Alceu de Souza Britto Jr
Alceu de Souza Britto Jr
Professor of Computer Science, Pontifical Catholic University of Parana
Verified email at ppgia.pucpr.br
Title
Cited by
Cited by
Year
From dynamic classifier selection to dynamic ensemble selection
AHR Ko, R Sabourin, AS Britto Jr
Pattern recognition 41 (5), 1718-1731, 2008
4092008
Dynamic selection of classifiers—a comprehensive review
AS Britto Jr, R Sabourin, LES Oliveira
Pattern recognition 47 (11), 3665-3680, 2014
2742014
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
1982015
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
1432013
Forest species recognition using macroscopic images
PL Paula Filho, LS Oliveira, S Nisgoski, AS Britto
Machine Vision and Applications 25 (4), 1019-1031, 2014
632014
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
622016
Recent advances in handwriting recognition
F Bortolozzi, A de Souza Britto Jr, LS Oliveira, M Morita
Document analysis, 1-31, 2005
622005
Pairwise fusion matrix for combining classifiers
AHR Ko, R Sabourin, AS Britto, L Oliveira
Pattern recognition 40 (8), 2198-2210, 2007
612007
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
612003
Adapting dynamic classifier selection for concept drift
PRL Almeida, LS Oliveira, AS Britto Jr, R Sabourin
Expert Systems with Applications 104, 67-85, 2018
552018
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
552010
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
522004
Handwritten digit segmentation: a comparative study
FC Ribas, LS Oliveira, AS Britto, R Sabourin
International Journal on Document Analysis and Recognition (IJDAR) 16 (2 …, 2013
502013
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
492008
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
442001
Improvement in handwritten numeral string recognition by slant normalization and contextual information
AS Britto, R Sabourin, E Lethelier, F Bortolozzi, CY Suen
Proc. 7th IWFHR, 323-332, 2000
442000
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
432006
Combining diversity and classification accuracy for ensemble selection in random subspaces
AHR Ko, R Sabourin, A de Souza Britto
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
412006
Forest species recognition using color-based features
PL Paula Filho, LS Oliveira, AS Britto, R Sabourin
2010 20th International Conference on Pattern Recognition, 4178-4181, 2010
392010
Handwritten digit segmentation: Is it still necessary?
AG Hochuli, LS Oliveira, AS Britto Jr, R Sabourin
Pattern Recognition 78, 1-11, 2018
362018
The system can't perform the operation now. Try again later.
Articles 1–20