Hossein Karshenas

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 17

Top Topics

Word Sense Induction

Top Venues

GECCO (Companion)

IET Signal Process.

Comput. Optim. Appl.

Publications

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 (2024)
Hadi Tabealhojeh, Soumava Kumar Roy, Peyman Adibi, Hossein Karshenas
FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint. CoRR (2024)
Elham Hatefi, Hossein Karshenas, Peyman Adibi
Distribution shift alignment in visual domain adaptation. Expert Syst. Appl. 235 (2024)
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 (2023)
Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi
RMAML: Riemannian meta-learning with orthogonality constraints. Pattern Recognit. 140 (2023)
Reyhane Saeidimesineh, Peyman Adibi, Hossein Karshenas, Alireza Darvishy
Parallel encoder-decoder framework for image captioning. Knowl. Based Syst. 282 (2023)
Ali Abedi, Hossein Karshenas, Peyman Adibi
Multi-modal reward for visual relationships-based image captioning. CoRR (2023)
Ahmed Saihood, Hossein Karshenas, Ahmad Reza Naghsh-Nilchi
Deep fusion of gray level co-occurrence matrices for lung nodule classification. CoRR (2022)
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) (2022)
Parham Kazemi, Hossein Karshenas
Fuzzy Word Sense Induction and Disambiguation. IEEE Trans. Fuzzy Syst. 30 (9) (2022)
Mohsen Fatehifar, Hossein Karshenas
Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism. J. Biomed. Informatics 115 (2021)
Maysam Behmanesh, Peyman Adibi, Hossein Karshenas
Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification. CoRR (2021)
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) (2021)
Saeed Khalilian, Yeganeh Hallaj, Arian Balouchestani, Hossein Karshenas, Amir Mohammadi
PCB Defect Detection Using Denoising Convolutional Autoencoders. CoRR (2020)
Zahra Hanifelou, Peyman Adibi, Sayyed Amirhassan Monadjemi, Hossein Karshenas
KNN-based multi-label twin support vector machine with priority of labels. Neurocomputing 322 (2018)
Amin Nikanjam, Hossein Karshenas
Multi-structure problems: Difficult model learning in discrete EDAs. CEC (2016)
Hossein Karshenas, Concha Bielza, Pedro Larrañaga
Interval-based ranking in noisy evolutionary multi-objective optimization. Comput. Optim. Appl. 61 (2) (2015)
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) (2014)
Hadi Sharifi, Amin Nikanjam, Hossein Karshenas, Negar Najimi
Complexity of model learning in EDAs: multi-structure problems. GECCO (Companion) (2014)
Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana
A review on evolutionary algorithms in Bayesian network learning and inference tasks. Inf. Sci. 233 (2013)
Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga
Regularized continuous estimation of distribution algorithms. Appl. Soft Comput. 13 (5) (2013)
Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana
A review on probabilistic graphical models in evolutionary computation. J. Heuristics 18 (5) (2012)
Hamid Parvin, Behrouz Minaei, Hossein Karshenas, Akram Beigi
A New N-gram Feature Extraction-Selection Method for Malicious Code. ICANNGA (2) (2011)
Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga
Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods. GECCO (Companion) (2011)
Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga
Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables. EMO (2011)
Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga
Regularized k-order markov models in EDAs. GECCO (2011)
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)
Ehsan Shahrian, Hossein Karshenas, Mahmood Fathy
A similarity-window based background estimation approach. AICCSA (2008)