Visualizando por Autor Márcio Porto Basgalupp

Ir a: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
o entre con las primeras letras:  
Mostrando reg. 1 a 11 de 11
Fecha de PublicaciónTítuloAutor(s)
2014A Grammatical Evolution based Hyper-Heuristic for the Automatic Design of Split CriteriaMárcio Porto Basgalupp; Rodrigo Coelho Barros; Tiago Barabasz
2020An extensive experimental evaluation of automated machine learning methods for recommending classification algorithmsMárcio Porto Basgalupp; Rodrigo Coelho Barros; Alex Sá, etc.
2012Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking dataRodrigo C. Barros; Ana Trindade Winck; Karina dos Santos Machado, etc.
2015Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithmRodrigo Coelho Barros; Christian Vahl Quevedo; Renata De Paris, etc.
2016Enhancing Discrimination Power with Genetic Feature Construction: A Grammatical Evolution ApproachPatricia Miquilini; Vinicius Melo; Rodrigo Coelho Barros, etc.
2017Estimation of Distribution Algorithms for Decision-Tree InductionHenry Emanuel Leal Cagnini; Rodrigo Coelho Barros; Márcio Porto Basgalupp
2015Evolving balanced decision trees with a multi-population genetic algorithmVili Podgorelec; Saso Karakatic; Rodrigo Coelho Barros, etc.
2015Evolving Decision-Tree Induction Algorithms with a Multi-Objective Hyper-HeuristicMárcio Porto Basgalupp; Rodrigo Coelho Barros; Vili Podgorelec
2018Increasing Boosting Effectiveness with Estimation of Distribution AlgorithmsHenry Emanuel Leal Cagnini; Márcio Porto Basgalupp; Rodrigo Coelho Barros
2019Inducing Hierarchical Multi-label Classification rules with Genetic AlgorithmsRicardo Cerri; Márcio Porto Basgalupp; Rodrigo Coelho Barros, etc.
2016Medoid-based Data Clustering with Estimation of Distribution AlgorithmsHenry Emanuel Leal Cagnini; Rodrigo Coelho Barros; Christian Vahl Quevedo, etc.