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2020 – today
- 2024
[c7]Jasper Xian
, Tommaso Teofili, Ronak Pradeep, Jimmy Lin:
Vector Search with OpenAI Embeddings: Lucene Is All You Need. WSDM 2024: 1090-1093- 2023
- [c6]Xueguang Ma, Tommaso Teofili, Jimmy Lin:
Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes. CIKM 2023: 5366-5370 - [i7]Xueguang Ma, Tommaso Teofili, Jimmy Lin:
Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes. CoRR abs/2304.12139 (2023) - [i6]Jimmy Lin, Ronak Pradeep, Tommaso Teofili, Jasper Xian:
Vector Search with OpenAI Embeddings: Lucene Is All You Need. CoRR abs/2308.14963 (2023) - [i5]Jimmy Lin, Tommaso Teofili:
Searching Dense Representations with Inverted Indexes. CoRR abs/2312.01556 (2023) - 2022
- [j3]Andrea Rossi, Donatella Firmani, Paolo Merialdo, Tommaso Teofili:
Kelpie: an Explainability Framework for Embedding-based Link Prediction Models. Proc. VLDB Endow. 15(12): 3566-3569 (2022) - [j2]Tommaso Teofili, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava:
CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA. Proc. VLDB Endow. 15(12): 3642-3645 (2022) - [c5]Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava:
Effective Explanations for Entity Resolution Models. ICDE 2022: 2709-2721 - [c4]Andrea Rossi, Donatella Firmani, Paolo Merialdo, Tommaso Teofili:
Explaining Link Prediction with Kelpie. SEBD 2022: 191-198 - [c3]Andrea Rossi, Donatella Firmani, Paolo Merialdo, Tommaso Teofili:
Explaining Link Prediction Systems based on Knowledge Graph Embeddings. SIGMOD Conference 2022: 2062-2075 - [i4]Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava:
Effective Explanations for Entity Resolution Models. CoRR abs/2203.12978 (2022) - 2021
- [i3]Rob Geada, Tommaso Teofili, Rui Vieira, Rebecca Whitworth, Daniele Zonca:
TrustyAI Explainability Toolkit. CoRR abs/2104.12717 (2021)
2010 – 2019
- 2019
- [j1]Sofia Bajocco, Elisabetta Raparelli, Tommaso Teofili, Marco Bascietto, Carlo Ricotta:
Text Mining in Remotely Sensed Phenology Studies: A Review on Research Development, Main Topics, and Emerging Issues. Remote. Sens. 11(23): 2751 (2019) - [c2]Tommaso Teofili, Niyati Chhaya:
Affect Enriched Word Embeddings for News Information Retrieval. NewsIR@SIGIR 2019: 63-68 - [i2]Tommaso Teofili, Niyati Chhaya:
Affect Enriched Word Embeddings for News Information Retrieval. CoRR abs/1909.01772 (2019) - [i1]Tommaso Teofili, Jimmy Lin:
Lucene for Approximate Nearest-Neighbors Search on Arbitrary Dense Vectors. CoRR abs/1910.10208 (2019) - 2017
- [c1]Tommaso Teofili:
par2hier: towards vector representations for hierarchical content. ICCS 2017: 2343-2347
Coauthor Index
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