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 | 162 | 2020 |
Local embeddings for relational data integration R Cappuzzo, P Papotti, S Thirumuruganathan arXiv preprint arXiv:1909.01120, 2019 | 9 | 2019 |
Embdi: generating embeddings for relational data integration R Cappuzzo, P Papotti, S Thirumuruganathan Proceedings of the 29th Italian symposium on advanced database systems, SEBD …, 2021 | 7 | 2021 |
Deep Learning Models for Tabular Data Curation R CAPPUZZO EURECOM, France, 2022 | 2 | 2022 |
Retrieve, Merge, Predict: Augmenting Tables with Data Lakes R Cappuzzo, G Varoquaux, A Coelho, P Papotti arXiv preprint arXiv:2402.06282, 2024 | 1 | 2024 |
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 |
Relational Data Imputation with Graph Neural Networks R Cappuzzo, S Thirumuruganathan, P Papotti EDBT/ICDT 2024, 27th International Conference on Extending Database Technology, 2024 | | 2024 |
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 | | |