Aggressive and effective feature selection using genetic programming. - Isac Sandin; Guilherme Andrade; Felipe Viegas; Daniel Madeira; Leonardo Rocha 001; Thiago Salles; Marcos André Gonçalves (IEEE Congress on Evolutionary Computation, 2012)

GPU-NB: A Fast CUDA-Based Implementation of Naïve Bayes. - Guilherme Andrade; Felipe Viegas; Gabriel Spada Ramos; Jussara M. Almeida; Leonardo Chaves Dutra da Rocha; Marcos André Gonçalves; Renato Ferreira 001 (SBAC-PAD, 2013)

Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification. - Felipe Viegas; Marcos André Gonçalves; Wellington Martins; Leonardo Rocha 001 (CIKM, 2015)

G-KNN: an efficient document classification algorithm for sparse datasets on GPUs using KNN. - Leonardo Rocha 001; Gabriel Spada Ramos; Rodrigo Chaves; Rafael Sachetto Oliveira; Daniel Madeira; Felipe Viegas; Guilherme Andrade; Sérgio Daniel; Marcos André Gonçalves; Renato Ferreira 001 (SAC, 2015)

A quantitative analysis of the temporal effects on automatic text classification. - Thiago Salles; Leonardo Rocha 001; Marcos André Gonçalves; Jussara M. Almeida; Fernando Mourão; Wagner Meira Jr.; Felipe Viegas (J. Assoc. Inf. Sci. Technol., 2016)

A Two-Stage Machine learning approach for temporally-robust text classification. - Thiago Salles; Leonardo Rocha 001; Fernando Mourão; Marcos André Gonçalves; Felipe Viegas; Wagner Meira Jr. (Inf. Syst., 2017)

Semantically-Enhanced Topic Modeling. - Felipe Viegas; Washington Luiz; Christian Gomes; Amir Khatibi; Sérgio D. Canuto; Fernando Mourão; Thiago Salles; Leonardo Rocha 001; Marcos André Gonçalves (CIKM, 2018)

A Feature-Oriented Sentiment Rating for Mobile App Reviews. - Washington Luiz; Felipe Viegas; Rafael Odon de Alencar; Fernando Mourão; Thiago Salles; Dárlinton B. F. Carvalho; Marcos André Gonçalves; Leonardo Rocha 001 (WWW, 2018)

A Genetic Programming approach for feature selection in highly dimensional skewed data. - Felipe Viegas; Leonardo Rocha 001; Marcos André Gonçalves; Fernando Mourão; Giovanni Sá; Thiago Salles; Guilherme Andrade; Isac Sandin (Neurocomputing, 2018)

Exploiting efficient and effective lazy Semi-Bayesian strategies for text classification. - Felipe Viegas; Leonardo Rocha 001; Elaine Resende; Thiago Salles; Wellington Martins; Mateus Ferreira e Freitas; Marcos André Gonçalves (Neurocomputing, 2018)

NetClass: A network-based relational model for document classification. - Fernando Mourão; Leonardo Rocha 001; Felipe Viegas; Thiago Salles; Marcos André Gonçalves; Srinivasan Parthasarathy 001; Wagner Meira Jr. (Inf. Sci., 2018)

CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling. - Felipe Viegas; Sérgio D. Canuto; Christian Gomes; Washington Luiz; Thierson Rosa; Sabir Ribas; Leonardo Rocha 001; Marcos André Gonçalves (WSDM, 2019)

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)

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)

Exploiting semantic relationships for unsupervised expansion of sentiment lexicons. - Felipe Viegas; Mário S. Alvim; Sérgio D. Canuto; Thierson Rosa; Marcos André Gonçalves; Leonardo Rocha 001 (Inf. Syst., 2020)

An Article-Oriented Framework for Automatic Semantic Analysis of COVID-19 Researches. - Antonio Pedro; Antônio Pereira De Souza Júnior; Pablo Cecilio; Nayara Pena; Felipe Viegas; Elisa Tuler; Diego Dias 001; Leonardo Rocha 001 (ICCSA (3), 2021)

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)

Semantic Academic Profiler (SAP): a framework for researcher assessment based on semantic topic modeling. - Felipe Viegas; Antônio Pereira De Souza Júnior; Pablo Cecilio; Elisa Tuler; Wagner Meira Jr.; Marcos André Gonçalves; Leonardo Rocha 001 (Scientometrics, 2022)

Evaluating the Limits of the Current Evaluation Metrics for Topic Modeling. - Antônio Pereira De Souza Júnior; Felipe Viegas; Marcos André Gonçalves; Leonardo Rocha 001 (WebMedia, 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)

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)

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)

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)

"Are the current topic modeling evaluation metrics enough?" Mitigating the limitations of topic modeling evaluation metrics using a multi-perspective game theoretic approach. - Antônio Pereira; Felipe Viegas; Diego Roberto Colombo Dias; Elisa Tuler; Ana Cláudia Machado; Guilherme Fonseca; Marcos André Gonçalves; Leonardo Rocha 001 (Knowl. Based Syst., 2025)