| 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 | 23 | 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 |
Concha BielzaProfessor of Statistics and Operations Research, Technical University of Madrid在 fi.upm.es 的电子邮件经过验证
