Hossein Karshenas

According to our database, Hossein Karshenas authored at least 28 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distribution shift alignment in visual domain adaptation.

Elham Hatefi, Hossein Karshenas, Peyman Adibi

Expert Syst. Appl., January, 2024

FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint.

Hadi Tabealhojeh, Soumava Kumar Roy, Peyman Adibi, Hossein Karshenas

CoRR, 2024

2023

Parallel encoder-decoder framework for image captioning.

Reyhane Saeidimesineh, Peyman Adibi, Hossein Karshenas, Alireza Darvishy

Knowl. Based Syst., December, 2023

RMAML: Riemannian meta-learning with orthogonality constraints.

Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi

Pattern Recognit., August, 2023

Multi-modal reward for visual relationships-based image captioning.

Ali Abedi, Hossein Karshenas, Peyman Adibi

CoRR, 2023

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

2022

Fuzzy Word Sense Induction and Disambiguation.

Parham Kazemi, Hossein Karshenas

IEEE Trans. Fuzzy Syst., 2022

Deep fusion of gray level co-occurrence matrices for lung nodule classification.

Ahmed Saihood, Hossein Karshenas, Ahmad Reza Naghsh-Nilchi

CoRR, 2022

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

2021

Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism.

Mohsen Fatehifar, Hossein Karshenas

J. Biomed. Informatics, 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

Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification.

Maysam Behmanesh, Peyman Adibi, Hossein Karshenas

CoRR, 2021

2020

PCB Defect Detection Using Denoising Convolutional Autoencoders.

Saeed Khalilian, Yeganeh Hallaj, Arian Balouchestani, Hossein Karshenas, Amir Mohammadi

CoRR, 2020

2018

KNN-based multi-label twin support vector machine with priority of labels.

Zahra Hanifelou, Peyman Adibi, Sayyed Amirhassan Monadjemi, Hossein Karshenas

Neurocomputing, 2018

2016

Multi-structure problems: Difficult model learning in discrete EDAs.

Amin Nikanjam, Hossein Karshenas

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Interval-based ranking in noisy evolutionary multi-objective optimization.

Hossein Karshenas, Concha Bielza, Pedro Larrañaga

Comput. Optim. Appl., 2015

2014

Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables.

Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga

IEEE Trans. Evol. Comput., 2014

Complexity of model learning in EDAs: multi-structure problems.

Hadi Sharifi, Amin Nikanjam, Hossein Karshenas, Negar Najimi

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Regularized model learning in EDAs for continuous and multi-objective optimization.

Hossein Karshenas

PhD thesis, 2013

A review on evolutionary algorithms in Bayesian network learning and inference tasks.

Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana

Inf. Sci., 2013

Regularized continuous estimation of distribution algorithms.

Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga

Appl. Soft Comput., 2013

2012

A review on probabilistic graphical models in evolutionary computation.

Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana

J. Heuristics, 2012

2011

A New N-gram Feature Extraction-Selection Method for Malicious Code.

Hamid Parvin, Behrouz Minaei, Hossein Karshenas, Akram Beigi

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods.

Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Regularized k-order markov models in EDAs.

Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables.

Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga

Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

2009

Combinatorial effects of local structures and scoring metrics in bayesian optimization algorithm.

Hossein Karshenas, Amin Nikanjam, B. Hoda Helmi, Adel Torkaman Rahmani

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

2008

A similarity-window based background estimation approach.

Ehsan Shahrian, Hossein Karshenas, Mahmood Fathy

Proceedings of the 6th ACS/IEEE International Conference on Computer Systems and Applications, 2008