All Stories

  1. Dataset structure as prior information for parameter-free regularization of extreme learning machines

    Article • Neurocomputing, December 2015, Elsevier

    Professor Antonio P Braga

  2. braga

    Article • Electronics Letters, November 2015, the Institution of Engineering and Technology (the IET)

    Professor Antonio P Braga

  3. Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data

    Article • IEEE Transactions on Neural Networks and Learning Systems, June 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Antonio P Braga

  4. Convergence analysis of sliding mode trajectories in multi-objective neural networks learning

    Article • Neural Networks, September 2012, Elsevier

    Professor Antonio P Braga

  5. Information storage and retrieval analysis of hierarchically coupled associative memories

    Article • Information Sciences, July 2012, Elsevier

    Professor Antonio P Braga

  6. Protein Classification with Extended-Sequence Coding by Sliding Window

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, November 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Antonio P Braga

  7. Emergence of synchronicity in a self-organizing spiking neuron network: an approach via genetic algorithms

    Article • Natural Computing, August 2011, Springer Science + Business Media

    Professor Antonio P Braga

  8. Learning in Artificial Neural Networks

    Article • August 2011, Springer Science + Business Media

    Professor Antonio P Braga

  9. Black and Gray-Box Identification of a Hydraulic Pumping System

    Article • IEEE Transactions on Control Systems Technology, March 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Antonio P Braga, Luis Aguirre

  10. Aprendizado supervisionado com conjuntos de dados desbalanceados

    Article • Sba Controle & Automação Sociedade Brasileira de Automatica, January 2011, FapUNIFESP (SciELO)

    Professor Antonio P Braga

  11. Prediction and simulation errors in parameter estimation for nonlinear systems

    Article • Mechanical Systems and Signal Processing, November 2010, Elsevier

    Professor Antonio P Braga, Luis Aguirre

  12. An efficient multi-objective learning algorithm for RBF neural network

    Article • Neurocomputing, October 2010, Elsevier

    Professor Antonio P Braga

  13. Non-parametric kernel density estimation for the prediction of neoadjuvant chemotherapy outcomes

    Article • August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Antonio P Braga

  14. Affinity-Matrix representation of spike train activities in the early visual pathway

    Article • August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Antonio P Braga

  15. The use of coevolution and the artificial immune system for ensemble learning

    Article • Soft Computing, June 2010, Springer Science + Business Media

    Professor Antonio P Braga, Luis Aguirre

  16. Semi-supervised model applied to the prediction of the response to preoperative chemotherapy for breast cancer

    Article • Soft Computing, March 2010, Springer Science + Business Media

    Professor Antonio P Braga

  17. IP-LSSVM: A two-step sparse classifier

    Article • Pattern Recognition Letters, December 2009, Elsevier

    Professor Antonio P Braga

  18. Analysis of Time Series Novelty Detection Strategies for Synthetic and Real Data

    Article • Neural Processing Letters, May 2009, Springer Science + Business Media

    Professor Antonio P Braga

  19. Intelligent Thermographic Diagnostic Applied to Surge Arresters: A New Approach

    Article • IEEE Transactions on Power Delivery, April 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Antonio P Braga

  20. Hybrid classification algorithms based on boosting and support vector machines

    Article • Kybernetes, October 2008, Emerald

    Professor Antonio P Braga

  21. A Multi-objective Learning Algorithm for RBF Neural Network

    Article • October 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Antonio P Braga

  22. A multi-objective approach to RBF network learning

    Article • Neurocomputing, March 2008, Elsevier

    Professor Antonio P Braga

  23. Improving generalization of MLPs with sliding mode control and the Levenberg–Marquardt algorithm

    Article • Neurocomputing, March 2007, Elsevier

    Professor Antonio P Braga

  24. RRS + LS-SVM: a new strategy for “a priori” sample selection

    Article • Neural Computing and Applications, February 2007, Springer Science + Business Media

    Professor Antonio P Braga

  25. Reinforcement learning of a simple control task using the spike response model

    Article • Neurocomputing, December 2006, Elsevier

    Professor Antonio P Braga

  26. Storage capacity of hierarchically coupled associative memories

    Article • October 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Antonio P Braga

  27. Optimization of Neural Networks with Multi-Objective LASSO Algorithm

    Article • January 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Antonio P Braga

  28. Evolutionary Radial Basis Functions for Credit Assessment

    Article • Applied Intelligence, May 2005, Springer Science + Business Media

    Professor Antonio P Braga

  29. Intelligent detection and diagnosis of lightning arrester faults using digital thermovision image processing techniques

    Article • March 2005, SPIE

    Professor Antonio P Braga

  30. Credit Card Users' Data Mining

    Article • January 2005, IGI Global

    Professor Antonio P Braga

  31. Reconfigurable co-processor for Kanerva's sparse distributed memory

    Article • Microprocessors and Microsystems, April 2004, Elsevier

    Professor Antonio P Braga

  32. Sliding mode neural network control of an induction motor drive

    Article • International Journal of Adaptive Control and Signal Processing, January 2003, Wiley

    Professor Antonio P Braga

  33. Recurrent Neural Network Model to Retrieve the Long Range Spherical Potential Energy Function from Second Virial Coefficient

    Article • Inverse Problems in Engineering, January 2002, Taylor & Francis

    Professor Antonio P Braga

  34. Inversion of Simulated Positron Annihilation Lifetime Spectrum Using a Neural Network

    Article • Journal of Chemical Information and Modeling, March 2001, American Chemical Society (ACS)

    Professor Antonio P Braga

  35. Improving generalization of MLPs with multi-objective optimization

    Article • Neurocomputing, November 2000, Elsevier

    Professor Antonio P Braga, Dr. Ricardo H. C. Takahashi

  36. Geometrical treatment and statistical modelling of the distribution of patterns in the n-dimensional Boolean space

    Article • Pattern Recognition Letters, May 1995, Elsevier

    Professor Antonio P Braga

  37. Attractor Properties of Recurrent Networks with Generalising Boolean Nodes

    Article • January 1994, Springer Science + Business Media

    Professor Antonio P Braga

  38. On the Information Capacity of Auto-associative RAM-based Neural Networks

    Article • January 1993, Springer Science + Business Media

    Professor Antonio P Braga

  39. Credit Card Users' Data Mining

    Article • IGI Global

    Professor Antonio P Braga

  40. Forecasting the Stock Market with ANNs and Autonomous Agents

    Article • IGI Global

    Professor Antonio P Braga

  41. Control of generalization with a bi-objective sliding mode control algorithm

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Antonio P Braga

  42. Constructive and pruning methods for neural network design

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Antonio P Braga