Marcelo Azevedo Costa
Marcelo Azevedo Costa
Full Professor, Department of Industrial Engineering
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Limits of Brazil’s Forest Code as a means to end illegal deforestation
AA Azevedo, R Rajão, MA Costa, MCC Stabile, MN Macedo, ...
Proceedings of the National Academy of Sciences 114 (29), 7653-7658, 2017
Fast detection of arbitrarily shaped disease clusters
R Assuncao, M Costa, A Tavares, S Ferreira
Statistics in medicine 25 (5), 723-742, 2006
Improving generalization of MLPs with sliding mode control and the Levenberg–Marquardt algorithm
MA Costa, A de Pádua Braga, BR de Menezes
Neurocomputing 70 (7-9), 1342-1347, 2007
Detection and classification of faults in power transmission lines using functional analysis and computational intelligence
A de Souza Gomes, MA Costa, TGA de Faria, WM Caminhas
IEEE Transactions on Power Delivery 28 (3), 1402-1413, 2013
A fair comparison between the spatial scan and the Besag–Newell disease clustering tests
MA Costa, RM Assunção
Environmental and Ecological Statistics 12 (3), 301-319, 2005
Training neural networks with a multi-objective sliding mode control algorithm
MA Costa, AP Braga, BR Menezes, RA Teixeira, GG Parma
Neurocomputing 51, 467-473, 2003
Constrained spanning tree algorithms for irregularly-shaped spatial clustering
MA Costa, RM Assunçao, M Kulldorff
Computational Statistics & Data Analysis 56 (6), 1771-1783, 2012
Cadastro Ambiental Rural e sua influência na dinâmica do desmatamento na Amazônia Legal
AA Azevedo, R Rajão, M Costa, MCC Stabile, A Alencar, P Moutinho
Boletim Amazônia em pauta 3 (2014), 1-16, 2014
Sliding mode neural network control of an induction motor drive
GG Parma, BR Menezes, AP Braga, MA Costa
International Journal of Adaptive Control and Signal Processing 17 (6), 501-508, 2003
Análisis de investigaciones brasileñas enfocadas en el cuidado de enfermería
E Alacoque, LL Josete, MI Costa, MA Trevizan, DC Carvalho
Revista ciencia y enfermería XI años 2, 35-46, 2001
Power of the sequential Monte Carlo test
I Silva, R Assunçao, M Costa
Sequential Analysis 28 (2), 163-174, 2009
Multi-objective algorithms for neural networks learning
AP Braga, RHC Takahashi, MA Costa, RA Teixeira
Multi-objective machine learning, 151-171, 2006
Maximum linkage space-time permutation scan statistics for disease outbreak detection
MA Costa, M Kulldorff
International journal of health geographics 13 (1), 1-14, 2014
Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision
MA Costa, ALM Lopes, GBB de Pinho Matos
Socio-Economic Planning Sciences 49, 47-60, 2015
Improving neural networks generalization with new constructive and pruning methods
MA Costa, AP Braga, BR De Menezes
Journal of Intelligent & Fuzzy Systems 13 (2-4), 75-83, 2002
Optimal selection of the spatial scan parameters for cluster detection: a simulation study
SHR Ribeiro, MA Costa
Spatial and spatio-temporal epidemiology 3 (2), 107-120, 2012
Predicting water demand: A review of the methods employed and future possibilities
G de Souza Groppo, MA Costa, M Libânio
Water Supply 19 (8), 2179-2198, 2019
Failure detection in robotic arms using statistical modeling, machine learning and hybrid gradient boosting
MA Costa, B Wullt, M Norrlöf, S Gunnarsson
Technical report from Automatic Control at Linköpings universitet, 2018
Susceptibility to Plasmodium vivax malaria associated with DARC (Duffy antigen) polymorphisms is influenced by the time of exposure to malaria
FS Kano, AM de Souza, L de Menezes Torres, MA Costa, FA Souza-Silva, ...
Scientific reports 8 (1), 1-14, 2018
Applications of spatial scan statistics: a review
MA Costa, M Kulldorff
Scan statistics, 129-152, 2009
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