Evaluation of the diagnostic power of thermography in breast cancer using bayesian network classifiers CR Nicandro, MM Efrén, AA Maria Yaneli, MDCM Enrique, ... Computational and mathematical methods in medicine 2013 (1), 264246, 2013 | 93 | 2013 |
Differential evolution with combined variants for dynamic constrained optimization MY Ameca-Alducin, E Mezura-Montes, N Cruz-Ramirez 2014 IEEE Congress on Evolutionary Computation (CEC), 975-982, 2014 | 28 | 2014 |
A repair method for differential evolution with combined variants to solve dynamic constrained optimization problems MY Ameca-Alducin, E Mezura-Montes, N Cruz-Ramírez Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015 | 22 | 2015 |
A comparison of constraint handling techniques for dynamic constrained optimization problems MY Ameca-Alducin, M Hasani-Shoreh, W Blaikie, F Neumann, ... 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 21 | 2018 |
Assessment of bayesian network classifiers as tools for discriminating breast cancer pre-diagnosis based on three diagnostic methods AA Maria Yaneli, CR Nicandro, MM Efrén, MDCM Enrique, PC Nancy, ... Advances in Artificial Intelligence: 11th Mexican International Conference …, 2013 | 17 | 2013 |
On the use of repair methods in differential evolution for dynamic constrained optimization MY Ameca-Alducin, M Hasani-Shoreh, F Neumann Applications of Evolutionary Computation: 21st International Conference …, 2018 | 13 | 2018 |
Dynamic differential evolution with combined variants and a repair method to solve dynamic constrained optimization problems: an empirical study MY Ameca-Alducin, E Mezura-Montes, N Cruz-Ramírez Soft Computing 22 (2), 541-570, 2018 | 11 | 2018 |
On the behaviour of differential evolution for problems with dynamic linear constraints M Hasani-Shoreh, MY Ameca-Alducin, W Blaikie, F Neumann, ... 2019 IEEE Congress on Evolutionary Computation (CEC), 3045-3052, 2019 | 10 | 2019 |
Differential evolution with a repair method to solve dynamic constrained optimization problems MY Ameca-Alducin, E Mezura-Montes, N Cruz-Ramírez Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 6 | 2015 |
How good is crude MDL for solving the bias-variance dilemma? An empirical investigation based on Bayesian networks N Cruz-Ramírez, HG Acosta-Mesa, E Mezura-Montes, ... PloS one 9 (3), e92866, 2014 | 5 | 2014 |
Particle Swarm Optimization with feasibility rules in constrained numerical optimization. A brief review VJ Aguilera-Rueda, MY Ameca-Alducin, E Mezura-Montes, ... 2016 IEEE International Autumn Meeting on Power, Electronics and Computing …, 2016 | 3 | 2016 |