Exploiting contexts to deal with uncertainty in classification. - Bianca Zadrozny; Gisele L. Pappa; Wagner Meira Jr.; Marcos André Gonçalves; Leonardo Rocha 001; Thiago Salles (KDD Workshop on Knowledge Discovery from Uncertain Data, 2009)

Classificação Automática de Documentos Robusta Temporalmente. - Thiago Salles; Leonardo Rocha 001; Gisele L. Pappa; Fernando Mourão; Marcos André Gonçalves; Wagner Meira Jr. (SBBD, 2009)

Temporally-aware algorithms for document classification. - Thiago Salles; Leonardo Rocha 001; Gisele L. Pappa; Fernando Mourão; Wagner Meira Jr.; Marcos André Gonçalves (SIGIR, 2010)

Estimating the Credibility of Examples in Automatic Document Classification. - João R. M. Palotti; Thiago Salles; Gisele L. Pappa; Filipe de Lima Arcanjo; Marcos André Gonçalves; Wagner Meira Jr. (J. Inf. Data Manag., 2010)

Automatic Document Classification Temporally Robust. - Thiago Salles; Leonardo Rocha 001; Fernando Mourão; Gisele L. Pappa; Lucas Cunha; Marcos André Gonçalves; Wagner Meira Jr. (J. Inf. Data Manag., 2010)

Assessing documents' credibility with genetic programming. - João Rafael De Moura Palotti; Thiago Salles; Gisele Lobo Pappa; Marcos André Gonçalves; Wagner Meira Jr. (IEEE Congress on Evolutionary Computation, 2011)

Building a research social network from an individual perspective. - Alberto H. F. Laender; Mirella M. Moro; Marcos André Gonçalves; Clodoveu A. Davis Jr.; Altigran Soares da Silva; Allan J. C. Silva; Carolina A. S. Bigonha; Daniel Hasan Dalip; Eduardo M. Barbosa; Eli Cortez; Peterson S. Procópio Jr.; Rafael Odon de Alencar; et al. (JCDL, 2011)

Word co-occurrence features for text classification. - Fábio Figueiredo; Leonardo Rocha 001; Thierson Couto; Thiago Salles; Marcos André Gonçalves; Wagner Meira Jr. (Inf. Syst., 2011)

Tackling Temporal Effects in Automatic Document Classification. - Thiago Salles; Thiago N. C. Cardoso; Vitor Campos de Oliveira; Leonardo Rocha 001; Marcos André Gonçalves (J. Inf. Data Manag., 2011)

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)

UNICAMP-UFMG at MediaEval 2012: Genre Tagging Task. - Jurandy Almeida; Thiago Salles; Eder Ferreira Martins; Otávio Augusto Bizetto Penatti; Ricardo da Silva Torres; Marcos André Gonçalves; Jussara M. Almeida (MediaEval, 2012)

Time-Aware Ranking in Sport Social Networks. - Péterson Sampaio Procópio Júnior; Marcos André Gonçalves; Alberto H. F. Laender; Thiago Salles; Daniel R. Figueiredo 001 (J. Inf. Data Manag., 2012)

Temporal contexts: Effective text classification in evolving document collections. - Leonardo Rocha 001; Fernando Mourão; Hilton de Oliveira Mota; Thiago Salles; Marcos André Gonçalves; Wagner Meira Jr. (Inf. Syst., 2013)

On Efficient Meta-Level Features for Effective Text Classification. - Sérgio D. Canuto; Thiago Salles; Marcos André Gonçalves; Leonardo Rocha 001; Gabriel Spada Ramos; Luiz Gonçalves 001; Thierson Couto Rosa; Wellington Santos Martins (CIKM, 2014)

A genealogy of the work of collector: The document and its image. - Myriam Bahia Lopes; Marcos André Gonçalves; Thiago Salles (Digital Heritage, 2015)

BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification. - Thiago Salles; Marcos André Gonçalves; Victor Rodrigues; Leonardo Rocha 001 (SIGIR, 2015)

Generalized BROOF-L2R: A General Framework for Learning to Rank Based on Boosting and Random Forests. - Clebson C. A. de Sá; Marcos André Gonçalves; Daniel Xavier de Sousa; Thiago Salles (SIGIR, 2016)

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)

Stacking Bagged and Boosted Forests for Effective Automated Classification. - Raphael R. Campos; Sérgio D. Canuto; Thiago Salles; Clebson C. A. de Sá; Marcos André Gonçalves (SIGIR, 2017)

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)

Improving random forests by neighborhood projection for effective text classification. - Thiago Salles; Marcos André Gonçalves; Victor Rodrigues; Leonardo Rocha 001 (Inf. Syst., 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)

Similarity-Based Synthetic Document Representations for Meta-Feature Generation in Text Classification. - Sérgio D. Canuto; Thiago Salles; Thierson Couto Rosa; Marcos André Gonçalves (SIGIR, 2019)

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)

A bias-variance analysis of state-of-the-art random forest text classifiers. - Thiago Salles; Leonardo Rocha 001; Marcos André Gonçalves (Adv. Data Anal. Classif., 2021)

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)

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)