Hossein Karshenas

32 papers A 1B 1C 2Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Novel Approach to the Prediction of Alzheimer's Disease Progression by Leveraging Neural Processes and a Transformer Encoder Model. IEEE Access Emad Al-Anbari, Hossein Karshenas, Bijan Shoushtarian
2025	J	`jnl`	Multimodal Image Classification Based on Convolutional Network and Attention-Based Hidden Markov Random Field. IEEE Trans. Geosci. Remote. Sens. Elham Kordi Ghasrodashti, Peyman Adibi, Hossein Karshenas, Hamidreza Baradaran Kashani, Jocelyn Chanussot
2025	J	`jnl`	PrismSSL: One Interface, Many Modalities; A Single-Interface Library for Multimodal Self-Supervised Learning. CoRR Melika Shirian, Kianoosh Vadaei, Kian Majlessi, Audrina Ebrahimi, Arshia Hemmat, Peyman Adibi, Hossein Karshenas
2024	J	`jnl`	Breast Histopathology Image Retrieval by Attention-based Adversarially Regularized Variational Graph Autoencoder with Contrastive Learning-Based Feature Extraction. CoRR Nematollah Saeidi, Hossein Karshenas, Bijan Shoushtarian, Sepideh Hatamikia, Ramona Woitek, Amirreza Mahbod
2024	J	`jnl`	Distribution shift alignment in visual domain adaptation. Expert Syst. Appl. Elham Hatefi, Hossein Karshenas, Peyman Adibi
2024	J	`jnl`	FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint. CoRR Hadi Tabealhojeh, Soumava Kumar Roy, Peyman Adibi, Hossein Karshenas
2023	J	`jnl`	Multi-Orientation Local Texture Features for Guided Attention-Based Fusion in Lung Nodule Classification. IEEE Access Ahmed Saihood, Hossein Karshenas, Ahmad Reza Naghsh-Nilchi
2023	J	`jnl`	Multi-modal reward for visual relationships-based image captioning. CoRR Ali Abedi, Hossein Karshenas, Peyman Adibi
2023	J	`jnl`	Parallel encoder-decoder framework for image captioning. Knowl. Based Syst. Reyhane Saeidimesineh, Peyman Adibi, Hossein Karshenas, Alireza Darvishy
2023	J	`jnl`	RMAML: Riemannian meta-learning with orthogonality constraints. Pattern Recognit. Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi
2022	J	`jnl`	An EDA-based method for solving electric vehicle charging scheduling problem under limited power and maximum imbalance constraints. Comput. Ind. Eng. Hadi Shahmoradi, Majid Esmaelian, Hossein Karshenas
2022	J	`jnl`	Deep fusion of gray level co-occurrence matrices for lung nodule classification. CoRR Ahmed Saihood, Hossein Karshenas, Ahmad Reza Naghsh-Nilchi
2022	J	`jnl`	Fuzzy Word Sense Induction and Disambiguation. IEEE Trans. Fuzzy Syst. Parham Kazemi, Hossein Karshenas
2021	J	`jnl`	Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism. J. Biomed. Informatics Mohsen Fatehifar, Hossein Karshenas
2021	J	`jnl`	Memory- and time-efficient dense network for single-image super-resolution. IET Signal Process. Nasrin Imanpour, Ahmad Reza Naghsh-Nilchi, Amirhassan Monadjemi, Hossein Karshenas, Kamal Nasrollahi, Thomas B. Moeslund
2021	J	`jnl`	Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification. CoRR Maysam Behmanesh, Peyman Adibi, Hossein Karshenas
2020	J	`jnl`	PCB Defect Detection Using Denoising Convolutional Autoencoders. CoRR Saeed Khalilian, Yeganeh Hallaj, Arian Balouchestani, Hossein Karshenas, Amir Mohammadi
2018	J	`jnl`	KNN-based multi-label twin support vector machine with priority of labels. Neurocomputing Zahra Hanifelou, Peyman Adibi, Sayyed Amirhassan Monadjemi, Hossein Karshenas
2016	B	`conf`	Multi-structure problems: Difficult model learning in discrete EDAs. CEC Amin Nikanjam, Hossein Karshenas
2015	J	`jnl`	Interval-based ranking in noisy evolutionary multi-objective optimization. Comput. Optim. Appl. Hossein Karshenas, Concha Bielza, Pedro Larrañaga
2014	—	`conf`	Complexity of model learning in EDAs: multi-structure problems. GECCO (Companion) Hadi Sharifi, Amin Nikanjam, Hossein Karshenas, Negar Najimi
2014	J	`jnl`	Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables. IEEE Trans. Evol. Comput. Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga
2013	J	`jnl`	A review on evolutionary algorithms in Bayesian network learning and inference tasks. Inf. Sci. Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana
2013	J	`jnl`	Regularized continuous estimation of distribution algorithms. Appl. Soft Comput. Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga
2013	—	`—`	Regularized model learning in EDAs for continuous and multi-objective optimization. Hossein Karshenas
2012	J	`jnl`	A review on probabilistic graphical models in evolutionary computation. J. Heuristics Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana
2011	—	`conf`	A New N-gram Feature Extraction-Selection Method for Malicious Code. ICANNGA (2) Hamid Parvin, Behrouz Minaei, Hossein Karshenas, Akram Beigi
2011	C	`conf`	Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables. EMO Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga
2011	—	`conf`	Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods. GECCO (Companion) Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga
2011	A	`conf`	Regularized k-order markov models in EDAs. GECCO Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga
2009	—	`conf`	Combinatorial effects of local structures and scoring metrics in bayesian optimization algorithm. GEC Summit Hossein Karshenas, Amin Nikanjam, B. Hoda Helmi, Adel Torkaman Rahmani
2008	C	`conf`	A similarity-window based background estimation approach. AICCSA Ehsan Shahrian, Hossein Karshenas, Mahmood Fathy