| Explaining link prediction systems based on knowledge graph embeddings A Rossi, D Firmani, P Merialdo, T Teofili Proceedings of the 2022 international conference on management of data, 2062 …, 2022 | 37 | 2022 |
| Text mining in remotely sensed phenology studies: A review on research development, main topics, and emerging issues S Bajocco, E Raparelli, T Teofili, M Bascietto, C Ricotta Remote Sensing 11 (23), 2751, 2019 | 18 | 2019 |
| Effective explanations for entity resolution models T Teofili, D Firmani, N Koudas, V Martello, P Merialdo, D Srivastava 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2709-2721, 2022 | 12 | 2022 |
| Vector search with OpenAI embeddings: Lucene is all you need J Xian, T Teofili, R Pradeep, J Lin Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 10 | 2024 |
| Deep learning for search T Teofili Simon and Schuster, 2019 | 9 | 2019 |
| TrustyAI explainability toolkit R Geada, T Teofili, R Vieira, R Whitworth, D Zonca arXiv preprint arXiv:2104.12717, 2021 | 8 | 2021 |
| par2hier: towards vector representations for hierarchical content T Teofili Procedia Computer Science 108, 2343-2347, 2017 | 5 | 2017 |
| Lucene for approximate nearest-neighbors search on arbitrary dense vectors T Teofili, J Lin arXiv preprint arXiv:1910.10208, 2019 | 4 | 2019 |
| Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes X Ma, T Teofili, J Lin Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 3 | 2023 |
| Kelpie: an explainability framework for embedding-based link prediction models A Rossi, D Firmani, P Merialdo, T Teofili Proceedings of the VLDB Endowment 15 (12), 3566-3569, 2022 | 3 | 2022 |
| Affect enriched word embeddings for news information retrieval T Teofili, N Chhaya arXiv preprint arXiv:1909.01772, 2019 | 3 | 2019 |
| Efficient replication of hierarchical structures A Sanso, T Teofili US Patent App. 14/334,279, 2016 | 2 | 2016 |
| CERTEM: explaining and debugging black-box entity resolution systems with CERTA T Teofili, D Firmani, N Koudas, P Merialdo, D Srivastava Proceedings of the VLDB Endowment 15 (12), 3642-3645, 2022 | 1 | 2022 |
| Searching Dense Representations with Inverted Indexes J Lin, T Teofili arXiv preprint arXiv:2312.01556, 2023 | | 2023 |
| Generating optimized model explanations T Teofili, D Zonca US Patent App. 17/557,444, 2023 | | 2023 |
| Document replication based on distributional semantics T Teofili, A Sanso US Patent 11,487,709, 2022 | | 2022 |
| Application of local interpretable model-agnostic explanations on decision services D Zonca, T Teofili US Patent App. 17/240,631, 2022 | | 2022 |
| Application of local interpretable model-agnostic explanations on decision systems without training data D Zonca, T Teofili US Patent App. 17/235,688, 2022 | | 2022 |
| Controlled publication of sensitive data within an established timeframe A Sanso, T Teofili US Patent 11,361,096, 2022 | | 2022 |
| Explaining Link Prediction with Kelpie. A Rossi, D Firmani, P Merialdo, T Teofili SEBD, 191-198, 2022 | | 2022 |
Paolo MerialdoProfessor, Università Roma TreVerified email at uniroma3.it
