Hossein Karshenas

发表

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

Hossein Karshenas, 2013 .

An Interval-based Multiobjective Approach to Feature Subset Selection Using Joint Modeling of Objectives and Variables

C. Bielza, Qingfu Zhang, P. Múgica, 2012 .

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

A. Naghsh-Nilchi, Hossein Karshenas, A. Saihood, 2022, 2205.05123.

Regularized k-order markov models in EDAs

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2011, GECCO '11.

Fuzzy Word Sense Induction and Disambiguation

Hossein Karshenas, Parham Kazemi, 2022, IEEE Transactions on Fuzzy Systems.

An EDA-based method for solving electric vehicle charging scheduling problem under limited power and maximum imbalance constraints

M. Esmaelian, Hossein Karshenas, Hadi Shahmoradi, 2022, Comput. Ind. Eng..

A review on probabilistic graphical models in evolutionary computation

C. Bielza, P. Larrañaga, Roberto Santana, 2012, Journal of Heuristics.

Spatial-channel attention-based stochastic neighboring embedding pooling and long-short-term memory for lung nodules classification

A. Nilchi, Hossein Karshenas, A. Saihood, 2022, 2022 12th International Conference on Computer and Knowledge Engineering (ICCKE).

Interval-based ranking in noisy evolutionary multi-objective optimization

C. Bielza, P. Larrañaga, Hossein Karshenas, 2014, Computational Optimization and Applications.

Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2012 .

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

Hossein Karshenas, Mohsen Fatehifar, Hossein Karshenas, 2021, J. Biomed. Informatics.

Regularized continuous estimation of distribution algorithms

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2013, Appl. Soft Comput..

Interval-based ranking in noisy evolutionary multi-objective optimization

Concha Bielza, Pedro Larrañaga, Hossein Karshenas, 2014, Computational Optimization and Applications.

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

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2013, Inf. Sci..

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

Hossein Karshenas, Peyman Adibi, Maysam Behmanesh, 2021, ArXiv.

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

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2014, IEEE Transactions on Evolutionary Computation.

A review on probabilistic graphical models in evolutionary computation

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2012, Journal of Heuristics.

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

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2011, EMO.

Multi-modal reward for visual relationships-based image captioning

A. Abedi, Hossein Karshenas, Peyman Adibi, 2023, ArXiv.

RMAML: Riemannian meta-learning with orthogonality constraints

Mehrtash Harandi, S. Roy, Hossein Karshenas, 2023, Pattern Recognit..

Multi-Orientation Local Texture Features for Guided Attention-Based Fusion in Lung Nodule Classification

A. Naghsh-Nilchi, Hossein Karshenas, A. Saihood, 2023, IEEE Access.

Subspace Learning Augmented with Class Conditional Probability Estimation Based on SVM Classifier in Domain Adaptation

Hossein Karshenas, Peyman Adibi, Elham Hatefi, 2020, 2020 25th International Computer Conference, Computer Society of Iran (CSICC).

PCB Defect Detection Using Denoising Convolutional Autoencoders

Hossein Karshenas, Arian Balouchestani, Yeganeh Hallaj, 2020, 2020 International Conference on Machine Vision and Image Processing (MVIP).

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

Hossein Karshenas, Peyman Adibi, S. A. Monadjemi, 2018, Neurocomputing.

Learning multi-objective binary features for image representation

Hossein Karshenas, Hossein Mahvash Mohammadi, Nemat Saeidi, 2017, 2017 7th International Conference on Computer and Knowledge Engineering (ICCKE).

Memory- and time-efficient dense network for single-image super-resolution

Thomas B. Moeslund, Hossein Karshenas, Kamal Nasrollahi, 2021, IET Signal Process..

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

A. Naghsh-Nilchi, Hossein Karshenas, A. Saihood, 2022, PloS one.