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Hossein Karshenas
Hossein Karshenas
Associate Professor, Artificial Intelligence Department, University of Isfahan
Dirección de correo verificada de eng.ui.ac.ir - Página principal
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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
1962013
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
1072012
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
522020
Regularized continuous estimation of distribution algorithms
H Karshenas, R Santana, C Bielza, P Larrañaga
Applied Soft Computing 13 (5), 2412-2432, 2013
392013
Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism
M Fatehifar, H Karshenas
Journal of Biomedical Informatics 115, 103707, 2021
292021
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
212011
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
162018
Interval-based ranking in noisy evolutionary multi-objective optimization
H Karshenas, C Bielza, P Larrañaga
Computational Optimization and Applications 61 (2), 517-555, 2015
142015
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
122014
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
112009
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
92023
Distribution shift alignment in visual domain adaptation
E Hatefi, H Karshenas, P Adibi
Expert Systems with Applications 235, 121210, 2024
82024
RMAML: Riemannian meta-learning with orthogonality constraints
H Tabealhojeh, P Adibi, H Karshenas, SK Roy, M Harandi
Pattern Recognition 140, 109563, 2023
82023
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
72021
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
72012
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
62020
Parallel encoder–decoder framework for image captioning
R Saeidimesineh, P Adibi, H Karshenas, A Darvishy
Knowledge-Based Systems 282, 111056, 2023
42023
Fuzzy Word Sense Induction and Disambiguation
P Kazemi, H Karshenas
IEEE Transactions on Fuzzy Systems 30 (9), 3918 - 3927, 2022
32022
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
32021
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
32019
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Artículos 1–20