CluHTM - Semantic Hierarchical Topic Modeling based on CluWords. - Felipe Viegas; Washington Cunha; Christian Gomes; Antônio Pereira De Souza Júnior; Leonardo Rocha 001; Marcos André Gonçalves (ACL, 2020)

"Keep it Simple, Lazy" - MetaLazy: A New MetaStrategy for Lazy Text Classification. - Luiz Felipe Mendes; Marcos André Gonçalves; Washington Cunha; Leonardo Rocha 001; Thierson Couto Rosa; Wellington Martins (CIKM, 2020)

Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling. - Washington Cunha; Sérgio D. Canuto; Felipe Viegas; Thiago Salles; Christian Gomes; Vítor Mangaravite; Elaine Resende; Thierson Rosa; Marcos André Gonçalves; Leonardo Rocha 001 (Inf. Process. Manag., 2020)

On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study. - Washington Cunha; Vítor Mangaravite; Christian Gomes; Sérgio D. Canuto; Elaine Resende; Cecilia Nascimento; Felipe Viegas; Celso França; Wellington Santos Martins; Jussara M. Almeida; Thierson Rosa; Leonardo Rocha 001; et al. (Inf. Process. Manag., 2021)

Evaluating Topic Modeling Pre-processing Pipelines for Portuguese Texts. - Antônio Pereira De Souza Júnior; Pablo Cecilio; Felipe Viegas; Washington Cunha; Elisa Tuler de Albergaria; Leonardo Chaves Dutra da Rocha (WebMedia, 2022)

Uma Metodologia para Tratamento do Viés da Maioria em Modelos de Stacking via Identificação de Documentos Difíceis. - Welton Santos; Washington Cunha; Celso França; Guilherme Fonseca; Sérgio D. Canuto; Leonardo Rocha 001; Marcos André Gonçalves (SBBD, 2023)

An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification. - Washington Cunha; Celso França; Guilherme Fonseca; Leonardo Rocha 001; Marcos André Gonçalves (SIGIR, 2023)

CluSent - Combining Semantic Expansion and De-Noising for Dataset-Oriented Sentiment Analysis of Short Texts. - Felipe Viegas; Sérgio D. Canuto; Washington Cunha; Celso França; Cláudio Moisés Valiense de Andrade; Leonardo Rocha 001; Marcos André Gonçalves (WebMedia, 2023)

TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method. - Washington Cunha; Celso França; Leonardo Rocha 001; Marcos André Gonçalves (CoRR, 2023)

A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification. - Washington Cunha; Felipe Viegas; Celso França; Thierson Rosa; Leonardo Rocha 001; Marcos André Gonçalves (ACM Comput. Surv., 2023)

On the class separability of contextual embeddings representations - or "The classifier does not matter when the (text) representation is so good!". - Cláudio Moisés Valiense de Andrade; Fabiano Belém; Washington Cunha; Celso França; Felipe Viegas; Leonardo Rocha 001; Marcos André Gonçalves (Inf. Process. Manag., 2023)

A Quantum Annealing Instance Selection Approach for Efficient and Effective Transformer Fine-Tuning. - Andrea Pasin; Washington Cunha; Marcos André Gonçalves; Nicola Ferro 001 (ICTIR, 2024)

A Quantum Annealing-Based Instance Selection Approach for Transformer Fine-Tuning. - Andrea Pasin; Washington Cunha; Marcos André Gonçalves; Nicola Ferro 001 (IIR, 2024)

A Novel Two-Step Fine-Tuning Pipeline for Cold-Start Active Learning in Text Classification Tasks. - Fabiano Belém; Washington Cunha; Celso França; Cláudio M. V. de Andrade; Leonardo Rocha 001; Marcos André Gonçalves (CoRR, 2024)

Is it a work or leisure travel? Applying text classification to identify work-related travel on social networks. - Lucas Félix; Washington Cunha; Jussara M. Almeida (CoRR, 2024)

PATopics: An automatic framework to extract useful information from pharmaceutical patents documents. - Pablo Cecilio; Antônio Perreira; Juliana Santos Rosa Viegas; Washington Cunha; Felipe Viegas; Elisa Tuler; Fabiana Testa Moura de Carvalho Vicentini; Leonardo Rocha 001 (CoRR, 2024)

