Sérgio D. Canuto

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 21

Top Topics

Text Classification

Sentiment Analysis

Noise Filtering

Top Venues

Inf. Process. Manag.

IEEE Trans. Knowl. Data Eng.

Publications

Felipe Viegas, Sérgio D. Canuto, Washington Cunha, Celso França, Cláudio M. V. de Andrade, Guilherme Fonseca, Ana Machado, Leonardo Rocha, Marcos André Gonçalves
Pipelining Semantic Expansion and Noise Filtering for Sentiment Analysis of Short Documents - CluSent Method. J. Interact. Syst. 15 (1) (2024)
Welton Santos, Washington Cunha, Celso França, Guilherme Fonseca, Sérgio D. Canuto, Leonardo Rocha, Marcos André Gonçalves
Uma Metodologia para Tratamento do Viés da Maioria em Modelos de Stacking via Identificação de Documentos Difíceis. SBBD (2023)
Felipe Viegas, Sérgio D. Canuto, Washington Cunha, Celso França, Cláudio Moisés Valiense de Andrade, Leonardo Rocha, Marcos André Gonçalves
CluSent - Combining Semantic Expansion and De-Noising for Dataset-Oriented Sentiment Analysis of Short Texts. WebMedia (2023)
Christian Gomes, Marcos André Gonçalves, Leonardo Rocha, Sérgio D. Canuto
On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction. ACL/IJCNLP (Findings) (2021)
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, Marcos André Gonçalves
On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study. Inf. Process. Manag. 58 (3) (2021)
Felipe Viegas, Mário S. Alvim, Sérgio D. Canuto, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha
Exploiting semantic relationships for unsupervised expansion of sentiment lexicons. Inf. Syst. 94 (2020)
Washington Cunha, Sérgio D. Canuto, Felipe Viegas, Thiago Salles, Christian Gomes, Vítor Mangaravite, Elaine Resende, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha
Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling. Inf. Process. Manag. 57 (4) (2020)
Gustavo Oliveira de Siqueira, Sérgio D. Canuto, Marcos André Gonçalves, Alberto H. F. Laender
A pragmatic approach to hierarchical categorization of research expertise in the presence of scarce information. Int. J. Digit. Libr. 21 (1) (2020)
Felipe Viegas, Sérgio D. Canuto, Christian Gomes, Washington Luiz, Thierson Rosa, Sabir Ribas, Leonardo Rocha, Marcos André Gonçalves
CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling. WSDM (2019)
Daniel Xavier de Sousa, Sérgio D. Canuto, Marcos André Gonçalves, Thierson Couto Rosa, Wellington Santos Martins
Risk-Sensitive Learning to Rank with Evolutionary Multi-Objective Feature Selection. ACM Trans. Inf. Syst. 37 (2) (2019)
Gustavo Penha, Raphael R. Campos, Sérgio D. Canuto, Marcos André Gonçalves, Rodrygo L. T. Santos
Document Performance Prediction for Automatic Text Classification. ECIR (2) (2019)
Sérgio D. Canuto, Thiago Salles, Thierson Couto Rosa, Marcos André Gonçalves
Similarity-Based Synthetic Document Representations for Meta-Feature Generation in Text Classification. SIGIR (2019)
Fabiano Belém, Alexandre Maros, Sérgio D. Canuto, Rodrigo Silva, Jussara M. Almeida, Marcos André Gonçalves
Image Aesthetics and its Effects on Product Clicks in E-Commerce Search. eCOM@SIGIR (2019)
Felipe Viegas, Washington Luiz, Christian Gomes, Amir Khatibi, Sérgio D. Canuto, Fernando Mourão, Thiago Salles, Leonardo Rocha, Marcos André Gonçalves
Semantically-Enhanced Topic Modeling. CIKM (2018)
Sérgio D. Canuto, Daniel Xavier de Sousa, Marcos André Gonçalves, Thierson Couto Rosa
A Thorough Evaluation of Distance-Based Meta-Features for Automated Text Classification. IEEE Trans. Knowl. Data Eng. 30 (12) (2018)
Gustavo Oliveira de Siqueira, Sérgio D. Canuto, Marcos André Gonçalves, Alberto H. F. Laender
Automatic Hierarchical Categorization of Research Expertise Using Minimum Information. TPDL (2017)
Thiago N. C. Cardoso, Rodrigo M. Silva, Sérgio D. Canuto, Mirella M. Moro, Marcos André Gonçalves
Ranked batch-mode active learning. Inf. Sci. 379 (2017)
Raphael R. Campos, Sérgio D. Canuto, Thiago Salles, Clebson C. A. de Sá, Marcos André Gonçalves
Stacking Bagged and Boosted Forests for Effective Automated Classification. SIGIR (2017)
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 Munoz, Lin Li, Ricardo da Silva Torres
Rank Fusion and Multimodal Per-topic Adaptiveness for Diverse Image Retrieval. MediaEval (2017)
Sérgio D. Canuto, Marcos André Gonçalves, Fabrício Benevenuto
Exploiting New Sentiment-Based Meta-level Features for Effective Sentiment Analysis. WSDM (2016)
Guilherme Dal Bianco, Renata Galante, Carlos A. Heuser, Marcos André Gonçalves, Sérgio D. Canuto
A practical and effective sampling selection strategy for large scale deduplication. ICDE (2016)
Sérgio D. Canuto, Marcos André Gonçalves, Wisllay M. V. dos Santos, Thierson Couto Rosa, Wellington Martins
An Efficient and Scalable MetaFeature-based Document Classification Approach based on Massively Parallel Computing. SIGIR (2015)
Guilherme Dal Bianco, Renata Galante, Marcos André Gonçalves, Sérgio D. Canuto, Carlos Alberto Heuser
A Practical and Effective Sampling Selection Strategy for Large Scale Deduplication. IEEE Trans. Knowl. Data Eng. 27 (9) (2015)
Sérgio D. Canuto, Thiago Salles, Marcos André Gonçalves, Leonardo Rocha, Gabriel Spada Ramos, Luiz Gonçalves, Thierson Couto Rosa, Wellington Santos Martins
On Efficient Meta-Level Features for Effective Text Classification. CIKM (2014)
Sérgio D. Canuto, Fabiano Muniz Belém, Jussara M. Almeida, Marcos André Gonçalves
A Comparative Study of Learning-to-Rank Techniques for Tag Recommendation. J. Inf. Data Manag. 4 (3) (2013)
Sérgio D. Canuto, Guilherme Dal Bianco, Marcos André Gonçalves, Jussara M. Almeida, Thierson Couto
UDRB: Uma Nova Heurística Eficaz para Deduplicação de Referências Bibliográficas. SBBD (Short Papers) (2013)