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Publications of Author

1. Bernardete Ribeiro
   Learning Adaptive Kernels for Model Diagnosis. [Citation Graph (0, 0)][DBLP]
   HIS, 2003, pp:563-571 [Conf]
   
2. Bernardete Ribeiro, Paulo D. Carvalho
   Mercer's Kernel Based Learning for Fault Detection. [Citation Graph (0, 0)][DBLP]
   HIS, 2002, pp:341-350 [Conf]
   
3. Catarina Silva, Bernardete Ribeiro
   Margin-Based Active Learning and Background Knowledge in Text Mining. [Citation Graph (0, 0)][DBLP]
   HIS, 2004, pp:8-13 [Conf]
   
4. Paulo D. Carvalho, Amâncio Santos, António Dourado, Bernardete Ribeiro
   Learning Spectral Calibration Parameters For Color Inspection. [Citation Graph (0, 0)][DBLP]
   ICCV, 2001, pp:660-667 [Conf]
   
5. Paulo D. Carvalho, Amâncio Santos, Bernardete Ribeiro, António Dourado
   On the estimation of spectral data: a genetic algorithm approach. [Citation Graph (0, 0)][DBLP]
   ICIP (1), 2001, pp:866-869 [Conf]
   
6. Catarina Silva, Bernardete Ribeiro
   On the Evaluation of Text Processing in Text Categorization. [Citation Graph (0, 0)][DBLP]
   ICMLA, 2003, pp:121-127 [Conf]
   
7. Paulo D. Carvalho, Amâncio Santos, António Dourado, Bernardete Ribeiro
   Bayes Information Criterion for Tikhonov Regularization with Linear Constraints: Application to Spectral Data Estimation. [Citation Graph (0, 0)][DBLP]
   ICPR (1), 2002, pp:696-700 [Conf]
   
8. Qingzhong Liu, Andrew H. Sung, Jianyun Xu, Bernardete Ribeiro
   Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography. [Citation Graph (0, 0)][DBLP]
   ICPR (2), 2006, pp:267-270 [Conf]
   
9. Catarina Silva, Bernardete Ribeiro
   Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer. [Citation Graph (0, 0)][DBLP]
   IDEAL, 2006, pp:878-886 [Conf]
   
10. Catarina Silva, Manuel M. Crisóstomo, Bernardete Ribeiro
    MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. [Citation Graph (0, 0)][DBLP]
    IJCNN (6), 2000, pp:334-342 [Conf]
    
11. Catarina Silva, Bernardete Ribeiro
    Navigating mobile robots with a modular neural architecture. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2003, v:12, n:3-4, pp:200-211 [Journal]
    
12. Paulo D. Carvalho, N. Costa, Bernardete Ribeiro
    On the Use of Neural Networks and Geometrical Criteria for Localisation of Highly Irregular Elliptical Shapes. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 1999, v:2, n:4, pp:321-342 [Journal]
    
13. Catarina Silva, Bernardete Ribeiro
    On Text-based Mining with Active Learning and Background Knowledge Using SVM. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:6, pp:519-530 [Journal]
    
14. Bernardete Ribeiro
    Support vector machines for quality monitoring in a plastic injection molding process. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2005, v:35, n:3, pp:401-410 [Journal]
    
15. Bernardete Ribeiro
    Support, Relevance and Spectral Learning for Time Series. [Citation Graph (0, 0)][DBLP]
    ICANNGA (2), 2007, pp:199-207 [Conf]
    
16. Catarina Silva, Bernardete Ribeiro, Andrew H. Sung
    Boosting RVM Classifiers for Large Data Sets. [Citation Graph (0, 0)][DBLP]
    ICANNGA (2), 2007, pp:228-237 [Conf]
    
17. 
    Supervised Isomap with Dissimilarity Measures in Embedding Learning. [Citation Graph (, )][DBLP]
    
    
18. 
    Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing Units. [Citation Graph (, )][DBLP]
    
    
19. 
    Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction. [Citation Graph (, )][DBLP]
    
    
20. 
    Text Classification on Embedded Manifolds. [Citation Graph (, )][DBLP]
    
    
21. 
    Several Enhancements to Hermite-Based Approximation of One-Variable Functions. [Citation Graph (, )][DBLP]
    
    
22. 
    Improving Text Classification Performance with Incremental Background Knowledge. [Citation Graph (, )][DBLP]
    
    
23. 
    Weighted Learning Vector Quantization to Cost-Sensitive Learning. [Citation Graph (, )][DBLP]
    
    
24. 
    Distributed Ensemble Learning in Text Classification. [Citation Graph (, )][DBLP]
    
    
25. 
    Selecting Examples in Manifold Reduced Feature Space for Active Learning. [Citation Graph (, )][DBLP]
    
    
26. 
    Combining active learning and relevance vector machines for text classification. [Citation Graph (, )][DBLP]
    
    
27. 
    Speeding-up text categorization in a grid computing environment. [Citation Graph (, )][DBLP]
    
    
28. 
    Two-Level Hierarchical Hybrid SVM-RVM Classification Model. [Citation Graph (, )][DBLP]
    
    
29. 
    Learning Manifolds for Bankruptcy Analysis. [Citation Graph (, )][DBLP]
    
    
30. 
    Improving Personal Credit Scoring with HLVQ-C. [Citation Graph (, )][DBLP]
    
    
31. 
    GPU Implementation of the Multiple Back-Propagation Algorithm. [Citation Graph (, )][DBLP]
    
    
32. 
    Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification. [Citation Graph (, )][DBLP]
    
    
33. 
    Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System. [Citation Graph (, )][DBLP]
    
    
34. 
    Non-negative Matrix Factorization Implementation Using Graphic Processing Units. [Citation Graph (, )][DBLP]
    
    
35. 
    Sparse Bayesian Models: Bankruptcy-Predictors of Choice? [Citation Graph (, )][DBLP]
    
    
36. 
    Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting. [Citation Graph (, )][DBLP]
    
    
37. 
    Building resilient classifiers for LSB matching steganography. [Citation Graph (, )][DBLP]
    
    
38. 
    Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms. [Citation Graph (, )][DBLP]
    
    
39. 
    Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data. [Citation Graph (, )][DBLP]
    
    
40. 
    Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning. [Citation Graph (, )][DBLP]
    
    
41. 
    Biased Support Vector Machines and Kernel Methods for Intrusion Detection. [Citation Graph (, )][DBLP]
    
    
42. 
    Classification of Mass Spectrometry Data - Using Manifold and Supervised Distance Metric Learning. [Citation Graph (, )][DBLP]
    
    
43. 
    Using Expanded Markov Process and Joint Distribution Features for JPEG Steganalysis. [Citation Graph (, )][DBLP]
    
    
44. 
    Stochastic GPU-based Multithread Implementation of Multiple Back-propagation. [Citation Graph (, )][DBLP]