Hossein Karshenas
Hossein Karshenas
Assistant Professor, Artificial Intelligence Department, University of Isfahan
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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
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
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
Regularized continuous estimation of distribution algorithms
H Karshenas, R Santana, C Bielza, P Larrañaga
Applied Soft Computing 13 (5), 2412-2432, 2013
Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism
M Fatehifar, H Karshenas
Journal of Biomedical Informatics 115, 103707, 2021
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
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
Interval-based ranking in noisy evolutionary multi-objective optimization
H Karshenas, C Bielza, P Larrañaga
Computational Optimization and Applications 61 (2), 517-555, 2015
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
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
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
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
Multi-Orientation Local Texture Features for Guided Attention-Based Fusion in Lung Nodule Classification
A Saihood, H Karshenas, AR Naghsh-Nilchi
IEEE Access 11, 17555-17568, 2023
Memory‐ and time‐efficient dense network for single‐image super‐resolution
N Imanpour, AR Naghsh-Nilchi, A Monadjemi, H Karshenas, K Nasrollahi, ...
IET Signal Processing 15 (2), 141–152, 2021
RMAML: Riemannian meta-learning with orthogonality constraints
H Tabealhojeh, P Adibi, H Karshenas, SK Roy, M Harandi
Pattern Recognition 140, 109563, 2023
Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification
M Behmanesh, P Adibi, H Karshenas
arXiv preprint arXiv:2105.01198, 2021
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
Regularized model learning in EDAs for continuous and multi-objective optimization
H Karshenas
Technical University of Madrid, 2013
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
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
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