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2020 – today
- 2024
[c5]Riccardo Cappuzzo, Saravanan Thirumuruganathan, Paolo Papotti:
Relational Data Imputation with Graph Neural Networks. EDBT 2024: 221-233- [i2]Riccardo Cappuzzo, Gaël Varoquaux, Aimee Coelho, Paolo Papotti:
Retrieve, Merge, Predict: Augmenting Tables with Data Lakes. CoRR abs/2402.06282 (2024) - 2022
- [b1]Riccardo Cappuzzo:
Deep learning models for tabular data curation. (Modèles d'apprentissage profond pour le nettoyage des données tabulaires). Sorbonne University, Paris, France, 2022 - 2021
- [c4]Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan:
EmbDI: Generating Embeddings for Relational Data Integration (Discussion Paper). SEBD 2021: 331-338 - 2020
- [c3]Riccardo Cappuzzo
, Paolo Papotti, Saravanan Thirumuruganathan:
Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks. SIGMOD Conference 2020: 1335-1349
2010 – 2019
- 2019
- [i1]Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan:
Local Embeddings for Relational Data Integration. CoRR abs/1909.01120 (2019) - 2018
- [c2]Beniamino Di Martino, Salvatore D'Angelo, Antonio Esposito, Riccardo Cappuzzo, Anderson Santana de Oliveira:
ROCK Algorithm Parallelization with TOREADOR Primitives. AINA Workshops 2018: 402-407 - [c1]Riccardo Cappuzzo:
On improving ROCK-based clustering for categorical data: student research abstract. SAC 2018: 499-500
Coauthor Index
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