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Bernardete Ribeiro
Bernardete Ribeiro
Professor at Dep of Informatics Engineering, CISUC /University of Coimbra
Verificeret mail på dei.uc.pt - Startside
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År
The importance of stop word removal on recall values in text categorization
C Silva, B Ribeiro
Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003
2982003
Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems
M Figueiredo, A De Almeida, B Ribeiro
Neurocomputing 96, 66-73, 2012
2102012
Financial credit risk assessment: a recent review
N Chen, B Ribeiro, A Chen
Artificial Intelligence Review 45, 1-23, 2016
1772016
Support vector machines for quality monitoring in a plastic injection molding process
B Ribeiro
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2005
1662005
An experimental study on electrical signature identification of non-intrusive load monitoring (nilm) systems
MB Figueiredo, A De Almeida, B Ribeiro
Adaptive and Natural Computing Algorithms: 10th International Conference …, 2011
1312011
Gaussian process classification and active learning with multiple annotators
F Rodrigues, F Pereira, B Ribeiro
International conference on machine learning, 433-441, 2014
1252014
Clustering and visualization of bankruptcy trajectory using self-organizing map
N Chen, B Ribeiro, A Vieira, A Chen
Expert systems with applications 40 (1), 385-393, 2013
1242013
A neural network for shortest path computation
F Araujo, B Ribeiro, L Rodrigues
IEEE Transactions on Neural Networks 12 (5), 1067-1073, 2001
1222001
DENSER: deep evolutionary network structured representation
F Assunção, N Lourenço, P Machado, B Ribeiro
Genetic Programming and Evolvable Machines 20, 5-35, 2019
1212019
A survey on home energy management
J Leitao, P Gil, B Ribeiro, A Cardoso
IEEE Access 8, 5699-5722, 2020
1202020
Image complexity and feature mining for steganalysis of least significant bit matching steganography
Q Liu, AH Sung, B Ribeiro, M Wei, Z Chen, J Xu
Information Sciences 178 (1), 21-36, 2008
1182008
Learning from multiple annotators: distinguishing good from random labelers
F Rodrigues, F Pereira, B Ribeiro
Pattern Recognition Letters 34 (12), 1428-1436, 2013
1152013
Probabilistic modeling and visualization for bankruptcy prediction
F Antunes, B Ribeiro, F Pereira
Applied Soft Computing 60, 831-843, 2017
1002017
Electrical signal source separation via nonnegative tensor factorization using on site measurements in a smart home
M Figueiredo, B Ribeiro, A de Almeida
IEEE Transactions on Instrumentation and Measurement 63 (2), 364-373, 2013
962013
Learning supervised topic models for classification and regression from crowds
F Rodrigues, M Lourenco, B Ribeiro, FC Pereira
IEEE transactions on pattern analysis and machine intelligence 39 (12), 2409 …, 2017
842017
Sequence labeling with multiple annotators
F Rodrigues, F Pereira, B Ribeiro
Machine learning 95, 165-181, 2014
812014
Enhanced default risk models with SVM+
B Ribeiro, C Silva, N Chen, A Vieira, JC das Neves
Expert Systems with Applications 39 (11), 10140-10152, 2012
812012
Towards adaptive learning with improved convergence of deep belief networks on graphics processing units
N Lopes, B Ribeiro
Pattern recognition 47 (1), 114-127, 2014
782014
A genetic algorithm-based approach to cost-sensitive bankruptcy prediction
N Chen, B Ribeiro, AS Vieira, J Duarte, JC Neves
Expert Systems with Applications 38 (10), 12939-12945, 2011
762011
Image complexity and feature extraction for steganalysis of LSB matching steganography
Q Liu, AH Sung, J Xu, BM Ribeiro
18th International Conference on Pattern Recognition (ICPR'06) 2, 267-270, 2006
752006
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Artikler 1–20