Hossein Karshenas

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Concha BielzaProfessor of Statistics and Operations Research, Technical University of MadridDirección de correo verificada de fi.upm.es
Pedro LarrañagaProfessor of Artificial Intelligence - Universidad Politécnica de MadridDirección de correo verificada de fi.upm.es
Roberto SantanaIntelligent Systems Group ISG, University of the Basque Country UPV/EHUDirección de correo verificada de ehu.es
Peyman AdibiUniversity of IsfahanDirección de correo verificada de eng.ui.ac.ir
Amin NikanjamResearch associate, Polytechnique MontréalDirección de correo verificada de polymtl.ca
Amirhassan MonajemiSenior Lecturer, School of Computing, National University of SingaporeDirección de correo verificada de nus.edu.sg
Saeed KhalilianPhD Candidate at Eindhoven University of TechnologyDirección de correo verificada de tue.nl
Arian BaloochestaniPhD Candidate at University of StavangerDirección de correo verificada de uis.no
Hoda HelmiDirección de correo verificada de wayne.edu
Ahmad R. Naghsh-NilchiProfessor of Artificial Intelligence, Faculty of Computer Eng., University of IsfahanDirección de correo verificada de eng.ui.ac.ir
Mohsen FatehifarThe University of ManchesterDirección de correo verificada de manchester.ac.uk
Hossein Mahvash MohammadiAssistant Professor, Computer engineering Department, University of IsfahanDirección de correo verificada de eng.ui.ac.ir
Ehsan Shahrian VarnousfaderaniPostdoc of Shiley Eye Center (UCSD)Dirección de correo verificada de e.ntu.edu.sg
Mahmood FathyEmeritus professor computer Engineering, Iran university of science and technologyDirección de correo verificada de iust.ac.ir

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Hossein Karshenas

Associate Professor, Artificial Intelligence Department, University of Isfahan

Dirección de correo verificada de eng.ui.ac.ir - Página principal

Estimation of Distribution Algorithms Multi-Objective Optimization Computational Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	191	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	103	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	45	2020
Regularized continuous estimation of distribution algorithms H Karshenas, R Santana, C Bielza, P Larrañaga Applied Soft Computing 13 (5), 2412-2432, 2013	39	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	22	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	21	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	16	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	14	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	12	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	11	2009
RMAML: Riemannian meta-learning with orthogonality constraints H Tabealhojeh, P Adibi, H Karshenas, SK Roy, M Harandi Pattern Recognition 140, 109563, 2023	7	2023
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	7	2012
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	6	2021
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	6	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	5	2023
Distribution shift alignment in visual domain adaptation E Hatefi, H Karshenas, P Adibi Expert Systems with Applications 235, 121210, 2024	3	2024
Parallel encoder–decoder framework for image captioning R Saeidimesineh, P Adibi, H Karshenas, A Darvishy Knowledge-Based Systems 282, 111056, 2023	3	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	3	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	3	2019
Regularized model learning in EDAs for continuous and multi-objective optimization H Karshenas Technical University of Madrid, 2013	3	2013

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