Hossein Karshenas
Hossein Karshenas
Assistant Professor, Artificial Intelligence Department University of Isfahan
Geverifieerd e-mailadres voor eng.ui.ac.ir
TitelGeciteerd doorJaar
A review on evolutionary algorithms in Bayesian network learning and inference tasks
P Larrañaga, H Karshenas, C Bielza, R Santana
Information Sciences 233, 109-125, 2013
1202013
A review on probabilistic graphical models in evolutionary computation
P Larrañaga, H Karshenas, C Bielza, R Santana
Journal of Heuristics 18 (5), 795-819, 2012
742012
Regularized continuous estimation of distribution algorithms
H Karshenas, R Santana, C Bielza, P Larrañaga
Applied Soft Computing 13 (5), 2412-2432, 2013
322013
Multi-objective optimization with joint probabilistic modeling of objectives and variables
H Karshenas, R Santana, C Bielza, P Larrañaga
Evolutionary Multi-Criterion Optimization, 298-312, 2011
172011
Multi-objective optimization based on joint probabilistic modeling of objectives and variables
H Karshenas, R Santana, C Bielza, P Larrañaga
IEEE Transactions on Evolutionary Computation 18 (4), 519-542, 2014
102014
Combinatorial effects of local structures and scoring metrics in bayesian optimization algorithm
H Karshenas, A Nikanjam, BH Helmi, AT Rahmani
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary …, 2009
92009
Interval-based ranking in noisy evolutionary multi-objective optimization
H Karshenas, C Bielza, P Larrañaga
Computational Optimization and Applications 61 (2), 517-555, 2015
62015
Regularized model learning in EDAs for continuous and multi-objective optimization
H Karshenas
Technical University of Madrid, 2013
32013
Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks
H Karshenas, R Santana, C Bielza, P Larrañaga
Markov Networks in Evolutionary Computation, 157-173, 2012
32012
Multi-structure problems: Difficult model learning in discrete EDAs
A Nikanjam, H Karshenas
2016 IEEE Congress on Evolutionary Computation (CEC), 3448-3454, 2016
12016
Complexity of model learning in EDAs: multi-structure problems
H Sharifi, A Nikanjam, H Karshenas, N Najimi
Proceedings of the 2014 conference companion on Genetic and evolutionary …, 2014
12014
Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods
R Santana, H Karshenas, C Bielza, P Larrañaga
Proceedings of the 13th annual conference companion on Genetic and …, 2011
12011
Regularized k-order markov models in EDAs
R Santana, H Karshenas, C Bielza, P Larrañaga
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
12011
Model accuracy for hierarchical problems
H Karshenas, A Nikanjam, BH Helmi, AT Rahmani
2009 IEEE International Conference on Intelligent Computing and Intelligent …, 2009
12009
Learning multi-objective binary features for image representation
N Saeidi, H Karshenas, HM Mohammadi
2017 7th International Conference on Computer and Knowledge Engineering …, 2017
2017
A similarity-window based background estimation approach
E Shahrian, H Karshenas, M Fathy
Computer Systems and Applications, 2008. AICCSA 2008. IEEE/ACS International …, 2008
2008
Multi-Objective Decomposition with Gaussian Bayesian Networks⋆
H Karshenas, R Santana, C Bielza, P Larranaga
On the Effect of Scoring Metrics in the Bayesian Optimization Algorithm
H Karshenas, A Nikanjam, A Rahmani
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Artikelen 1–18