Felipe Viegas
Felipe Viegas
Потвърден имейл адрес: dcc.ufmg.br
A genetic programming approach for feature selection in highly dimensional skewed data
F Viegas, L Rocha, M Gonçalves, F Mourão, G Sá, T Salles, G Andrade, ...
Neurocomputing 273, 554-569, 2018
Design of experiments (DoE) to develop and to optimize nanoparticles as drug delivery systems
MT Luiz, JSR Viegas, JP Abriata, F Viegas, FTM de Carvalho Vicentini, ...
European Journal of Pharmaceutics and Biopharmaceutics 165, 127-148, 2021
CluWords: exploiting semantic word clustering representation for enhanced topic modeling
F Viegas, S Canuto, C Gomes, W Luiz, T Rosa, S Ribas, L Rocha, ...
Proceedings of the twelfth ACM international conference on web search and …, 2019
On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study
W Cunha, V Mangaravite, C Gomes, S Canuto, E Resende, C Nascimento, ...
Information Processing & Management 58 (3), 102481, 2021
A feature-oriented sentiment rating for mobile app reviews
W Luiz, F Viegas, R Alencar, F Mourão, T Salles, D Carvalho, ...
Proceedings of the 2018 world wide web conference, 1909-1918, 2018
Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling
W Cunha, S Canuto, F Viegas, T Salles, C Gomes, V Mangaravite, ...
Information Processing & Management 57 (4), 102263, 2020
Cluhtm-semantic hierarchical topic modeling based on cluwords
F Viegas, W Cunha, C Gomes, A Pereira, L Rocha, M Goncalves
Proceedings of the 58th annual meeting of the association for computational …, 2020
GPU-NB: a fast CUDA-based implementation of naive bayes
G Andrade, F Viegas, GS Ramos, J Almeida, L Rocha, M Gonçalves, ...
2013 25th International Symposium on Computer Architecture and High …, 2013
Aggressive and effective feature selection using genetic programming
I Sandin, G Andrade, F Viegas, D Madeira, L Rocha, T Salles, ...
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification
W Cunha, F Viegas, C França, T Rosa, L Rocha, MA Gonçalves
ACM Computing Surveys 55 (13s), 1-52, 2023
Exploiting semantic relationships for unsupervised expansion of sentiment lexicons
F Viegas, MS Alvim, S Canuto, T Rosa, MA Gonçalves, L Rocha
Information Systems 94, 101606, 2020
Semantically-enhanced topic modeling
F Viegas, W Luiz, C Gomes, A Khatibi, S Canuto, F Mourão, T Salles, ...
Proceedings of the 27th ACM international conference on information and …, 2018
A two-stage machine learning approach for temporally-robust text classification
T Salles, L Rocha, F Mourão, M Gonçalves, F Viegas, W Meira Jr
Information Systems 69, 40-58, 2017
Exploiting efficient and effective lazy Semi-Bayesian strategies for text classification
F Viegas, L Rocha, E Resende, T Salles, W Martins, MF e Freitas, ...
Neurocomputing 307, 153-171, 2018
Parallel lazy semi-naive bayes strategies for effective and efficient document classification
F Viegas, MA Gonçalves, W Martins, L Rocha
Proceedings of the 24th ACM International on Conference on Information and …, 2015
A quantitative analysis of the temporal effects on automatic text classification
T Salles, L Rocha, MA Gonçalves, JM Almeida, F Mourão, W Meira Jr, ...
Journal of the Association for Information Science and Technology 67 (7 …, 2016
G-knn: an efficient document classification algorithm for sparse datasets on gpus using knn
L Rocha, G Ramos, R Chaves, R Sachetto, D Madeira, F Viegas, ...
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 1335-1338, 2015
On the class separability of contextual embeddings representations–or “the classifier does not matter when the (text) representation is so good!”
CMV de Andrade, FM Belem, W Cunha, C França, F Viegas, L Rocha, ...
Information Processing & Management 60 (4), 103336, 2023
Stroke outcome measurements from electronic medical records: cross-sectional study on the effectiveness of neural and nonneural classifiers
BS Zanotto, AP Beck da Silva Etges, A Dal Bosco, EG Cortes, R Ruschel, ...
JMIR Medical Informatics 9 (11), e29120, 2021
Semantic Academic Profiler (SAP): a framework for researcher assessment based on semantic topic modeling
F Viegas, A Pereira, P Cecílio, E Tuler, W Meira Jr, M Gonçalves, L Rocha
Scientometrics 127 (8), 5005-5026, 2022
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