André N. de Souza

According to our database1, André N. de Souza authored at least 41 papers between 1999 and 2024.

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

Timeline

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Bibliography

2024
Denoising Autoencoder for Partial Discharge Identification in Instrument Transformers.
Proceedings of the 31st International Conference on Systems, Signals and Image Processing, 2024

2023
A Multi-Class Probabilistic Optimum-Path Forest.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Opposition-Based Jellyfish Search for Feature Selection.
Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

2022
Handling imbalanced datasets through Optimum-Path Forest.
Knowl. Based Syst., 2022

2021
An incremental Optimum-Path Forest classifier and its application to non-technical losses identification.
Comput. Electr. Eng., 2021

2020
FEMa: a finite element machine for fast learning.
Neural Comput. Appl., 2020

2019
A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection.
IEEE Trans. Smart Grid, 2019

2018
On the Study of Commercial Losses in Brazil: A Binary Black Hole Algorithm for Theft Characterization.
IEEE Trans. Smart Grid, 2018

Feature selection through binary brain storm optimization.
Comput. Electr. Eng., 2018

Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
An Ensemble-Based Stacked Sequential Learning Algorithm for Remote Sensing Imagery Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Pruning Optimum-Path Forest Classifiers Using Multi-Objective Optimization.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

FEMaR: A finite element machine for regression problems.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems.
CoRR, 2016

Social-Spider Optimization-based Support Vector Machines applied for energy theft detection.
Comput. Electr. Eng., 2016

2015
Binary Flower Pollination Algorithm and Its Application to Feature Selection.
Proceedings of the Recent Advances in Swarm Intelligence and Evolutionary Computation, 2015

Black Hole Algorithm for non-technical losses characterization.
Proceedings of the IEEE 6th Latin American Symposium on Circuits & Systems, 2015

2014
A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier.
Pattern Recognit. Lett., 2014

A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest.
Expert Syst. Appl., 2014

Fast Optimum-Path Forest Classification on Graphics Processors.
Proceedings of the VISAPP 2014, 2014

2013
BCS: A Binary Cuckoo Search algorithm for feature selection.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Harmony search applied for support vector machines training optimization.
Proceedings of Eurocon 2013, 2013

Optimizing Feature Selection through Binary Charged System Search.
Proceedings of the Computer Analysis of Images and Patterns, 2013

2012
Efficient Fault Location in Underground Distribution Systems through Optimum-Path Forest.
Appl. Artif. Intell., 2012

2011
A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection.
Comput. Electr. Eng., 2011

What is the importance of selecting features for non-technical losses identification?
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

2005
Development of neurofuzzy architecture for solving the <i>N</i>-Queens problem.
Int. J. Gen. Syst., 2005

2004
Implementation of Two-Stage Hopfield Model and Its Application in Nonlinear Systems.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

2002
Mapping lightning processes using fuzzy inference system.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001
A Novel Approach for Solving Constrained Nonlinear Optimization Problems Using Neurofuzzy Systems.
Int. J. Neural Syst., 2001

An Intelligent System to Real Time Rainfall Prediction using Radar Data.
Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics, 2001

A Novel Neural Model to Electrical Load Forecasting in Transformers.
Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics, 2001

A Neural System to Robust Nonlinear Optimization Subject to Disjoint and Constrained Sets.
Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics, 2001

Design of Simplified Neuro-Fuzzy Systems Based on CMAC Architectures.
Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics, 2001

2000
The application of neural networks to the analysis of dissolved gases in insulating oil used in transformers.
Proceedings of the IEEE International Conference on Systems, 2000

Design of a Fuzzy Controller with Simplified Architecture.
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000

Artificial Neural Networks Applied in Study of Atmospheric Parameters to High Voltage Substations Concerning Lightning.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A Modified Hopfield Model for Solving the N-Queens Problem.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Evaluation and identification of lightning models by artificial neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Design and analysis of neural networks for systems optimization.
Proceedings of the International Joint Conference Neural Networks, 1999

Design of digital PID controller with gain planning based on CMAC.
Proceedings of the International Joint Conference Neural Networks, 1999


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