| 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 | 141 | 2013 |
| 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 | 82 | 2012 |
| Regularized continuous estimation of distribution algorithms H Karshenas, R Santana, C Bielza, P Larrañaga Applied Soft Computing 13 (5), 2412-2432, 2013 | 34 | 2013 |
| 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 | 19 | 2011 |
| KNN-based multi-label twin support vector machine with priority of labels Z Hanifelou, P Adibi, SA Monadjemi, H Karshenas Neurocomputing 322, 177-186, 2018 | 11 | 2018 |
| 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 | 11 | 2014 |
| 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 | 10 | 2009 |
| Interval-based ranking in noisy evolutionary multi-objective optimization H Karshenas, C Bielza, P Larrañaga Computational Optimization and Applications 61 (2), 517-555, 2015 | 8 | 2015 |
| 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 | 5 | 2012 |
| Improving Network Intrusion Detection by Identifying Effective Features using Evolutionary Algorithms based on Support Vector Machine M Sharifiasn, H Karshenas, S Sharifiasn Computational Intelligence in Electrical Engineering 11 (1), 29-42, 2020 | 3 | 2020 |
| Regularized model learning in EDAs for continuous and multi-objective optimization H Karshenas Technical University of Madrid, 2013 | 3 | 2013 |
| Improving Network Intrusion Detection by Identifying Effective Features using Evolutionary Algorithms based on Support Vector Machine M Sharifian, H Karshenas, S Sharifian | 3* | |
| 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 | 2 | 2011 |
| Model accuracy for hierarchical problems H Karshenas, A Nikanjam, BH Helmi, AT Rahmani 2009 IEEE International Conference on Intelligent Computing and Intelligent …, 2009 | 2 | 2009 |
| PCB Defect Detection Using Denoising Convolutional Autoencoders S Khalilian, Y Hallaj, A Balouchestani, H Karshenas, A Mohammadi 2020 International Conference on Machine Vision and Image Processing (MVIP), 1-5, 2020 | 1 | 2020 |
| Single Sample Face Recognition Using Multicross Pattern and Learning Discriminative Binary Features N Saeidi, H Karshenas, HM Mohammadi Journal of Applied Security Research 14 (2), 169-190, 2019 | 1 | 2019 |
| Multi-structure problems: Difficult model learning in discrete EDAs A Nikanjam, H Karshenas 2016 IEEE Congress on Evolutionary Computation (CEC), 3448-3454, 2016 | 1 | 2016 |
| 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 | 1 | 2014 |
| 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 | 1 | 2011 |
| Representative dense feature learning for memory-and time-efficient single image super-resolution N Imanpour, AR Naghsh-Nilchi, A Monadjemi, H Karshenas, K Nasrollahi, ... IET Signal Processing, 2020 | | 2020 |
Roberto SantanaIntelligent Systems Group ISG, University of the Basque Country UPV/EHUVerified email at ehu.es
