UDRB: Uma Nova Heurística Eficaz para Deduplicação de Referências Bibliográficas. - Sérgio D. Canuto; Guilherme Dal Bianco; Marcos André Gonçalves; Jussara M. Almeida; Thierson Couto (SBBD (Short Papers), 2013)

A Comparative Study of Learning-to-Rank Techniques for Tag Recommendation. - Sérgio D. Canuto; Fabiano Muniz Belém; Jussara M. Almeida; Marcos André Gonçalves (J. Inf. Data Manag., 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)

An Efficient and Scalable MetaFeature-based Document Classification Approach based on Massively Parallel Computing. - Sérgio D. Canuto; Marcos André Gonçalves; Wisllay M. V. dos Santos; Thierson Couto Rosa; Wellington Martins (SIGIR, 2015)

A Practical and Effective Sampling Selection Strategy for Large Scale Deduplication. - Guilherme Dal Bianco; Renata Galante; Marcos André Gonçalves; Sérgio D. Canuto; Carlos Alberto Heuser (IEEE Trans. Knowl. Data Eng., 2015)

Incorporating Risk-Sensitiveness into Feature Selection for Learning to Rank. - Daniel Xavier de Sousa; Sérgio Daniel Canuto; Thierson Couto Rosa; Wellington Santos Martins; Marcos André Gonçalves (CIKM, 2016)

Exploiting New Sentiment-Based Meta-level Features for Effective Sentiment Analysis. - Sérgio D. Canuto; Marcos André Gonçalves; Fabrício Benevenuto (WSDM, 2016)

Automatic Hierarchical Categorization of Research Expertise Using Minimum Information. - Gustavo Oliveira de Siqueira; Sérgio D. Canuto; Marcos André Gonçalves; Alberto H. F. Laender (TPDL, 2017)

Rank Fusion and Multimodal Per-topic Adaptiveness for Diverse Image Retrieval. - Rodrigo Tripodi Calumby; Iago Breno Alves do Carmo Araujo; Felipe Souza Cordeiro; Fabiana Bertoni; Sérgio D. Canuto; Fabiano Belém; Marcos André Gonçalves; Ícaro C. Dourado; Javier A. V. Muñoz; Lin Li; Ricardo da Silva Torres (MediaEval, 2017)

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)

Ranked batch-mode active learning. - Thiago N. C. Cardoso; Rodrigo M. Silva; Sérgio D. Canuto; Mirella M. Moro; Marcos André Gonçalves (Inf. Sci., 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 Thorough Evaluation of Distance-Based Meta-Features for Automated Text Classification. - Sérgio D. Canuto; Daniel Xavier de Sousa; Marcos André Gonçalves; Thierson Couto Rosa (IEEE Trans. Knowl. Data Eng., 2018)

Document Performance Prediction for Automatic Text Classification. - Gustavo Penha; Raphael R. Campos; Sérgio D. Canuto; Marcos André Gonçalves; Rodrygo L. T. Santos (ECIR (2), 2019)

Image Aesthetics and its Effects on Product Clicks in E-Commerce Search. - Fabiano Belém; Alexandre Maros; Sérgio D. Canuto; Rodrigo Silva; Jussara M. Almeida; Marcos André Gonçalves (eCOM@SIGIR, 2019)

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)

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)

Quality assessment of collaboratively-created web content with no manual intervention based on soft multi-view generation. - Luiz Felipe Gonçalves Magalhães; Marcos André Gonçalves; Sérgio Daniel Canuto; Daniel Hasan Dalip; Marco Cristo; Pável Calado (Expert Syst. Appl., 2019)

Risk-Sensitive Learning to Rank with Evolutionary Multi-Objective Feature Selection. - Daniel Xavier de Sousa; Sérgio D. Canuto; Marcos André Gonçalves; Thierson Couto Rosa; Wellington Santos Martins (ACM Trans. Inf. Syst., 2019)

A Thorough exploitation of distance-based meta-features for Automated text classification - Sérgio Daniel Canuto (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)

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)

A pragmatic approach to hierarchical categorization of research expertise in the presence of scarce information. - Gustavo Oliveira de Siqueira; Sérgio D. Canuto; Marcos André Gonçalves; Alberto H. F. Laender (Int. J. Digit. Libr., 2020)

On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction. - Christian Gomes; Marcos André Gonçalves; Leonardo Rocha 001; Sérgio D. Canuto (ACL/IJCNLP (Findings), 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)

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)

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)

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)