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ORCIDMarcelo Azevedo Costa
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Journal Articles
- 2023
[j9]Rodrigo Barbosa de Santis
, Tiago Silveira Gontijo, Marcelo Azevedo Costa:
A Data-Driven Framework for Small Hydroelectric Plant Prognosis Using Tsfresh and Machine Learning Survival Models. Sensors 23(1): 12 (2023)- 2020
- [j8]Honovan P. Rocha, Marcelo Azevedo Costa, Antônio P. Braga:
Neural Networks Multiobjective Learning With Spherical Representation of Weights. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4761-4775 (2020) - 2015
- [j7]Alexandre Wagner Chagas Faria, Alisson Marques da Silva, Thiago de Souza Rodrigues, Marcelo Azevedo Costa, Antônio de Pádua Braga:
A Ranking Approach for Probe Selection and Classification of Microarray Data with Artificial Neural Networks. J. Comput. Biol. 22(10): 953-961 (2015) - 2012
- [j6]Marcelo Azevedo Costa, Renato M. Assunção, Martin Kulldorff:
Constrained spanning tree algorithms for irregularly-shaped spatial clustering. Comput. Stat. Data Anal. 56(6): 1771-1783 (2012) - [j5]Marcos Oliveira Prates, Renato M. Assunção, Marcelo Azevedo Costa:
Flexible scan statistic test to detect disease clusters in hierarchical trees. Comput. Stat. 27(4): 715-737 (2012) - [j4]Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes:
Convergence analysis of sliding mode trajectories in multi-objective neural networks learning. Neural Networks 33: 21-31 (2012) - 2007
- [j3]Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes:
Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm. Neurocomputing 70(7-9): 1342-1347 (2007) - 2003
- [j2]Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes, Roselito de Albuquerque Teixeira, Gustavo Guimarães Parma:
Training neural networks with a multi-objective sliding mode control algorithm. Neurocomputing 51: 467-473 (2003) - 2002
- [j1]Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes:
Improving neural networks generalization with new constructive and pruning methods. J. Intell. Fuzzy Syst. 13(2-4): 75-83 (2002)
Conference and Workshop Papers
- 2015
- [c13]Honovan P. Rocha, Marcelo Azevedo Costa, Antônio P. Braga:
Training Multi-Layer Perceptron with Multi-Objective Optimization and Spherical Weights Representation. ESANN 2015 - 2011
- [c12]Marcelo Azevedo Costa, Antônio de Pádua Braga:
Gradient Descent Decomposition for Multi-objective Learning. IDEAL 2011: 377-384 - 2008
- [c11]Antônio de Pádua Braga, Euler G. Horta, René Natowicz, Roman Rouzier, Roberto Incitti, Thiago S. Rodrigues, Marcelo Azevedo Costa, Carmen D. M. Pataro, Arben Çela:
Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy. ANNPR 2008: 263-266 - [c10]René Natowicz, Antônio de Pádua Braga, Roberto Incitti, Euler G. Horta, Roman Rouzier, Thiago S. Rodrigues, Marcelo Azevedo Costa:
A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy. ESANN 2008: 71-76 - [c9]René Natowicz, Roberto Incitti, Roman Rouzier, Arben Çela, Antônio de Pádua Braga, Euler G. Horta, Thiago S. Rodrigues, Marcelo Azevedo Costa:
Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast Cancer. KES (2) 2008: 157-164 - 2006
- [c8]Marcelo Azevedo Costa, Antônio de Pádua Braga:
Optimization of Neural Networks with Multi-Objective LASSO Algorithm. IJCNN 2006: 3312-3318 - 2005
- [c7]Marcelo Azevedo Costa, Luciano R. Schrerrer, Renato M. Assunção:
Detecção de Conglomerados Espaciais com Geometria Arbitrária. GEOINFO 2005: 213-222 - 2003
- [c6]Marcelo Azevedo Costa, Renato M. Assunção:
Uma Análise de Desempenho dos Métodos SCAN e BESAG&NEWELL na Detecção de Clusters Espaciais. GEOINFO 2003 - 2002
- [c5]Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes, Gustavo Guimarães Parma, Roselito de Albuquerque Teixeira:
Control of Generalization with a Bi-Objective Sliding Mode Control Algorithm. SBRN 2002: 38-43 - [c4]Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes:
Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm. SBRN 2002: 44-48 - [c3]Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes:
Constructive and Pruning Methods for Neural Network Design. SBRN 2002: 49-54 - 1998
- [c2]Antônio de Pádua Braga, Marcelo Azevedo Costa:
A General Approach for Density in the n-Dimensional Boolean Space. SBRN 1998: 161-164 - 1997
- [c1]Anelise P. Braga, Marcelo Barros de Almeida, G. Pereita, Marcelo Azevedo Costa, C. Barbose:
On the information storage of associative matrix memories. SBRN 1997: 51-57
Parts in Books or Collections
- 2009
- [p2]Marcelo Azevedo Costa, Thiago S. Rodrigues, Euler Guimarães Horta, Antônio de Pádua Braga, Carmen D. M. Pataro, René Natowicz, Roberto Incitti, Roman Rouzier, Arben Çela:
New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data. Foundations of Computational Intelligence (1) 2009: 63-82 - 2006
- [p1]Antônio de Pádua Braga, Ricardo H. C. Takahashi, Marcelo Azevedo Costa, Roselito de Albuquerque Teixeira:
Multi-Objective Algorithms for Neural Networks Learning. Multi-Objective Machine Learning 2006: 151-171
Coauthor Index
aka: Antônio P. Braga
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