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 | 346 | 2003 |
Financial credit risk assessment: a recent review N Chen, B Ribeiro, A Chen Artificial Intelligence Review 45, 1-23, 2016 | 240 | 2016 |
Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems M Figueiredo, A De Almeida, B Ribeiro Neurocomputing 96, 66-73, 2012 | 233 | 2012 |
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 | 178 | 2005 |
A survey on home energy management J Leitao, P Gil, B Ribeiro, A Cardoso IEEE Access 8, 5699-5722, 2020 | 168 | 2020 |
DENSER: deep evolutionary network structured representation F Assunção, N Lourenço, P Machado, B Ribeiro Genetic Programming and Evolvable Machines 20, 5-35, 2019 | 158 | 2019 |
Gaussian process classification and active learning with multiple annotators F Rodrigues, F Pereira, B Ribeiro International conference on machine learning, 433-441, 2014 | 146 | 2014 |
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 | 141 | 2011 |
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 | 134 | 2013 |
Learning from multiple annotators: distinguishing good from random labelers F Rodrigues, F Pereira, B Ribeiro Pattern Recognition Letters 34 (12), 1428-1436, 2013 | 128 | 2013 |
A neural network for shortest path computation F Araujo, B Ribeiro, L Rodrigues IEEE Transactions on Neural Networks 12 (5), 1067-1073, 2001 | 124 | 2001 |
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 | 119 | 2008 |
Probabilistic modeling and visualization for bankruptcy prediction F Antunes, B Ribeiro, F Pereira Applied Soft Computing 60, 831-843, 2017 | 115 | 2017 |
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 | 107 | 2013 |
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 | 101 | 2017 |
Sequence labeling with multiple annotators F Rodrigues, F Pereira, B Ribeiro Machine learning 95, 165-181, 2014 | 99 | 2014 |
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 | 89 | 2012 |
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 | 86 | 2011 |
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 | 79 | 2014 |
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 | 77 | 2006 |