Seuraa
Alceu de Souza Britto Jr
Alceu de Souza Britto Jr
Professor of Computer Science, Pontifical Catholic University of Parana
Vahvistettu sähköpostiosoite verkkotunnuksessa ppgia.pucpr.br
Nimike
Viittaukset
Viittaukset
Vuosi
From dynamic classifier selection to dynamic ensemble selection
AHR Ko, R Sabourin, AS Britto Jr
Pattern recognition 41 (5), 1718-1731, 2008
5212008
Dynamic selection of classifiers—a comprehensive review
AS Britto Jr, R Sabourin, LES Oliveira
Pattern recognition 47 (11), 3665-3680, 2014
3582014
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
3012015
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
1622013
Forest species recognition using macroscopic images
PLP Filho, LS Oliveira, S Nisgoski, AS Britto
Machine Vision and Applications 25, 1019-1031, 2014
882014
Adapting dynamic classifier selection for concept drift
PRL Almeida, LS Oliveira, AS Britto Jr, R Sabourin
Expert Systems with Applications 104, 67-85, 2018
862018
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
762016
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
752003
Recent advances in handwriting recognition
F Bortolozzi, A de Souza Britto Jr, LS Oliveira, M Morita
Document analysis, 1-31, 2005
682005
Pairwise fusion matrix for combining classifiers
AHR Ko, R Sabourin, AS Britto, L Oliveira
Pattern recognition 40 (8), 2198-2210, 2007
662007
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
572010
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
562013
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
562008
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
552019
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
552004
Handwritten digit segmentation: Is it still necessary?
AG Hochuli, LS Oliveira, AS Britto Jr, R Sabourin
Pattern Recognition 78, 1-11, 2018
542018
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
522006
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
512006
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
512001
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
502018
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Artikkelit 1–20