Thiago Salles

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	Total	Desde 2019
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Marcos Andre GoncalvesComputer Science Professor, Universidade Federal de Minas Gerais, BrazilDirección de correo verificada de dcc.ufmg.br
Leonardo Chaves Dutra da RochaProfessor of Computer Science, Federal University of São João Del ReiDirección de correo verificada de ufsj.edu.br
Wagner Meira, Jr.Professor of Computer Science, Universidade Federal de Minas Gerais, BrazilDirección de correo verificada de dcc.ufmg.br
fernando mouraoSEEK AIDirección de correo verificada de catho.com
Felipe ViegasUniversidade Federal de Minas GeraisDirección de correo verificada de dcc.ufmg.br
Sérgio CanutoUniversidade Federal de Minas GeraisDirección de correo verificada de dcc.ufmg.br
Gisele L. PappaComputer Science, Universidade Federal de Minas GeraisDirección de correo verificada de dcc.ufmg.br
Isac Sandin RibeiroMsc student in Computer Science, Federal University of Minas GeraisDirección de correo verificada de ufmg.br
Hilton de Oliveira MotaUniversidade Federal de Minas GeraisDirección de correo verificada de cpdee.ufmg.br
Alberto H. F. LaenderProfessor of Computer Science, Universidade Federal de Minas Gerais, BrazilDirección de correo verificada de dcc.ufmg.br
Darlinton CarvalhoUFSJDirección de correo verificada de acm.org
Eli CortezMicrosoftDirección de correo verificada de microsoft.com
Mirella M. MoroUniversidade Federal de Minas GeraisDirección de correo verificada de dcc.ufmg.br
Clodoveu DavisProfessor, Department of Computer Science, Universidade Federal de Minas Gerais (UFMG)Dirección de correo verificada de dcc.ufmg.br
Altigran Soares da SilvaProfessor of Computer Science, Universidade Federal do AmazonasDirección de correo verificada de icomp.ufam.edu.br
Daniel Hasan DalipCEFET-MGDirección de correo verificada de decom.cefetmg.br
Jussara M. AlmeidaDepartment of Computer Science, Federal University of Minas Gerais, BrazilDirección de correo verificada de dcc.ufmg.br
Daniel Ratton FigueiredoFederal University of Rio de Janeiro (UFRJ)Dirección de correo verificada de cos.ufrj.br
Raphael Rodrigues CamposGoogleDirección de correo verificada de google.com
Amir KhatibiPostdoctoral Researcher FAPESPDirección de correo verificada de dcc.ufmg.br

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Thiago Salles

Universidade Federal de Minas Gerais / IBM Watson Group

Dirección de correo verificada de dcc.ufmg.br - Página principal

Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Word co-occurrence features for text classification F Figueiredo, L Rocha, T Couto, T Salles, MA Gonçalves, W Meira Jr Information Systems 36 (5), 843-858, 2011	165	2011
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	97	2018
Partial discharge signal denoising with spatially adaptive wavelet thresholding and support vector machines H de Oliveira Mota, LCD da Rocha, TC de Moura Salles, FH Vasconcelos Electric Power Systems Research 81 (2), 644-659, 2011	91	2011
Improving random forests by neighborhood projection for effective text classification T Salles, M Gonçalves, V Rodrigues, L Rocha Information Systems 77, 1-21, 2018	75	2018
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	74	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	55	2020
Temporally-aware algorithms for document classification T Salles, L Rocha, GL Pappa, F Mourão, W Meira Jr, M Gonçalves Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010	52	2010
Broof: exploiting out-of-bag errors, boosting and random forests for effective automated classification T Salles, M Gonçalves, V Rodrigues, L Rocha Proceedings of the 38th international ACM SIGIR conference on research and …, 2015	33	2015
Stacking bagged and boosted forests for effective automated classification R Campos, S Canuto, T Salles, CCA de Sá, MA Gonçalves Proceedings of the 40th international ACM SIGIR conference on research and …, 2017	30	2017
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	27	2012
High rates of submicroscopic aberrations in karyotypically normal acute lymphoblastic leukemia MAK Othman, JB Melo, IM Carreira, M Rincic, A Glaser, B Grygalewicz, ... Molecular Cytogenetics 8, 1-12, 2015	25	2015
Temporal contexts: Effective text classification in evolving document collections L Rocha, F Mourão, H Mota, T Salles, MA Gonçalves, W Meira Jr Information Systems 38 (3), 388-409, 2013	25	2013
Molecular characterization of pediatric acute myeloid leukemia: results of a multicentric study in Brazil FG Andrade, EP Noronha, GD Brisson, FSV Bueno, IS Cezar, ... Archives of Medical Research 47 (8), 656-667, 2016	24	2016
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	21	2018
On efficient meta-level features for effective text classification S Canuto, T Salles, MA Gonçalves, L Rocha, G Ramos, L Gonçalves, ... Proceedings of the 23rd ACM International Conference on Conference on …, 2014	20	2014
Automatic document classification temporally robust T Salles, L Rocha, F Mourao, GL Pappa, L Cunha, MA Gonçalves, ... Journal of Information and Data Management 1 (2), 199-199, 2010	20	2010
Generalized BROOF-L2R: a general framework for learning to rank based on boosting and random forests CCA de Sá, MA Gonçalves, DX Sousa, T Salles Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016	19	2016
Similarity-based synthetic document representations for meta-feature generation in text classification S Canuto, T Salles, TC Rosa, MA Gonçalves Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019	18	2019
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	17	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	14	2018

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