Shahrokh Asadi
Orcid: 0000-0003-1968-0547
According to our database1,
Shahrokh Asadi
authored at least 28 papers
between 2012 and 2025.
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Bibliography
2025
Enhancing Cardiovascular Disease Diagnosis: The Power of Optimized Ensemble Learning.
IEEE Access, 2025
2023
Development of Fully Convolutional Neural Networks Based on Discretization in Time Series Classification.
IEEE Trans. Knowl. Data Eng., July, 2023
A Novel Embedded Discretization-Based Deep Learning Architecture for Multivariate Time Series Classification.
IEEE Trans. Ind. Informatics, April, 2023
2022
Pattern Recognit. Lett., 2022
A dynamic hierarchical incremental learning-based supervised clustering for data stream with considering concept drift.
J. Ambient Intell. Humaniz. Comput., 2022
2021
Development of ensemble learning classification with density peak decomposition-based evolutionary multi-objective optimization.
Int. J. Mach. Learn. Cybern., 2021
A bi-objective optimization method to produce a near-optimal number of classifiers and increase diversity in Bagging.
Knowl. Based Syst., 2021
J. Biomed. Informatics, 2021
2020
Using decomposition-based multi-objective evolutionary algorithm as synthetic example optimization for self-labeling.
Swarm Evol. Comput., 2020
Diverse training dataset generation based on a multi-objective optimization for semi-Supervised classification.
Pattern Recognit., 2020
A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping.
Eng. Appl. Artif. Intell., 2020
Improvement of Bagging performance for classification of imbalanced datasets using evolutionary multi-objective optimization.
Eng. Appl. Artif. Intell., 2020
2019
An evolutionary deep belief network extreme learning-based for breast cancer diagnosis.
Soft Comput., 2019
J. Biomed. Informatics, 2019
Neurocomputing, 2019
2018
Soft Comput., 2018
Inf. Sci., 2018
MS-BACO: A new Model Selection algorithm using Binary Ant Colony Optimization for neural complexity and error reduction.
CoRR, 2018
Development of a coupled wavelet transform and evolutionary Levenberg-Marquardt neural networks for hydrological process modeling.
Comput. Intell., 2018
2017
Inf. Sci., 2017
Development of a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System for diabetes diagnosis.
Comput. Biol. Medicine, 2017
2016
A novel evolutionary-negative correlated mixture of experts model in tourism demand estimation.
Comput. Hum. Behav., 2016
2013
Developing a hybrid intelligent model for forecasting problems: Case study of tourism demand time series.
Knowl. Based Syst., 2013
Neurocomputing, 2013
2012
Hybridization of evolutionary Levenberg-Marquardt neural networks and data pre-processing for stock market prediction.
Knowl. Based Syst., 2012
A new hybrid for improvement of auto-regressive integrated moving average models applying particle swarm optimization.
Expert Syst. Appl., 2012