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Carlos M. C. Jacinto
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2010 – 2019
- 2015
- [j4]Isis Didier Lins
, Enrique López Droguett
Computing confidence and prediction intervals of industrial equipment degradation by bootstrapped support vector regression. Reliab. Eng. Syst. Saf. 137: 120-128 (2015) - 2014
- [j3]Mariana D. C. Lima, Silvia M. Nassar, Pedro Ivo R. B. G. Rodrigues, Paulo José de Freitas Filho, Carlos M. C. Jacinto:
Heuristic discretization method for Bayesian Networks. J. Comput. Sci. 10(5): 869-878 (2014) - [c5]Diego G. Rodrigues, Gabriel Moura, Carlos Magno Couto Jacinto, Paulo José de Freitas Filho, Mauro Roisenberg:
Generating interpretable Mamdani-type fuzzy rules using a neuro-fuzzy system based on radial basis functions. FUZZ-IEEE 2014: 1352-1359 - 2013
- [j2]Ronay Ak, Yan-Fu Li
NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment. Expert Syst. Appl. 40(4): 1205-1212 (2013)
2000 – 2009
- 2008
- [j1]Enrique López Droguett
A semi-Markov model with Bayesian belief network based human error probability for availability assessment of downhole optical monitoring systems. Simul. Model. Pract. Theory 16(10): 1713-1727 (2008) - 2006
- [c4]Dalton F. Andrade, Pedro Alberto Barbetta, Paulo José de Freitas Filho, Ney A. de Mello Zunino, Carlos Magno Couto Jacinto:
Using copulas in risk analysis. WSC 2006: 727-732 - [c3]Cláudio Flores, Fernando Makiyama, Silvia Nassar, Paulo José de Freitas Filho, Carlos M. C. Jacinto:
Risk analysis using Monte Carlo simulation and Bayesian networks. WSC 2006: 2292 - 2005
- [c2]Dennis Kerr Coelho
Risk assessment of drilling and completion operations in petroleum wells using a Monte Carlo and a neural network approach. WSC 2005: 1892-1897 - 2002
- [c1]Carlos Magno Couto Jacinto:
Energy production and trading: discrete event simulation for the risk of development of an oil field. WSC 2002: 1588-1592
Coauthor Index
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