138 citations · 138 across the 2 of their papers we have counts for
2 papers
cs.DB2024
Retrieve, Merge, Predict: Augmenting Tables with Data Lakes
Riccardo Cappuzzo, Aimee Coelho, Felix Lefebvre +2
Machine-learning from a disparate set of tables, a data lake, requires assembling features by merging and aggregating tables. Data discovery can extend autoML to data tables by aut…
cs.DB2019★ 138 cited
Local Embeddings for Relational Data Integration
Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan
Deep learning based techniques have been recently used with promising results for data integration problems. Some methods directly use pre-trained embeddings that were trained on a…