Tommaso Teofili

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Remotely Sensed

Entity Resolution

Link Prediction

Top Venues

Proc. VLDB Endow.

Publications

Jasper Xian, Tommaso Teofili, Ronak Pradeep, Jimmy Lin
Vector Search with OpenAI Embeddings: Lucene Is All You Need. WSDM (2024)
Jimmy Lin, Tommaso Teofili
Searching Dense Representations with Inverted Indexes. CoRR (2023)
Xueguang Ma, Tommaso Teofili, Jimmy Lin
Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes. CoRR (2023)
Xueguang Ma, Tommaso Teofili, Jimmy Lin
Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes. CIKM (2023)
Jimmy Lin, Ronak Pradeep, Tommaso Teofili, Jasper Xian
Vector Search with OpenAI Embeddings: Lucene Is All You Need. CoRR (2023)
Andrea Rossi, Donatella Firmani, Paolo Merialdo, Tommaso Teofili
Kelpie: an Explainability Framework for Embedding-based Link Prediction Models. Proc. VLDB Endow. 15 (12) (2022)
Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava
Effective Explanations for Entity Resolution Models. CoRR (2022)
Andrea Rossi, Donatella Firmani, Paolo Merialdo, Tommaso Teofili
Explaining Link Prediction with Kelpie. SEBD (2022)
Andrea Rossi, Donatella Firmani, Paolo Merialdo, Tommaso Teofili
Explaining Link Prediction Systems based on Knowledge Graph Embeddings. SIGMOD Conference (2022)
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) (2022)
Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava
Effective Explanations for Entity Resolution Models. ICDE (2022)
Rob Geada, Tommaso Teofili, Rui Vieira, Rebecca Whitworth, Daniele Zonca
TrustyAI Explainability Toolkit. CoRR (2021)
Tommaso Teofili, Jimmy Lin
Lucene for Approximate Nearest-Neighbors Search on Arbitrary Dense Vectors. CoRR (2019)
Tommaso Teofili, Niyati Chhaya
Affect Enriched Word Embeddings for News Information Retrieval. NewsIR@SIGIR (2019)
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) (2019)
Tommaso Teofili, Niyati Chhaya
Affect Enriched Word Embeddings for News Information Retrieval. CoRR (2019)
Tommaso Teofili
par2hier: towards vector representations for hierarchical content. ICCS (2017)