Alceu de Souza Britto Jr
Alceu de Souza Britto Jr
Professor of Computer Science, Pontifical Catholic University of Parana
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From dynamic classifier selection to dynamic ensemble selection
AHR Ko, R Sabourin, AS Britto Jr
Pattern recognition 41 (5), 1718-1731, 2008
Dynamic selection of classifiers—a comprehensive review
AS Britto Jr, R Sabourin, LES Oliveira
Pattern recognition 47 (11), 3665-3680, 2014
PKLot–A robust dataset for parking lot classification
PRL De Almeida, LS Oliveira, AS Britto Jr, EJ Silva Jr, AL Koerich
Expert Systems with Applications 42 (11), 4937-4949, 2015
Fusion of feature sets and classifiers for facial expression recognition
THH Zavaschi, AS Britto Jr, LES Oliveira, AL Koerich
Expert Systems with Applications 40 (2), 646-655, 2013
Forest species recognition using macroscopic images
PLP Filho, LS Oliveira, S Nisgoski, AS Britto
Machine Vision and Applications 25, 1019-1031, 2014
Adapting dynamic classifier selection for concept drift
PRL Almeida, LS Oliveira, AS Britto Jr, R Sabourin
Expert Systems with Applications 104, 67-85, 2018
A flexible hierarchical approach for facial age estimation based on multiple features
JK Pontes, AS Britto Jr, C Fookes, AL Koerich
Pattern Recognition 54, 34-51, 2016
The recognition of handwritten numeral strings using a two-stage HMM-based method
A de S. Britto Jr, R Sabourin, F Bortolozzi, CY Suen
International Journal on Document Analysis and Recognition 5 (2), 102-117, 2003
Pairwise fusion matrix for combining classifiers
AHR Ko, R Sabourin, AS Britto, L Oliveira
Pattern recognition 40 (8), 2198-2210, 2007
Recent advances in handwriting recognition
F Bortolozzi, A de Souza Britto Jr, LS Oliveira, M Morita
Document analysis, 1-31, 2005
Filtering segmentation cuts for digit string recognition
E Vellasques, LS Oliveira, AS Britto Jr, AL Koerich, R Sabourin
Pattern Recognition 41 (10), 3044-3053, 2008
Double transfer learning for breast cancer histopathologic image classification
J De Matos, AS Britto, LES Oliveira, AL Koerich
2019 international joint conference on neural networks (IJCNN), 1-8, 2019
Handwritten digit segmentation: a comparative study
FC Ribas, LS Oliveira, AS Britto Jr, R Sabourin
international journal on document analysis and recognition (IJDAR) 16 (2 …, 2013
Handwritten digit segmentation: Is it still necessary?
AG Hochuli, LS Oliveira, AS Britto Jr, R Sabourin
Pattern Recognition 78, 1-11, 2018
2D principal component analysis for face and facial-expression recognition
L Oliveira, M Mansano, A Koerich, A de Souza Britto
Computing in Science & Engineering 13 (3), 9-13, 2010
Wood defect detection using grayscale images and an optimized feature set
P Cavalin, LS Oliveira, AL Koerich, AS Britto
IECON 2006-32nd Annual Conference on IEEE Industrial Electronics, 3408-3412, 2006
Foreground and background information in an HMM-based method for recognition of isolated characters and numeral strings
AS Britto, R Sabourin, F Bortolozzi, CY Suen
Ninth International Workshop on Frontiers in Handwriting Recognition, 371-376, 2004
A framework for dynamic classifier selection oriented by the classification problem difficulty
AL Brun, AS Britto Jr, LS Oliveira, F Enembreck, R Sabourin
Pattern Recognition 76, 175-190, 2018
A two-stage HMM-based system for recognizing handwritten numeral strings
A Britto, R Sabourin, F Bortolozzi, CY Suen
Proceedings of Sixth International Conference on Document Analysis and …, 2001
An implicit segmentation-based method for recognition of handwritten strings of characters
PR Cavalin, A de Souza Britto Jr, F Bortolozzi, R Sabourin, LES Oliveira
Proceedings of the 2006 ACM symposium on Applied computing, 836-840, 2006
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