Marcelo Azevedo Costa

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Uma Análise de Desempenho dos Métodos SCAN e BESAG&NEWELL na Detecção de Clusters Espaciais

Marcelo Azevedo Costa, Renato Assunção, 2003, GeoInfo.

Training Multi-Layer Perceptron with Multi-Objective Optimization and Spherical Weights Representation

Marcelo Azevedo Costa, Honovan P. Rocha, Antônio P. Braga, 2015, ESANN.

Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy

Antônio de Pádua Braga, Marcelo Azevedo Costa, René Natowicz, 2008, ANNPR.

A Ranking Approach for Probe Selection and Classification of Microarray Data with Artificial Neural Networks

Antônio de Pádua Braga, Marcelo Azevedo Costa, Alisson Marques da Silva, 2015, J. Comput. Biol..

Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast Cancer

Antônio de Pádua Braga, Marcelo Azevedo Costa, René Natowicz, 2008, KES.

New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data

Antônio de Pádua Braga, Marcelo Azevedo Costa, René Natowicz, 2009, Foundations of Computational Intelligence.

Multi-Objective Algorithms for Neural Networks Learning

Ricardo H. C. Takahashi, Antônio de Pádua Braga, Marcelo Azevedo Costa, 2006, Multi-Objective Machine Learning.

Sliding mode neural network control of an induction motor drive

Antônio de Pádua Braga, Marcelo Azevedo Costa, Benjamim Rodrigues de Menezes, 2003 .

A fair comparison between the spatial scan and the Besag–Newell Disease clustering tests

Marcelo Azevedo Costa, Renato Martins Assunção, 2005, Environmental and Ecological Statistics.

Gradient Descent Decomposition for Multi-objective Learning

Antônio de Pádua Braga, Marcelo Azevedo Costa, 2011, IDEAL.

A new item response theory model to adjust data allowing examinee choice

Marcelo Azevedo Costa, Carolina Silva Pena, Rivert Paulo Braga Oliveira, 2018, PloS one.

Constructive and pruning methods for neural network design

Antônio de Pádua Braga, Marcelo Azevedo Costa, Benjamin Rodrigues de Menezes, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

Critical evaluation of the performance assessment model of Brazilian electricity distribution companies

Marcelo Azevedo Costa, Ana Lúcia Miranda Lopes, Edgar Augusto Lanzer, 2016 .

Use of jump process to model mobility in massive multiplayer on-line games

Marcelo Azevedo Costa, Izabella A. R. A. Santos, Denise Duarte, 2017 .

Improving neural networks generalization with new constructive and pruning methods

Antônio de Pádua Braga, Marcelo Azevedo Costa, Benjamin Rodrigues de Menezes, 2002, J. Intell. Fuzzy Syst..

LASSO multi-objective learning algorithm for feature selection

Michel Verleysen, Marcelo Azevedo Costa, Antônio de Pádua Braga, 2020, Soft Computing.

Training neural networks with a multi-objective sliding mode control algorithm

Antônio de Pádua Braga, Marcelo Azevedo Costa, Roselito de Albuquerque Teixeira, 2003, Neurocomputing.

SELECTING PROFILES OF IN DEBT CLIENTS OF A BRAZILIAN TELEPHONE COMPANY: NEW LASSO AND ADAPTIVE LASSO ALGORITHMS IN THE COX MODEL

Marcelo Azevedo Costa, Enrico A. Colosimo, Carolina G. Miranda, 2015 .

Bayesian detection of clusters in efficiency score maps: An application to Brazilian energy regulation

Marcelo Azevedo Costa, Vinícius Diniz Mayrink, Ana Lúcia Miranda Lopes, 2019 .

Failure detection in robotic arms using statistical modeling, machine learning and hybrid gradient boosting

Svante Gunnarsson, Mikael Norrlöf, Marcelo Azevedo Costa, 2019, Measurement.

Flexible scan statistic test to detect disease clusters in hierarchical trees

Marcelo Azevedo Costa, Renato M. Assunção, Marcos O. Prates, 2011, Computational Statistics.

Detecção de Conglomerados Espaciais com Geometria Arbitrária

Marcelo Azevedo Costa, Renato Assunção, Luciano R. Schrerrer, 2005, GeoInfo.

Optimization of Neural Networks with Multi-Objective LASSO Algorithm

Antônio de Pádua Braga, Marcelo Azevedo Costa, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Improved generalization learning with sliding mode control and the Levenberg-Marquadt algorithm

Antônio de Pádua Braga, Marcelo Azevedo Costa, Benjamin Rodrigues de Menezes, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

Control of generalization with a bi-objective sliding mode control algorithm

Antônio de Pádua Braga, Marcelo Azevedo Costa, G. G. Parma, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

On the information storage of associative matrix memories

Marcelo Azevedo Costa, Marcelo Barros de Almeida, Anelise P. Braga, 1997, Proceedings 4th Brazilian Symposium on Neural Networks.

Robust functional analysis for fault detection in power transmission lines

Marcelo Azevedo Costa, Gilmar Rosa, 2016 .

Forecasting Hierarchical Time Series in Power Generation

Marcelo Azevedo Costa, Tiago Silveira Gontijo, Tiago Silveira Gontijo, 2020, Energies.

Constrained spanning tree algorithms for irregularly-shaped spatial clustering

Marcelo Azevedo Costa, Renato Assunção, Martin Kulldorff, 2012, Comput. Stat. Data Anal..

A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy

Antônio de Pádua Braga, Marcelo Azevedo Costa, René Natowicz, 2008, ESANN.

Convergence analysis of sliding mode trajectories in multi-objective neural networks learning

Marcelo Azevedo Costa, Antonio Padua Braga, Benjamin Rodrigues de Menezes, 2012, Neural Networks.

Extended Isolation Forests for Fault Detection in Small Hydroelectric Plants

Marcelo Azevedo Costa, Rodrigo Barbosa de Santis, Rodrigo Barbosa de Santis, 2020, Sustainability.

Dynamic Time Scan Forecasting

Marcelo Azevedo Costa, Marcos Oliveira Prates, L. B. Mineti, 2019, 1906.05399.

Power of the Sequential Monte Carlo Test

Marcelo Azevedo Costa, Renato M. Assunção, M. Costa, 2009 .

Applications of Spatial Scan Statistics: A Review

Marcelo Azevedo Costa, Martin Kulldorff, M. Kulldorff, 2009 .

Optimal selection of the spatial scan parameters for cluster detection: a simulation study.

Marcelo Azevedo Costa, Sérgio Henrique Rodrigues Ribeiro, 2012, Spatial and spatio-temporal epidemiology.