Bernardete Ribeiro - researchr alias

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2011

A Hybrid AIS-SVM Ensemble Approach for Text ClassificationMário João Gonçalves Antunes, Catarina Silva, Bernardete Ribeiro, Manuel Eduardo Correia. icannga 2011: 342-352 [doi]

A stable credit rating model based on learning vector quantizationNing Chen, Armando Vieira, Bernardete Ribeiro, João Duarte, João Carvalho das Neves. ida, 15(2):237-250, 2011. [doi]

A genetic algorithm-based approach to cost-sensitive bankruptcy predictionNing Chen, Bernardete Ribeiro, Armando Vieira, João Duarte, João C. Neves. eswa, 38(10):12939-12945, 2011. [doi]

The Importance of Precision in Humour ClassificationJoana Costa, Catarina Silva, Mário João Gonçalves Antunes, Bernardete Ribeiro. ideal 2011: 271-278 [doi]

An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) SystemsMarisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro. icannga 2011: 31-40 [doi]

An Evaluation of Multiple Feed-Forward Networks on GPUsNoel Lopes, Bernardete Ribeiro. IJNS, 21(1):31-47, 2011. [doi]

A Robust Learning Model for Dealing with Missing Values in Many-Core ArchitecturesNoel Lopes, Bernardete Ribeiro. icannga 2011: 108-117 [doi]

Locating Information-hiding in MP3 AudioMengyu Qiao, Andrew H. Sung, Qingzhong Liu, Bernardete Ribeiro. icaart 2011: 504-507

Evaluation of a Resource Allocating Network with Long Term Memory Using GPUBernardete Ribeiro, Ricardo Quintas, Noel Lopes. icannga 2011: 41-50 [doi]

Purging False Negatives in Cancer Diagnosis Using Incremental Active LearningCatarina Silva, Bernardete Ribeiro. ideal 2011: 394-402 [doi]

2010

Weighted Learning Vector Quantization to Cost-Sensitive LearningNing Chen, Bernardete Ribeiro, Armando Vieira, João Duarte, João Carvalho das Neves. icann 2010: 277-281 [doi]

Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring SystemMarisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro, António Martins. ideal 2010: 210-217 [doi]

Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy PredictionAntónio Gaspar-Cunha, Fernando Mendes, João Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro, João Carvalho das Neves. seal 2010: 319-328 [doi]

Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization ApproachAntónio Gaspar-Cunha, Fernando Mendes, João Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro, João Carvalho das Neves. ijncr, 1(2):71-91, 2010. [doi]

An improved approach to steganalysis of JPEG imagesQingzhong Liu, Andrew H. Sung, Mengyu Qiao, Zhongxue Chen, Bernardete Ribeiro. isci, 180(9):1643-1655, 2010. [doi]

Non-negative Matrix Factorization Implementation Using Graphic Processing UnitsNoel Lopes, Bernardete Ribeiro. ideal 2010: 275-283 [doi]

Stochastic GPU-based Multithread Implementation of Multiple Back-propagationNoel Lopes, Bernardete Ribeiro. icaart 2010: 271-276

A Hybrid Face Recognition Approach Using GPUMLibNoel Lopes, Bernardete Ribeiro. ciarp 2010: 96-103 [doi]

Distributed Text Classification With an Ensemble Kernel-Based Learning ApproachCatarina Silva, Uros Lotric, Bernardete Ribeiro, Andrej Dobnikar. tsmc, 40(3):287-297, 2010. [doi]

Inductive Inference for Large Scale Text Classification: Kernel Approaches and TechniquesCatarina Silva, Bernardete Ribeiro. Volume 255 of Studies in Computational Intelligence, Springer, 2010.

