| Creating embeddings of heterogeneous relational datasets for data integration tasks R Cappuzzo, P Papotti, S Thirumuruganathan Proceedings of the 2020 ACM SIGMOD international conference on management of …, 2020 | 207 | 2020 |
| Embdi: generating embeddings for relational data integration R Cappuzzo, P Papotti, S Thirumuruganathan 29th Italian Symposium on Advanced Database Systems (SEDB), Pizzo Calabro, Italy, 2021 | 11 | 2021 |
| Local embeddings for relational data integration R Cappuzzo, P Papotti, S Thirumuruganathan arXiv preprint arXiv:1909.01120, 2019 | 10 | 2019 |
| Relational data imputation with graph neural networks R Cappuzzo, S Thirumuruganathan, P Papotti EDBT/ICDT 2024, 27th International Conference on Extending Database Technology, 2024 | 5 | 2024 |
| Retrieve, merge, predict: Augmenting tables with data lakes R Cappuzzo, A Coelho, F Lefebvre, P Papotti, G Varoquaux arXiv preprint arXiv:2402.06282, 2024 | 5 | 2024 |
| Deep Learning Models for Tabular Data Curation R CAPPUZZO EURECOM, France, 2022 | 2 | 2022 |
| ROCK algorithm parallelization with TOREADOR primitives B Di Martino, S D’Angelo, A Esposito, R Cappuzzo, AS de Oliveira 2018 32nd International Conference on Advanced Information Networking and …, 2018 | 1 | 2018 |
| Retrieve, Merge, Predict: Augmenting Tables with Data Lakes (Experiment, Analysis & Benchmark Paper) R Cappuzzo, G Varoquaux, A Coelho, P Papotti | | 2024 |
| Clustering of categorical data for anonymization and anomaly detection R Cappuzzo Politecnico di Torino, 2018 | | 2018 |
| On improving ROCK-based clustering for categorical data: student research abstract R Cappuzzo Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 499-500, 2018 | | 2018 |
| Clustering of Categorical Data for Anonymization and Anomaly Detection E Baralis, P Papotti, R Cappuzzo | | |
