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ORCIDHossein Karshenas
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- affiliation: University of Isfahan, Iran
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2020 – today
- 2024
[j14]Elham Hatefi, Hossein Karshenas
, Peyman Adibi:
Distribution shift alignment in visual domain adaptation. Expert Syst. Appl. 235: 121210 (2024)- [i6]Hadi Tabealhojeh, Soumava Kumar Roy, Peyman Adibi, Hossein Karshenas:
FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint. CoRR abs/2402.18605 (2024) - [i5]Nematollah Saeidi, Hossein Karshenas, Bijan Shoushtarian, Sepideh Hatamikia, Ramona Woitek, Amirreza Mahbod:
Breast Histopathology Image Retrieval by Attention-based Adversarially Regularized Variational Graph Autoencoder with Contrastive Learning-Based Feature Extraction. CoRR abs/2405.04211 (2024) - 2023
- [j13]Ahmed Saihood, Hossein Karshenas, Ahmad Reza Naghsh-Nilchi:
Multi-Orientation Local Texture Features for Guided Attention-Based Fusion in Lung Nodule Classification. IEEE Access 11: 17555-17568 (2023) - [j12]Reyhane Saeidimesineh, Peyman Adibi, Hossein Karshenas, Alireza Darvishy:
Parallel encoder-decoder framework for image captioning. Knowl. Based Syst. 282: 111056 (2023) - [j11]Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi:
RMAML: Riemannian meta-learning with orthogonality constraints. Pattern Recognit. 140: 109563 (2023) - [i4]Ali Abedi, Hossein Karshenas, Peyman Adibi:
Multi-modal reward for visual relationships-based image captioning. CoRR abs/2303.10766 (2023) - 2022
- [j10]Hadi Shahmoradi, Majid Esmaelian, Hossein Karshenas:
An EDA-based method for solving electric vehicle charging scheduling problem under limited power and maximum imbalance constraints. Comput. Ind. Eng. 172(Part): 108544 (2022) - [j9]Parham Kazemi, Hossein Karshenas:
Fuzzy Word Sense Induction and Disambiguation. IEEE Trans. Fuzzy Syst. 30(9): 3918-3927 (2022) - [i3]Ahmed Saihood, Hossein Karshenas, Ahmad Reza Naghsh-Nilchi:
Deep fusion of gray level co-occurrence matrices for lung nodule classification. CoRR abs/2205.05123 (2022) - 2021
- [j8]Nasrin Imanpour, Ahmad Reza Naghsh-Nilchi, Amirhassan Monadjemi, Hossein Karshenas, Kamal Nasrollahi, Thomas B. Moeslund:
Memory- and time-efficient dense network for single-image super-resolution. IET Signal Process. 15(2): 141-152 (2021) - [j7]Mohsen Fatehifar, Hossein Karshenas:
Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism. J. Biomed. Informatics 115: 103707 (2021) - [i2]Maysam Behmanesh, Peyman Adibi, Hossein Karshenas:
Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification. CoRR abs/2105.01198 (2021) - 2020
- [i1]Saeed Khalilian, Yeganeh Hallaj, Arian Balouchestani, Hossein Karshenas, Amir Mohammadi:
PCB Defect Detection Using Denoising Convolutional Autoencoders. CoRR abs/2008.12589 (2020)
2010 – 2019
- 2018
- [j6]Zahra Hanifelou, Peyman Adibi, Sayyed Amirhassan Monadjemi, Hossein Karshenas:
KNN-based multi-label twin support vector machine with priority of labels. Neurocomputing 322: 177-186 (2018) - 2016
- [c8]Amin Nikanjam, Hossein Karshenas:
Multi-structure problems: Difficult model learning in discrete EDAs. CEC 2016: 3448-3454 - 2015
- [j5]Hossein Karshenas, Concha Bielza, Pedro Larrañaga:
Interval-based ranking in noisy evolutionary multi-objective optimization. Comput. Optim. Appl. 61(2): 517-555 (2015) - 2014
- [j4]Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga:
Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables. IEEE Trans. Evol. Comput. 18(4): 519-542 (2014) - [c7]Hadi Sharifi, Amin Nikanjam, Hossein Karshenas, Negar Najimi:
Complexity of model learning in EDAs: multi-structure problems. GECCO (Companion) 2014: 55-56 - 2013
- [b1]Hossein Karshenas:
Regularized model learning in EDAs for continuous and multi-objective optimization. Technical University of Madrid, Spain, 2013 - [j3]Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga:
Regularized continuous estimation of distribution algorithms. Appl. Soft Comput. 13(5): 2412-2432 (2013) - [j2]Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana:
A review on evolutionary algorithms in Bayesian network learning and inference tasks. Inf. Sci. 233: 109-125 (2013) - 2012
- [j1]Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana:
A review on probabilistic graphical models in evolutionary computation. J. Heuristics 18(5): 795-819 (2012) - 2011
- [c6]Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga:
Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables. EMO 2011: 298-312 - [c5]Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga:
Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods. GECCO (Companion) 2011: 91-92 - [c4]Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga:
Regularized k-order markov models in EDAs. GECCO 2011: 593-600 - [c3]Hamid Parvin, Behrouz Minaei, Hossein Karshenas, Akram Beigi:
A New N-gram Feature Extraction-Selection Method for Malicious Code. ICANNGA (2) 2011: 98-107
2000 – 2009
- 2009
- [c2]Hossein Karshenas, Amin Nikanjam, B. Hoda Helmi, Adel Torkaman Rahmani:
Combinatorial effects of local structures and scoring metrics in bayesian optimization algorithm. GEC Summit 2009: 263-270 - 2008
- [c1]Ehsan Shahrian, Hossein Karshenas, Mahmood Fathy:
A similarity-window based background estimation approach. AICCSA 2008: 623-628
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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