A Strategy to Combine 1stGen Transformers and Open LLMs for Automatic Text Classification. - Cláudio M. V. de Andrade; Washington Cunha; Davi Reis; Adriana S. Pagano; Leonardo Rocha 001; Marcos André Gonçalves (CoRR, 2024)

On Representation Learning-based Methods for Effective, Efficient, and Scalable Code Retrieval. - Celso França; Rennan C. Lima; Cláudio M. V. de Andrade; Washington Cunha; Pedro O. S. Vaz de Melo; Berthier A. Ribeiro-Neto; Leonardo Rocha 001; Rodrygo L. T. Santos; Adriana S. Pagano; Marcos André Gonçalves (Neurocomputing, 2024)

Pipelining Semantic Expansion and Noise Filtering for Sentiment Analysis of Short Documents - CluSent Method. - Felipe Viegas; Sérgio D. Canuto; Washington Cunha; Celso França; Cláudio M. V. de Andrade; Guilherme Fonseca; Ana Machado; Leonardo Rocha 001; Marcos André Gonçalves (J. Interact. Syst., 2024)

Instance-Selection-Inspired Undersampling Strategies for Bias Reduction in Small and Large Language Models for Binary Text Classification. - Guilherme Fonseca; Washington Cunha; Gabriel Prenassi; Marcos André Gonçalves; Leonardo Chaves Dutra da Rocha (ACL (1), 2025)

Overview of QuantumCLEF 2025: The Second Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF. - Andrea Pasin; Maurizio Ferrari Dacrema; Washington Cunha; Marcos André Gonçalves; Paolo Cremonesi; Nicola Ferro 001 (CLEF, 2025)

QuantumCLEF 2025 - The Second Edition of the Quantum Computing Lab at CLEF. - Andrea Pasin; Maurizio Ferrari Dacrema; Paolo Cremonesi; Washington Cunha; Marcos André Gonçalves; Nicola Ferro 001 (ECIR (5), 2025)

Optimizing Tail-Head Trade-off for Extreme Multi-Label Text Classification (XMTC) with RAG-Labels and a Dynamic Two-Stage Retrieval and Fusion Pipeline. - Celso França; Gestefane Rabbi; Thiago Salles; Washington Cunha; Leonardo Rocha 001; Marcos André Gonçalves (SIGIR, 2025)

Characterizing YouTube's Role in Online Gambling Promotion: A Case Study of Fortune Tiger in Brazil. - Jessica Costa; Geovana Oliveira; Guilherme Fonseca; Davi Reis; Giancarlo Oliveira Teixeira; Washington Cunha; Leonardo Rocha 001; Carlos H. G. Ferreira 001 (WebSci, 2025)

Why are you traveling? Inferring trip profiles from online reviews and domain-knowledge. - Lucas G. S. Félix; Washington Cunha; Cláudio M. V. de Andrade; Marcos André Gonçalves; Jussara M. Almeida (Online Soc. Networks Media, 2025)

A Noise-Oriented and Redundancy-Aware Instance Selection Framework. - Washington Cunha; Alejandro Moreo Fernández; Andrea Esuli; Fabrizio Sebastiani 001; Leonardo Rocha 001; Marcos André Gonçalves (ACM Trans. Inf. Syst., 2025)

A thorough benchmark of automatic text classification: From traditional approaches to large language models. - Washington Cunha; Leonardo Rocha 001; Marcos André Gonçalves (CoRR, 2025)

CTDGSI: A comprehensive exploitation of instance selection methods for automatic text classification. VII Concurso de Teses, Dissertações e Trabalhos de Graduação em SI - XXI Simpósio Brasileiro de Sistemas de Informação. - Washington Cunha; Leonardo Rocha 001; Marcos André Gonçalves (CoRR, 2025)

Ranking-based Fusion Algorithms for Extreme Multi-label Text Classification (XMTC). - Celso França; Gestefane Rabbi; Thiago Salles; Washington Cunha; Leonardo Rocha 001; Marcos André Gonçalves (CoRR, 2025)