Antônio de Pádua Braga
Orcid: 0000-0002-9007-0920
According to our database1,
Antônio de Pádua Braga
authored at least 117 papers
between 1995 and 2024.
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Bibliography
2024
Improved Design for Hardware Implementation of Graph-Based Large Margin Classifiers for Embedded Edge Computing.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
2023
RBF Neural Networks Design with Graph Based Structural Information from Dominating Sets.
Neural Process. Lett., 2023
2022
Neural Process. Lett., 2022
One Class Density Estimation Approach for Fault Detection and Rootcause Analysis in Computer Networks.
J. Netw. Syst. Manag., 2022
Multi-objective neural network model selection with a graph-based large margin approach.
Inf. Sci., 2022
Deep architecture for silica forecasting of a real industrial froth flotation process.
Eng. Appl. Artif. Intell., 2022
Time domain graph-based anomaly detection approach applied to a real industrial problem.
Comput. Ind., 2022
2021
Large Margin Gaussian Mixture Classifier With a Gabriel Graph Geometric Representation of Data Set Structure.
IEEE Trans. Neural Networks Learn. Syst., 2021
Guest Editorial: Special Issue on Deep Representation and Transfer Learning for Smart and Connected Health.
IEEE Trans. Neural Networks Learn. Syst., 2021
Enhancing Performance of Gabriel Graph-Based Classifiers by a Hardware Co-Processor for Embedded System Applications.
IEEE Trans. Ind. Informatics, 2021
Online learning of neural networks using random projections and sliding window: A case study of a real industrial process.
Eng. Appl. Artif. Intell., 2021
Industrial case study of causal modeling of continuous casting and lamination of steel tubes.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
A fuzzy data reduction cluster method based on boundary information for large datasets.
Neural Comput. Appl., 2020
Prediction of Mechanical Properties of Seamless Steel Tubes Using Artificial Neural Networks.
Int. J. Comput. Intell. Appl., 2020
Combined weightless neural network FPGA architecture for deforestation surveillance and visual navigation of UAVs.
Eng. Appl. Artif. Intell., 2020
Embedded real-time feature extraction for electrode inversion detection in telemedicine electrocardiograms.
Biomed. Signal Process. Control., 2020
Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification.
Biomed. Signal Process. Control., 2020
2019
Width optimization of RBF kernels for binary classification of support vector machines: A density estimation-based approach.
Pattern Recognit. Lett., 2019
Neural Process. Lett., 2019
Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Learning Regularization Parameters of Radial Basis Functions in Embedded Likelihoods Space.
Proceedings of the Progress in Artificial Intelligence, 2019
Proceedings of the 6th International Conference on Control, 2019
Regularization of Extreme Learning Machines with information of spatial relations of the projected data.
Proceedings of the 6th International Conference on Control, 2019
2018
A Proactive Restoration Strategy for Optical Cloud Networks Based on Failure Predictions.
Proceedings of the 2018 20th International Conference on Transparent Optical Networks (ICTON), 2018
2017
MILKDE: A new approach for multiple instance learning based on positive instance selection and kernel density estimation.
Eng. Appl. Artif. Intell., 2017
IEEE Access, 2017
2016
Int. J. High Perform. Syst. Archit., 2016
A Mutual Information estimator for continuous and discrete variables applied to Feature Selection and Classification problems.
Int. J. Comput. Intell. Syst., 2016
Trend modelling with artificial neural networks. Case study: Operating zones identification for higher SO<sub>3</sub> incorporation in cement clinker.
Eng. Appl. Artif. Intell., 2016
2015
A Ranking Approach for Probe Selection and Classification of Microarray Data with Artificial Neural Networks.
J. Comput. Biol., 2015
Dataset structure as prior information for parameter-free regularization of extreme learning machines.
Neurocomputing, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Gabriel Graph for Dataset Structure and Large Margin Classification: A Bayesian Approach.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Training Multi-Layer Perceptron with Multi-Objective Optimization and Spherical Weights Representation.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
2014
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
2013
Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data.
IEEE Trans. Neural Networks Learn. Syst., 2013
GA-KDE-Bayes: an evolutionary wrapper method based on non-parametric density estimation applied to bioinformatics problems.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
Convergence analysis of sliding mode trajectories in multi-objective neural networks learning.
Neural Networks, 2012
Emergence of synchronicity in a self-organizing spiking neuron network: an approach via genetic algorithms.
Nat. Comput., 2012
Information storage and retrieval analysis of hierarchically coupled associative memories.
Inf. Sci., 2012
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Cluster homogeneity as a semi-supervised principle for feature selection using mutual information.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
IEEE Trans. Control. Syst. Technol., 2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Semi-supervised model applied to the prediction of the response to preoperative chemotherapy for breast cancer.
Soft Comput., 2011
Soft Comput., 2011
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011
2010
Neurocomputing, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010
2009
New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data.
Proceedings of the Foundations of Computational Intelligence, 2009
Neural Process. Lett., 2009
Artificial Neural Networks Learning in ROC Space.
Proceedings of the IJCCI 2009, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
Proceedings of the Engineering Applications of Neural Networks, 2009
2008
Kybernetes, 2008
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008
Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast Cancer.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008
A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008
2007
Neural Comput. Appl., 2007
Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm.
Neurocomputing, 2007
High Efficiency on Prediction of Translation Initiation Site (TIS) of RefSeq Sequences.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2007
The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization.
Proceedings of the Artificial Neural Networks, 2007
A new decision strategy in multi-objective training of the artificial neural networks.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
2006
Proceedings of the Multi-Objective Machine Learning, 2006
Neurocomputing, 2006
Proceedings of the SBRN 2006, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Proceedings of the Image Analysis and Processing, 2005
A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005
2004
Microprocess. Microsystems, 2004
2003
Neurocomputing, 2003
Amino Acid Coding with Sliding Window Technique.
Proceedings of the II Brazilian Workshop on Bioinformatics, 2003
2002
J. Intell. Fuzzy Syst., 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Internet economic news gathering and classification: a neural network software agent based approach.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
2001
Int. J. Neural Syst., 2001
2000
Control of a Robotic Manipulator Using Artificial Neural Networks with On-line Adaptation.
Neural Process. Lett., 2000
Neurocomputing, 2000
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000
1999
Neural Networks Learning with Sliding Mode Control: The Sliding Mode Backpropagation Algorithm.
Int. J. Neural Syst., 1999
Int. J. Neural Syst., 1999
Editorial: "Artificial Neural Networks in Brazil: An Introduction to the Special Issue of IJNS".
Int. J. Neural Syst., 1999
Proceedings of the International Joint Conference Neural Networks, 1999
1998
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998
1996
A continuous approximation for the intersection of two hyper-spheres in the Boolean space.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
1995
Geometrical treatment and statistical modelling of the distribution of patterns in the n-dimensional Boolean space.
Pattern Recognit. Lett., 1995