Antônio de Pádua Braga

Orcid: 0000-0002-9007-0920

According to our database1, Antônio de Pádua Braga authored at least 119 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Hebbian Learning with Kernel-Based Embedding of Input Data.
Neural Process. Lett., December, 2024

Improved Design for Hardware Implementation of Graph-Based Large Margin Classifiers for Embedded Edge Computing.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Distance-based loss function for deep feature space learning of convolutional neural networks.
Comput. Vis. Image Underst., 2024

2023
RBF Neural Networks Design with Graph Based Structural Information from Dominating Sets.
Neural Process. Lett., 2023

2022
Cost-Sensitive Learning based on Performance Metric for Imbalanced Data.
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

Neural Networks Regularization With Graph-Based Local Resampling.
IEEE Access, 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
Neural Networks Multiobjective Learning With Spherical Representation of Weights.
IEEE Trans. Neural Networks Learn. Syst., 2020

LASSO multi-objective learning algorithm for feature selection.
Soft Comput., 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

A Review of Off-Line Mode Dataset Shifts.
IEEE Comput. Intell. Mag., 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

Learning from Imbalanced Data Sets with Weighted Cross-Entropy Function.
Neural Process. Lett., 2019

Semi-supervised relevance index for feature selection.
Neural Comput. Appl., 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

Gabriel Graph Transductive Approach to Dataset Shift.
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

CUDA-Based Parallelization of Power Iteration Clustering for Large Datasets.
IEEE Access, 2017

2016
Image matching applied to autonomous navigation of unmanned aerial vehicles.
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

GPIC - GPU Power Iteration Cluster.
CoRR, 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

A parameterless mixture model for large margin classification.
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

An affinity matrix approach for structure selection of extreme learning machines.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
A Geometrical Approach for Parameter Selection of Radial Basis Functions Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Parameter-free regularization in Extreme Learning Machines with affinity matrices.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

An Extreme Learning Approach to Active Learning.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

A new approach for multiple instance learning based on a homogeneity bag operator.
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

A General Approach for Adaptive Kernels in Semi-Supervised Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm.
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
Black and Gray-Box Identification of a Hydraulic Pumping System.
IEEE Trans. Control. Syst. Technol., 2011

Protein Classification with Extended-Sequence Coding by Sliding Window.
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

The use of coevolution and the artificial immune system for ensemble learning.
Soft Comput., 2011

Gradient Descent Decomposition for Multi-objective Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2010
An efficient multi-objective learning algorithm for RBF neural network.
Neurocomputing, 2010

Introduction to Computational Intelligence Business Applications.
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

IP-LSSVM: A two-step sparse classifier.
Pattern Recognit. Lett., 2009

Analysis of Time Series Novelty Detection Strategies for Synthetic and Real Data.
Neural Process. Lett., 2009

Artificial Neural Networks Learning in ROC Space.
Proceedings of the IJCCI 2009, 2009

Machine Learning with Labeled and Unlabeled Data.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

An Improved Algorithm for SVMs Classification of Imbalanced Data Sets.
Proceedings of the Engineering Applications of Neural Networks, 2009

2008
Hybrid classification algorithms based on boosting and support vector machines.
Kybernetes, 2008

A multi-objective approach to RBF network learning.
Neurocomputing, 2008

Evolving an Ensemble of Neural Networks Using Artificial Immune Systems.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

A Multi-objective Learning Algorithm for RBF Neural Network.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Optimization of the Area under the ROC Curve.
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
RRS + LS-SVM: a new strategy for "a priori" sample selection.
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

Complexity bounds of radial basis functions and multi-objective learning.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

A-LSSVM: an Adaline based iterative sparse LS-SVM classifier.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Multi-Objective Algorithms for Neural Networks Learning.
Proceedings of the Multi-Objective Machine Learning, 2006

Reinforcement learning of a simple control task using the spike response model.
Neurocomputing, 2006

Storage capacity of hierarchically coupled associative memories.
Proceedings of the SBRN 2006, 2006

Optimization of Neural Networks with Multi-Objective LASSO Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Evolutionary Radial Basis Functions for Credit Assessment.
Appl. Intell., 2005

Unsupervised Segmentation of Text Fragments in Real Scenes.
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

An evolutionary approach to Transduction in Support Vector Machines.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Design of digital classifier circuits with nearest neighbour prior sample selection.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

A Hybrid Approach for Sparse Least Squares Support Vector Machines.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Credit Card Users' Data Mining.
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005

2004
Reconfigurable co-processor for Kanerva's sparse distributed memory.
Microprocess. Microsystems, 2004

2003
Training neural networks with a multi-objective sliding mode control algorithm.
Neurocomputing, 2003

Amino Acid Coding with Sliding Window Technique.
Proceedings of the II Brazilian Workshop on Bioinformatics, 2003

2002
Improving neural networks generalization with new constructive and pruning methods.
J. Intell. Fuzzy Syst., 2002

Decisior Implementation in Neural Model Selection by Multi-objective Optimization.
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

Control of Generalization with a Bi-Objective Sliding Mode Control Algorithm.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

Constructive and Pruning Methods for Neural Network Design.
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
Recent Advances in the MOBJ Algorithm for Training Artifical Neural Networks.
Int. J. Neural Syst., 2001

2000
Control of a Robotic Manipulator Using Artificial Neural Networks with On-line Adaptation.
Neural Process. Lett., 2000

Improving generalization of MLPs with multi-objective optimization.
Neurocomputing, 2000

A Multi-Objective Optimization Approach for Training Artificial Neural Networks.
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000

SVM-KM: Speeding SVMs Learning with a priori Cluster Selection and k-Means.
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

Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods.
Int. J. Neural Syst., 1999

Editorial: "Artificial Neural Networks in Brazil: An Introduction to the Special Issue of IJNS".
Int. J. Neural Syst., 1999

Sliding mode backpropagation: control theory applied to neural network learning.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Improving Backpropagation with Sliding Mode Control.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998

A General Approach for Density in the n-Dimensional Boolean Space.
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
Design models for recursive binary neural networks.
PhD thesis, 1995

Geometrical treatment and statistical modelling of the distribution of patterns in the n-dimensional Boolean space.
Pattern Recognit. Lett., 1995


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