par2hier: towards vector representations for hierarchical content. - Tommaso Teofili (ICCS, 2017)

Affect Enriched Word Embeddings for News Information Retrieval. - Tommaso Teofili; Niyati Chhaya (NewsIR@SIGIR, 2019)

Lucene for Approximate Nearest-Neighbors Search on Arbitrary Dense Vectors. - Tommaso Teofili; Jimmy Lin (CoRR, 2019)

Text Mining in Remotely Sensed Phenology Studies: A Review on Research Development, Main Topics, and Emerging Issues. - Sofia Bajocco; Elisabetta Raparelli; Tommaso Teofili; Marco Bascietto; Carlo Ricotta (Remote. Sens., 2019)

TrustyAI Explainability Toolkit. - Rob Geada; Tommaso Teofili; Rui Vieira; Rebecca Whitworth; Daniele Zonca (CoRR, 2021)

Effective Explanations for Entity Resolution Models. - Tommaso Teofili; Donatella Firmani; Nick Koudas; Vincenzo Martello; Paolo Merialdo; Divesh Srivastava (ICDE, 2022)

Explaining Link Prediction with Kelpie. - Andrea Rossi 002; Donatella Firmani; Paolo Merialdo; Tommaso Teofili (SEBD, 2022)

Explaining Link Prediction Systems based on Knowledge Graph Embeddings. - Andrea Rossi 002; Donatella Firmani; Paolo Merialdo; Tommaso Teofili (SIGMOD Conference, 2022)

Kelpie: an Explainability Framework for Embedding-based Link Prediction Models. - Andrea Rossi 002; Donatella Firmani; Paolo Merialdo; Tommaso Teofili (Proc. VLDB Endow., 2022)

CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA. - Tommaso Teofili; Donatella Firmani; Nick Koudas; Paolo Merialdo; Divesh Srivastava (Proc. VLDB Endow., 2022)

Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes. - Xueguang Ma; Tommaso Teofili; Jimmy Lin (CIKM, 2023)

Searching Dense Representations with Inverted Indexes. - Jimmy Lin; Tommaso Teofili (CoRR, 2023)

Vector Search with OpenAI Embeddings: Lucene Is All You Need. - Jasper Xian; Tommaso Teofili; Ronak Pradeep; Jimmy Lin (WSDM, 2024)

Patience in Proximity: A Simple Early Termination Strategy for HNSW Graph Traversal in Approximate k-Nearest Neighbor Search. - Tommaso Teofili; Jimmy Lin (ECIR (3), 2025)

Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini. - Jimmy Lin; Arthur Haonan Chen; Carlos Lassance; Xueguang Ma; Ronak Pradeep; Tommaso Teofili; Jasper Xian; Jheng-Hong Yang; Brayden Zhong; Vincent Zhong (SIGIR, 2025)