A similarity-window based background estimation approach. - Ehsan Shahrian; Hossein Karshenas; Mahmood Fathy (AICCSA, 2008)

Combinatorial effects of local structures and scoring metrics in bayesian optimization algorithm. - Hossein Karshenas; Amin Nikanjam; B. Hoda Helmi; Adel Torkaman Rahmani (GEC Summit, 2009)

Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables. - Hossein Karshenas; Roberto Santana 001; Concha Bielza; Pedro Larrañaga (EMO, 2011)

Regularized k-order markov models in EDAs. - Roberto Santana 001; Hossein Karshenas; Concha Bielza; Pedro Larrañaga (GECCO, 2011)

Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods. - Roberto Santana 001; Hossein Karshenas; Concha Bielza; Pedro Larrañaga (GECCO (Companion), 2011)

A New N-gram Feature Extraction-Selection Method for Malicious Code. - Hamid Parvin; Behrouz Minaei; Hossein Karshenas; Akram Beigi (ICANNGA (2), 2011)

A review on probabilistic graphical models in evolutionary computation. - Pedro Larrañaga; Hossein Karshenas; Concha Bielza; Roberto Santana 001 (J. Heuristics, 2012)

Regularized continuous estimation of distribution algorithms. - Hossein Karshenas; Roberto Santana 001; Concha Bielza; Pedro Larrañaga (Appl. Soft Comput., 2013)

A review on evolutionary algorithms in Bayesian network learning and inference tasks. - Pedro Larrañaga; Hossein Karshenas; Concha Bielza; Roberto Santana 001 (Inf. Sci., 2013)

Regularized model learning in EDAs for continuous and multi-objective optimization. - Hossein Karshenas (2013)

Complexity of model learning in EDAs: multi-structure problems. - Hadi Sharifi; Amin Nikanjam; Hossein Karshenas; Negar Najimi (GECCO (Companion), 2014)

Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables. - Hossein Karshenas; Roberto Santana 001; Concha Bielza; Pedro Larrañaga (IEEE Trans. Evol. Comput., 2014)

Interval-based ranking in noisy evolutionary multi-objective optimization. - Hossein Karshenas; Concha Bielza; Pedro Larrañaga (Comput. Optim. Appl., 2015)

Multi-structure problems: Difficult model learning in discrete EDAs. - Amin Nikanjam; Hossein Karshenas (CEC, 2016)

KNN-based multi-label twin support vector machine with priority of labels. - Zahra Hanifelou; Peyman Adibi; Sayyed Amirhassan Monadjemi; Hossein Karshenas (Neurocomputing, 2018)

PCB Defect Detection Using Denoising Convolutional Autoencoders. - Saeed Khalilian; Yeganeh Hallaj; Arian Balouchestani; Hossein Karshenas; Amir Mohammadi (CoRR, 2020)

Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification. - Maysam Behmanesh; Peyman Adibi; Hossein Karshenas (CoRR, 2021)

Memory- and time-efficient dense network for single-image super-resolution. - Nasrin Imanpour; Ahmad Reza Naghsh-Nilchi; Amirhassan Monadjemi; Hossein Karshenas; Kamal Nasrollahi; Thomas B. Moeslund (IET Signal Process., 2021)

Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism. - Mohsen Fatehifar; Hossein Karshenas (J. Biomed. Informatics, 2021)

An EDA-based method for solving electric vehicle charging scheduling problem under limited power and maximum imbalance constraints. - Hadi Shahmoradi; Majid Esmaelian; Hossein Karshenas (Comput. Ind. Eng., 2022)

Deep fusion of gray level co-occurrence matrices for lung nodule classification. - Ahmed Saihood; Hossein Karshenas; Ahmad Reza Naghsh-Nilchi (CoRR, 2022)

Fuzzy Word Sense Induction and Disambiguation. - Parham Kazemi; Hossein Karshenas (IEEE Trans. Fuzzy Syst., 2022)

Multi-Orientation Local Texture Features for Guided Attention-Based Fusion in Lung Nodule Classification. - Ahmed Saihood; Hossein Karshenas; Ahmad Reza Naghsh-Nilchi (IEEE Access, 2023)

Multi-modal reward for visual relationships-based image captioning. - Ali Abedi 009; Hossein Karshenas; Peyman Adibi (CoRR, 2023)

RMAML: Riemannian meta-learning with orthogonality constraints. - Hadi Tabealhojeh; Peyman Adibi; Hossein Karshenas; Soumava Kumar Roy; Mehrtash Harandi (Pattern Recognit., 2023)

Parallel encoder-decoder framework for image captioning. - Reyhane Saeidimesineh; Peyman Adibi; Hossein Karshenas; Alireza Darvishy (Knowl. Based Syst., 2023)

FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint. - Hadi Tabealhojeh; Soumava Kumar Roy; Peyman Adibi; Hossein Karshenas (CoRR, 2024)

Breast Histopathology Image Retrieval by Attention-based Adversarially Regularized Variational Graph Autoencoder with Contrastive Learning-Based Feature Extraction. - Nematollah Saeidi; Hossein Karshenas; Bijan Shoushtarian; Sepideh Hatamikia; Ramona Woitek; Amirreza Mahbod (CoRR, 2024)

Distribution shift alignment in visual domain adaptation. - Elham Hatefi; Hossein Karshenas; Peyman Adibi (Expert Syst. Appl., 2024)

A Novel Approach to the Prediction of Alzheimer's Disease Progression by Leveraging Neural Processes and a Transformer Encoder Model. - Emad Al-Anbari; Hossein Karshenas; Bijan Shoushtarian (IEEE Access, 2025)

Multimodal Image Classification Based on Convolutional Network and Attention-Based Hidden Markov Random Field. - Elham Kordi Ghasrodashti; Peyman Adibi; Hossein Karshenas; Hamidreza Baradaran Kashani; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2025)