On Compression Techniques for Computing Convolutions. - Eduardo Sany Laber; Pedro Moura; Lucas Pavanelli (DCC, 2016)

LSHSIM: A Locality Sensitive Hashing based method for multiple-point geostatistics. - Pedro Moura; Eduardo Sany Laber; Hélio Lopes 001; Daniel Mesejo; Lucas Pavanelli; João Jardim; Francisco Thiesen; Gabriel Pujol (Comput. Geosci., 2017)

PUCRJ-PUCPR-UFMG at eHealth-KD Challenge 2021: A Multilingual BERT-based System for Joint Entity Recognition and Relation Extraction. - Lucas Pavanelli; Elisa Terumi Rubel Schneider; Yohan Bonescki Gumiel; Thiago Castro Ferreira; Lucas Ferro Antunes de Oliveira; João Vitor Andrioli de Souza; Giovanni Pazini Meneghel Paiva; Lucas Emanuel Silva e Oliveira; Claudia Maria Cabral Moro; Emerson Cabrera Paraiso; Adriana S. Pagano (IberLEF@SEPLN, 2021)

MTLens: Machine Translation Output Debugging. - Shreyas Sharma; Kareem Darwish; Lucas Pavanelli; Thiago Castro Ferreira; Mohamed Al-Badrashiny; Kamer Ali Yuksel; Hassan Sawaf (LREC, 2022)

Bete: A Brazilian Portuguese Dataset for Named Entity Recognition and Relation Extraction in the Diabetes Healthcare Domain. - Lucas Pavanelli; Yohan Bonescki Gumiel; Thiago Castro Ferreira; Adriana S. Pagano; Eduardo Sany Laber (BRACIS (3), 2023)

aiXplain SDK: A High-Level and Standardized Toolkit for AI Assets. - Shreyas Sharma; Lucas Pavanelli; Thiago Castro Ferreira; Mohamed Al-Badrashiny; Hassan Sawaf (INLG, 2024)