A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification C LI, L LEDO, M DELGADO, M CERRADA, F PACHECO, D CABRERA, ... | 43 | 2017 |
A selection hyperheuristic guided by Thompson sampling for numerical optimization M Scoczynski, D Oliva, E Rodríguez-Esparza, M Delgado, R Lüders, ... Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 7 | 2021 |
. Synthesis of probabilistic fuzzy classifiers using GK clustering and Bayesian estimation L LEDO, M REGATTIERI DELGADO, J VALENTE DE OLIVEIRA | 5 | 2017 |
Sánchez RV and Oliveira JVD, A Bayesian approach to consequentparameter estimation in probabilistic fuzzy systems and itsapplication to bearing fault classification C Li, L Ledo, M Delgado, M Cerrada, F Pacheco, D Cabrera Knowledge-BasedSystems 129, 39-60, 2017 | 4 | 2017 |
Fully Bayesian Spatial Analysis of Homicide Rates R EHLERS, LLM MELO JR, SA SILVA | 3 | 2006 |
GKFP: A new fuzzy clustering method applied to bearings diagnosis C Li, L Ledo, M Delgado, M Cerrada, RV Sánchez, D Cabrera, ... 2018 Prognostics and System Health Management Conference (PHM-Chongqing …, 2018 | 2 | 2018 |
Toward Automatic Rule-base Design in Probabilistic Fuzzy Classifiers L Ledo, LA LUCAS, DELGADO, M. R. | 2 | 2014 |
Observed- Biased clustering for bearing condition monitoring L LEDO, M REGATTIERI DELGADO, J VALENTE DE OLIVEIRA | | 2015 |