Sérgio D. Canuto

According to our database, Sérgio D. Canuto authored at least 26 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Marcos André Gonçalves

Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

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, Marcos André Gonçalves

Proceedings of the 38th Brazilian Symposium on Databases, 2023

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, Marcos André Gonçalves

Inf. Process. Manag., 2021

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, Sérgio D. Canuto

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

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

Exploiting semantic relationships for unsupervised expansion of sentiment lexicons.

Felipe Viegas, Mário S. Alvim, Sérgio D. Canuto, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha

Inf. Syst., 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

Inf. Process. Manag., 2020

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

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

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, Marcos André Gonçalves

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Similarity-Based Synthetic Document Representations for Meta-Feature Generation in Text Classification.

Sérgio D. Canuto, Thiago Salles, Thierson Couto Rosa, Marcos André Gonçalves

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the SIGIR 2019 Workshop on eCommerce, 2019

Document Performance Prediction for Automatic Text Classification.

Gustavo Penha, Raphael R. Campos, Sérgio D. Canuto, Marcos André Gonçalves, Rodrygo L. T. Santos

Proceedings of the Advances in Information Retrieval, 2019

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

Semantically-Enhanced Topic Modeling.

Felipe Viegas, Washington Luiz, Christian Gomes, Amir Khatibi, Sérgio D. Canuto, Fernando Mourão, Thiago Salles, Leonardo Rocha, Marcos André Gonçalves

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

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

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

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Automatic Hierarchical Categorization of Research Expertise Using Minimum Information.

Gustavo Oliveira de Siqueira, Sérgio D. Canuto, Marcos André Gonçalves, Alberto H. F. Laender

Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

2016

Exploiting New Sentiment-Based Meta-level Features for Effective Sentiment Analysis.

Sérgio D. Canuto, Marcos André Gonçalves, Fabrício Benevenuto

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

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

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

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

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

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

2014

On Efficient Meta-Level Features for Effective Text Classification.

Sérgio D. Canuto, Thiago Salles, Marcos André Gonçalves, Leonardo Rocha, Gabriel Spada Ramos, Luiz Gonçalves, Thierson Couto Rosa, Wellington Santos Martins

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

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

UDRB: Uma Nova Heurística Eficaz para Deduplicação de Referências Bibliográficas.

Sérgio D. Canuto, Guilherme Dal Bianco, Marcos André Gonçalves, Jussara M. Almeida, Thierson Couto

Proceedings of the XXVIII Simpósio Brasileiro de Banco de Dados - Short Papers, Recife, Pernambuco, Brasil, September 30, 2013