Marcelo Azevedo Costa

According to our database1, Marcelo Azevedo Costa authored at least 24 papers between 1997 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
A Data-Driven Framework for Small Hydroelectric Plant Prognosis Using Tsfresh and Machine Learning Survival Models.
Sensors, 2023

2020
Neural Networks Multiobjective Learning With Spherical Representation of Weights.
IEEE Trans. Neural Networks Learn. Syst., 2020

2015
A Ranking Approach for Probe Selection and Classification of Microarray Data with Artificial Neural Networks.
J. Comput. Biol., 2015

Training Multi-Layer Perceptron with Multi-Objective Optimization and Spherical Weights Representation.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2012
Convergence analysis of sliding mode trajectories in multi-objective neural networks learning.
Neural Networks, 2012

Flexible scan statistic test to detect disease clusters in hierarchical trees.
Comput. Stat., 2012

Constrained spanning tree algorithms for irregularly-shaped spatial clustering.
Comput. Stat. Data Anal., 2012

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

2009
New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data.
Proceedings of the Foundations of Computational Intelligence, 2009

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
Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm.
Neurocomputing, 2007

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

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

2005
Detecção de Conglomerados Espaciais com Geometria Arbitrária.
Proceedings of the VII Brazilian Symposium on Geoinformatics, 2005

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

Uma Análise de Desempenho dos Métodos SCAN e BESAG&NEWELL na Detecção de Clusters Espaciais.
Proceedings of the Anais GEOINFO 2003, 2003

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

1998
A General Approach for Density in the n-Dimensional Boolean Space.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998

1997
On the information storage of associative matrix memories.
Proceedings of the 4th Brazilian Symposium on Neural Networks, 1997


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