Felipe Viegas

发表

CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling

Marcos André Gonçalves, Leonardo C. da Rocha, Felipe Viegas, 2019, WSDM.

Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification

Marcos André Gonçalves, Leonardo C. da Rocha, Felipe Viegas, 2015, CIKM.

Semantically-Enhanced Topic Modeling

Marcos André Gonçalves, Fernando Mourão, Leonardo C. da Rocha, 2018, CIKM.

A Feature-Oriented Sentiment Rating for Mobile App Reviews

Marcos André Gonçalves, Fernando Mourão, Leonardo C. da Rocha, 2018, WWW.

A Two-Stage Machine learning approach for temporally-robust text classification

Wagner Meira, Marcos André Gonçalves, Fernando Mourão, 2017, Inf. Syst..

Exploiting semantic relationships for unsupervised expansion of sentiment lexicons

Mário S. Alvim, Marcos André Gonçalves, Leonardo C. da Rocha, 2020, Inf. Syst..

Aggressive and effective feature selection using genetic programming

Marcos André Gonçalves, Leonardo C. da Rocha, Guilherme Andrade, 2012, 2012 IEEE Congress on Evolutionary Computation.

A quantitative analysis of the temporal effects on automatic text classification

Jussara M. Almeida, Wagner Meira, Marcos André Gonçalves, 2016, J. Assoc. Inf. Sci. Technol..

CluHTM - Semantic Hierarchical Topic Modeling based on CluWords

Marcos André Gonçalves, Antônio Pereira, Leonardo C. da Rocha, 2020, ACL.

Fast CUDA-based Implementations of Automatic Document Classification Algorithms

Guilherme Andrade, Felipe Viegas, Gabriel Ramos, 2014 .

Exploiting efficient and effective lazy Semi-Bayesian strategies for text classification

Marcos André Gonçalves, Leonardo C. da Rocha, Felipe Viegas, 2018, Neurocomputing.

G-KNN: an efficient document classification algorithm for sparse datasets on GPUs using KNN

Marcos André Gonçalves, Rafael Sachetto Oliveira, Rodrigo Chaves, 2015, SAC.

Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling

Marcos André Gonçalves, Felipe Viegas, Sérgio D. Canuto, 2020, Inf. Process. Manag..

NetClass: A network-based relational model for document classification

Srinivasan Parthasarathy, Wagner Meira, Marcos André Gonçalves, 2018, Inf. Sci..

A Genetic Programming approach for feature selection in highly dimensional skewed data

Marcos André Gonçalves, Giovanni Sá, Fernando Mourão, 2018, Neurocomputing.

GPU-NB: A Fast CUDA-Based Implementation of Naïve Bayes

Jussara M. Almeida, Marcos André Gonçalves, Leonardo C. da Rocha, 2013, 2013 25th International Symposium on Computer Architecture and High Performance Computing.

PCV50 Automatic Classification of Electronic Health Records for a Value-Based Program through Machine Learning

Felipe Viegas, Washington Luiz, B. Zanotto, 2021 .

An Article-Oriented Framework for Automatic Semantic Analysis of COVID-19 Researches

Felipe Viegas, Leonardo Rocha, Elisa Tuler, 2021, ICCSA.

On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study

Jussara M. Almeida, Leonardo C. da Rocha, Felipe Viegas, 2021, Inf. Process. Manag..