Matteo Paganelli; Paolo Sottovia; Antonio Maccioni; Matteo Interlandi; Francesco Guerra 001 (CIKM, 2019)

Parallelizing Computations of Full Disjunctions. - Matteo Paganelli; Domenico Beneventano; Francesco Guerra 001; Paolo Sottovia (Big Data Res., 2019)

Unsupervised Evaluation of Data Integration Processes. - Matteo Paganelli; Francesco Del Buono; Francesco Guerra 001; Nicola Ferro 001 (iiWAS, 2020)

Explaining data with descriptions. - Matteo Paganelli; Paolo Sottovia; Antonio Maccioni; Matteo Interlandi; Francesco Guerra 001 (Inf. Syst., 2020)

Landmark Explanation: An Explainer for Entity Matching Models. - Andrea Baraldi 002; Francesco Del Buono; Matteo Paganelli; Francesco Guerra 001 (CIKM, 2021)

Using Landmarks for Explaining Entity Matching Models. - Andrea Baraldi 002; Francesco Del Buono; Matteo Paganelli; Francesco Guerra 001 (EDBT, 2021)

Automated Machine Learning for Entity Matching Tasks. - Matteo Paganelli; Francesco Del Buono; Marco Pevarello; Francesco Guerra 001; Maurizio Vincini (EDBT, 2021)

Using Descriptions for Explaining Entity Matches (Discussion Paper). - Matteo Paganelli; Paolo Sottovia; Antonio Maccioni; Matteo Interlandi; Francesco Guerra 001 (SEBD, 2021)

Transforming ML Predictive Pipelines into SQL with MASQ. - Francesco Del Buono; Matteo Paganelli; Paolo Sottovia; Matteo Interlandi; Francesco Guerra 001 (SIGMOD Conference, 2021)

Evaluating the integration of datasets. - Matteo Paganelli; Francesco Del Buono; Francesco Guerra 001; Nicola Ferro 001 (SAC, 2022)

Landmark Explanation: a Tool for Entity Matching. - Andrea Baraldi 002; Francesco Del Buono; Matteo Paganelli; Francesco Guerra 001 (SEBD, 2022)

Analyzing How BERT Performs Entity Matching. - Matteo Paganelli; Francesco Del Buono; Andrea Baraldi 002; Francesco Guerra 001 (Proc. VLDB Endow., 2022)

An Intrinsically Interpretable Entity Matching System. - Andrea Baraldi 002; Francesco Del Buono; Francesco Guerra 001; Matteo Paganelli; Maurizio Vincini (EDBT, 2023)

Avoiding the Pitfalls on Stock Market: Challenges and Solutions in Developing Quantitative Strategies. - Marco Bergianti; Nicola Cioffo; Francesco Del Buono; Matteo Paganelli; Angelo Porrello (Ital-IA, 2023)

Interpretable Entity Matching with WYM. - Andrea Baraldi 002; Francesco Del Buono; Francesco Guerra 001; Giacomo Guiduzzi; Matteo Paganelli; Maurizio Vincini (SEBD, 2023)

Pushing ML Predictions Into DBMSs. - Matteo Paganelli; Paolo Sottovia; Kwanghyun Park 001; Matteo Interlandi; Francesco Guerra 001 (IEEE Trans. Knowl. Data Eng., 2023)

Argument Relation Classification through Discourse Markers and Adversarial Training. - Michele Contalbo; Francesco Guerra 001; Matteo Paganelli (EMNLP, 2024)

Explaining Entity Matching with Clusters of Words. - Riccardo Benassi; Francesco Guerra 001; Matteo Paganelli; Donato Tiano (ICDE, 2024)

Pushing ML Predictions into DBMSs (Extended Abstract). - Matteo Paganelli; Paolo Sottovia; Kwanghyun Park 001; Matteo Interlandi; Francesco Guerra 001 (ICDE, 2024)

How Transformers Are Revolutionizing Entity Matching. - Matteo Paganelli; Donato Tiano; Francesco Del Buono; Andrea Baraldi 002; Riccardo Benassi; Giacomo Guiduzzi; Francesco Guerra 001 (SEBD, 2024)

A multi-facet analysis of BERT-based entity matching models. - Matteo Paganelli; Donato Tiano; Francesco Guerra 001 (VLDB J., 2024)

GRI-QA: a Comprehensive Benchmark for Table Question Answering over Environmental Data. - Michele Luca Contalbo; Sara Pederzoli; Francesco Del Buono; Venturelli Valeria; Francesco Guerra 001; Matteo Paganelli (ACL (Findings), 2025)

PRISMA: A Privacy-Preserving Schema Matcher using Functional Dependencies. - Jan-Eric Hellenberg; Fabian Mahling; Lukas Laskowski; Felix Naumann; Matteo Paganelli; Fabian Panse (EDBT, 2025)

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