Felipe Viegas

26 papers A* 2A 3B 1C 1Misc 1Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
"Are the current topic modeling evaluation metrics enough?" Mitigating the limitations of topic modeling evaluation metrics using a multi-perspective game theoretic approach.
Knowl. Based Syst.
Antônio Pereira, Felipe Viegas, Diego Roberto Colombo Dias, Elisa Tuler, Ana Cláudia Machado, Guilherme Fonseca, Marcos André Gonçalves, Leonardo Rocha
2024 J jnl
PATopics: An automatic framework to extract useful information from pharmaceutical patents documents.
CoRR
Pablo Cecilio, Antônio Perreira, Juliana Santos Rosa Viegas, Washington Cunha, Felipe Viegas, Elisa Tuler, Fabiana Testa Moura de Carvalho Vicentini, Leonardo Rocha
2024 J jnl
Pipelining Semantic Expansion and Noise Filtering for Sentiment Analysis of Short Documents - CluSent Method.
J. Interact. Syst.
Felipe Viegas, Sérgio D. Canuto, Washington Cunha, Celso França, Cláudio M. V. de Andrade, Guilherme Fonseca, Ana Machado, Leonardo Rocha, Marcos André Gonçalves
2023 J jnl
A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification.
ACM Comput. Surv.
Washington Cunha, Felipe Viegas, Celso França, Thierson Rosa, Leonardo Rocha, Marcos André Gonçalves
2023 — conf
CluSent - Combining Semantic Expansion and De-Noising for Dataset-Oriented Sentiment Analysis of Short Texts.
WebMedia
Felipe Viegas, Sérgio D. Canuto, Washington Cunha, Celso França, Cláudio Moisés Valiense de Andrade, Leonardo Rocha, Marcos André Gonçalves
2023 — conf
Evaluating the Limits of the Current Evaluation Metrics for Topic Modeling.
WebMedia
Antônio Pereira De Souza Júnior, Felipe Viegas, Marcos André Gonçalves, Leonardo Rocha
2023 J jnl
On the class separability of contextual embeddings representations - or "The classifier does not matter when the (text) representation is so good!".
Inf. Process. Manag.
Cláudio Moisés Valiense de Andrade, Fabiano Belém, Washington Cunha, Celso França, Felipe Viegas, Leonardo Rocha, Marcos André Gonçalves
2022 — conf
Evaluating Topic Modeling Pre-processing Pipelines for Portuguese Texts.
WebMedia
Antônio Pereira De Souza Júnior, Pablo Cecilio, Felipe Viegas, Washington Cunha, Elisa Tuler de Albergaria, Leonardo Chaves Dutra da Rocha
2022 J jnl
Semantic Academic Profiler (SAP): a framework for researcher assessment based on semantic topic modeling.
Scientometrics
Felipe Viegas, Antônio Pereira De Souza Júnior, Pablo Cecilio, Elisa Tuler, Wagner Meira Jr., Marcos André Gonçalves, Leonardo Rocha
2021 — conf
An Article-Oriented Framework for Automatic Semantic Analysis of COVID-19 Researches.
ICCSA (3)
Antonio Pedro, Antônio Pereira De Souza Júnior, Pablo Cecilio, Nayara Pena, Felipe Viegas, Elisa Tuler, Diego Dias, Leonardo Rocha
2021 J jnl
On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study.
Inf. Process. Manag.
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
2020 A* conf
CluHTM - Semantic Hierarchical Topic Modeling based on CluWords.
ACL
Felipe Viegas, Washington Cunha, Christian Gomes, Antônio Pereira De Souza Júnior, Leonardo Rocha, Marcos André Gonçalves
2020 J jnl
Exploiting semantic relationships for unsupervised expansion of sentiment lexicons.
Inf. Syst.
Felipe Viegas, Mário S. Alvim, Sérgio D. Canuto, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha
2020 J jnl
Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling.
Inf. Process. Manag.
Washington Cunha, Sérgio D. Canuto, Felipe Viegas, Thiago Salles, Christian Gomes, Vítor Mangaravite, Elaine Resende, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha
2019 A conf
CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling.
WSDM
Felipe Viegas, Sérgio D. Canuto, Christian Gomes, Washington Luiz, Thierson Rosa, Sabir Ribas, Leonardo Rocha, Marcos André Gonçalves
2018 A* conf
A Feature-Oriented Sentiment Rating for Mobile App Reviews.
WWW
Washington Luiz, Felipe Viegas, Rafael Odon de Alencar, Fernando Mourão, Thiago Salles, Dárlinton B. F. Carvalho, Marcos André Gonçalves, Leonardo Rocha
2018 J jnl
A Genetic Programming approach for feature selection in highly dimensional skewed data.
Neurocomputing
Felipe Viegas, Leonardo Rocha, Marcos André Gonçalves, Fernando Mourão, Giovanni Sá, Thiago Salles, Guilherme Andrade, Isac Sandin
2018 J jnl
Exploiting efficient and effective lazy Semi-Bayesian strategies for text classification.
Neurocomputing
Felipe Viegas, Leonardo Rocha, Elaine Resende, Thiago Salles, Wellington Martins, Mateus Ferreira e Freitas, Marcos André Gonçalves
2018 J jnl
NetClass: A network-based relational model for document classification.
Inf. Sci.
Fernando Mourão, Leonardo Rocha, Felipe Viegas, Thiago Salles, Marcos André Gonçalves, Srinivasan Parthasarathy, Wagner Meira Jr.
2018 A conf
Semantically-Enhanced Topic Modeling.
CIKM
Felipe Viegas, Washington Luiz, Christian Gomes, Amir Khatibi, Sérgio D. Canuto, Fernando Mourão, Thiago Salles, Leonardo Rocha, Marcos André Gonçalves
2017 J jnl
A Two-Stage Machine learning approach for temporally-robust text classification.
Inf. Syst.
Thiago Salles, Leonardo Rocha, Fernando Mourão, Marcos André Gonçalves, Felipe Viegas, Wagner Meira Jr.
2016 J jnl
A quantitative analysis of the temporal effects on automatic text classification.
J. Assoc. Inf. Sci. Technol.
Thiago Salles, Leonardo Rocha, Marcos André Gonçalves, Jussara M. Almeida, Fernando Mourão, Wagner Meira Jr., Felipe Viegas
2015 Misc conf
G-KNN: an efficient document classification algorithm for sparse datasets on GPUs using KNN.
SAC
Leonardo Rocha, Gabriel Spada Ramos, Rodrigo Chaves, Rafael Sachetto Oliveira, Daniel Madeira, Felipe Viegas, Guilherme Andrade, Sérgio Daniel, Marcos André Gonçalves, Renato Ferreira
2015 A conf
Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification.
CIKM
Felipe Viegas, Marcos André Gonçalves, Wellington Martins, Leonardo Rocha
2013 C conf
GPU-NB: A Fast CUDA-Based Implementation of Naïve Bayes.
SBAC-PAD
Guilherme Andrade, Felipe Viegas, Gabriel Spada Ramos, Jussara M. Almeida, Leonardo Chaves Dutra da Rocha, Marcos André Gonçalves, Renato Ferreira
2012 B conf
Aggressive and effective feature selection using genetic programming.
IEEE Congress on Evolutionary Computation
Isac Sandin, Guilherme Andrade, Felipe Viegas, Daniel Madeira, Leonardo Rocha, Thiago Salles, Marcos André Gonçalves