2009

Cost-Sensitive Learning Vector Quantization for Financial Distress PredictionNing Chen, Armando Vieira, JoÃ£o Duarte, Bernardete Ribeiro, JoÃ£o Carvalho das Neves. epia 2009: 374-385 [doi]

Control of a Biped Robot With Support Vector Regression in Sagittal PlaneJoão P. Ferreira, Manuel Marques Crisóstomo, A. Paulo Coimbra, Bernardete Ribeiro. tim, 58(9):3167-3176, 2009. [doi]

Using Expanded Markov Process and Joint Distribution Features for JPEG SteganalysisQingzhong Liu, Andrew H. Sung, Mengyu Qiao, Bernardete Ribeiro. icaart 2009: 226-231

Classification of Mass Spectrometry Data - Using Manifold and Supervised Distance Metric LearningQingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, Mengyu Qiao. biostec 2009: 396-401

GPU Implementation of the Multiple Back-Propagation AlgorithmNoel Lopes, Bernardete Ribeiro. ideal 2009: 449-456 [doi]

Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing UnitsNoel Lopes, Bernardete Ribeiro. ciarp 2009: 603-610 [doi]

Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress DataBernardete Ribeiro, Catarina Silva, Armando Vieira, JoÃ£o Carvalho das Neves. icannga 2009: 537-547 [doi]

Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold LearningCatarina Silva, Bernardete Ribeiro. icannga 2009: 370-379 [doi]

Knowledge Extraction with Non-Negative Matrix Factorization for Text ClassificationCatarina Silva, Bernardete Ribeiro. ideal 2009: 300-308 [doi]

Improving Text Classification Performance with Incremental Background KnowledgeCatarina Silva, Bernardete Ribeiro. icann 2009: 923-931 [doi]

Accurate Prediction of Financial Distress of Companies with Machine Learning AlgorithmsArmando Vieira, JoÃ£o Duarte, Bernardete Ribeiro, JoÃ£o Carvalho das Neves. icannga 2009: 569-576 [doi]

2008

Several Enhancements to Hermite-Based Approximation of One-Variable FunctionsBartlomiej Beliczynski, Bernardete Ribeiro. icann 2008: 11-20 [doi]

Building resilient classifiers for LSB matching steganographyRita Ferreira, Bernardete Ribeiro, Catarina Silva, Qingzhong Liu, Andrew H. Sung. ijcnn 2008: 1562-1567 [doi]

Image complexity and feature mining for steganalysis of least significant bit matching steganographyQingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, Mingzhen Wei, Zhongxue Chen, Jianyun Xu. isci, 178(1):21-36, 2008. [doi]

Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fittingQingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, Rita Ferreira. ijcnn 2008: 3352-3357 [doi]

Supervised Isomap with Dissimilarity Measures in Embedding LearningBernardete Ribeiro, Armando Vieira, João Carvalho das Neves. ciarp 2008: 389-396 [doi]

Learning Manifolds for Bankruptcy AnalysisBernardete Ribeiro, Armando Vieira, JoÃ£o Duarte, Catarina Silva, JoÃ£o Carvalho das Neves, Qingzhong Liu, Andrew H. Sung. iconip 2009: 723-730 [doi]

Towards Expanding Relevance Vector Machines to Large Scale DatasetsCatarina Silva, Bernardete Ribeiro. IJNS, 18(1):45-58, 2008. [doi]

Selecting Examples in Manifold Reduced Feature Space for Active LearningCatarina Silva, Bernardete Ribeiro. icmla 2008: 54-59 [doi]

Distributed Ensemble Learning in Text ClassificationCatarina Silva, Bernardete Ribeiro, Uros Lotric, Andrej Dobnikar. ICEIS 2007: 420-423

Text Classification on Embedded ManifoldsCatarina Silva, Bernardete Ribeiro. sbia 2008: 272-281 [doi]

Improving Personal Credit Scoring with HLVQ-CArmando Vieira, JoÃ£o Duarte, Bernardete Ribeiro, JoÃ£o Carvalho das Neves. iconip 2009: 97-103 [doi]

2007

Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part IIBartlomiej Beliczynski, Andrzej Dzielinski, Marcin Iwanowski, Bernardete Ribeiro, editors, Volume 4432 of Lecture Notes in Computer Science, Springer, 2007.

Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part IBartlomiej Beliczynski, Andrzej Dzielinski, Marcin Iwanowski, Bernardete Ribeiro, editors, Volume 4431 of Lecture Notes in Computer Science, Springer, 2007.

Choosing Real-Time Predictors for Ventricular Arrhythmia DetectionBernardete Ribeiro, Amândio Marques, Jorge Henriques, Manuel Antunes. ijprai, 21(8):1249-1263, 2007. [doi]

Support, Relevance and Spectral Learning for Time SeriesBernardete Ribeiro. icannga 2007: 199-207 [doi]

Combining active learning and relevance vector machines for text classificationCatarina Silva, Bernardete Ribeiro. icmla 2008: 130-135 [doi]

On Text-based Mining with Active Learning and Background Knowledge Using SVMCatarina Silva, Bernardete Ribeiro. soco, 11(6):519-530, 2007. [doi]

Boosting RVM Classifiers for Large Data SetsCatarina Silva, Bernardete Ribeiro, Andrew H. Sung. icannga 2007: 228-237 [doi]

Biased Support Vector Machines and Kernel Methods for Intrusion DetectionKrishna Yendrapalli, Srinivas Mukkamala, Andrew H. Sung, Bernardete Ribeiro. wce 2007: 321-325

2006

2005

On the Evaluation of Minkovsky Kernel for SVMsBernardete Ribeiro. npsc, 13:77-90, 2005.

Support vector machines for quality monitoring in a plastic injection molding processBernardete Ribeiro. tsmc, 35(3):401-410, 2005. [doi]

Selective Classification and Regression Models Based on Support Vector ClusteringBernardete Ribeiro. npsc, 13:327-336, 2005.

Speeding-up text categorization in a grid computing environmentCatarina Silva, Bernardete Ribeiro, Uros Lotric. icmla 2005: [doi]

2004

Margin-Based Active Learning and Background Knowledge in Text MiningCatarina Silva, Bernardete Ribeiro. his 2005: 8-13 [doi]

2003

An Efficient Gradient-based Learning Algorithm Applied to Neural Networks with Selective Actuation NeuronsNoel Lopes, Bernardete Ribeiro. npsc, 11:253-272, 2003.

Learning Adaptive Kernels for Model DiagnosisBernardete Ribeiro. his 2003: 563-571

On the Evaluation of Text Processing in Text CategorizationCatarina Silva, Bernardete Ribeiro. icmla 2003: 121-127

Navigating mobile robots with a modular neural architectureCatarina Silva, Bernardete Ribeiro. nca, 12(3-4):200-211, 2003. [doi]

2002

Bayes Information Criterion for Tikhonov Regularization with Linear Constraints: Application to Spectral Data EstimationPaulo D. Carvalho, Amâncio Santos, António Dourado, Bernardete Ribeiro. icpr 2002: 696-700 [doi]

Mercer s Kernel Based Learning for Fault DetectionBernardete Ribeiro, Paulo D. Carvalho. his 2002: 341-350

2001

Learning Spectral Calibration Parameters For Color InspectionPaulo D. Carvalho, Amâncio Santos, António Dourado, Bernardete Ribeiro. iccv 2001: 660-667

On the estimation of spectral data: a genetic algorithm approachPaulo D. Carvalho, Amâncio Santos, Bernardete Ribeiro, António Dourado. icip 2001: 866-869 [doi]

2000

MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the EnvironmentCatarina Silva, Manuel M. Crisóstomo, Bernardete Ribeiro. ijcnn 2000: 334-342 [doi]

1999

On the Use of Neural Networks and Geometrical Criteria for Localisation of Highly Irregular Elliptical ShapesPaulo D. Carvalho, N. Costa, Bernardete Ribeiro. paa, 2(4):321-342, 1999. [doi]