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 | 243 | 2017 |
Fast detection of arbitrarily shaped disease clusters R Assuncao, M Costa, A Tavares, S Ferreira Statistics in medicine 25 (5), 723-742, 2006 | 178 | 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 | 90 | 2007 |
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 | 82 | 2019 |
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 | 72 | 2013 |
Constrained spanning tree algorithms for irregularly-shaped spatial clustering MA Costa, RM Assunçao, M Kulldorff Computational Statistics & Data Analysis 56 (6), 1771-1783, 2012 | 65 | 2012 |
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 | 61 | 2018 |
A fair comparison between the spatial scan and the Besag–Newell Disease clustering tests MA Costa, RM Assunção Environmental and Ecological Statistics 12, 301-319, 2005 | 61 | 2005 |
Cadastro Ambiental Rural e sua influência na dinâmica do desmatamento na Amazônia Legal A Azevedo, R Rajão, M Costa, MCC Stabile, A Alencar, P Moutinho Boletim Amazônia em pauta 3 (2014), 1-16, 2014 | 55 | 2014 |
Power of the sequential Monte Carlo test I Silva, R Assunçao, M Costa Sequential Analysis 28 (2), 163-174, 2009 | 55 | 2009 |
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 | 54 | 2003 |
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 | 49 | 2003 |
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 | 48 | 2015 |
Maximum linkage space-time permutation scan statistics for disease outbreak detection MA Costa, M Kulldorff International journal of health geographics 13, 1-14, 2014 | 47 | 2014 |
Extended isolation forests for fault detection in small hydroelectric plants RB de Santis, MA Costa Sustainability 12 (16), 6421, 2020 | 45 | 2020 |
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), 13851, 2018 | 40 | 2018 |
Multi-objective algorithms for neural networks learning AP Braga, RHC Takahashi, MA Costa, RA Teixeira Multi-objective machine learning, 151-171, 2006 | 40 | 2006 |
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 | 39 | 2012 |
Applications of spatial scan statistics: a review MA Costa, M Kulldorff Scan statistics: methods and applications, 129-152, 2009 | 34 | 2009 |
A close look at second stage data envelopment analysis using compound error models and the Tobit model AV Da Silva, MA Costa, ALM Lopes, GM do Carmo Socio-Economic Planning Sciences 65, 111-126, 2019 | 33 | 2019 |