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ORCIDShahrokh Asadi
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2020 – today
- 2023
[j26]Marzieh Hajizadeh Tahan, Mohammad Ghasemzadeh
, Shahrokh Asadi:
A Novel Embedded Discretization-Based Deep Learning Architecture for Multivariate Time Series Classification. IEEE Trans. Ind. Informatics 19(4): 5976-5984 (2023)- [j25]Marzieh Hajizadeh Tahan, Mohammad Ghasemzadeh, Shahrokh Asadi:
Development of Fully Convolutional Neural Networks Based on Discretization in Time Series Classification. IEEE Trans. Knowl. Data Eng. 35(7): 6827-6838 (2023) - 2022
- [j24]Soheila Nikpour, Shahrokh Asadi:
A dynamic hierarchical incremental learning-based supervised clustering for data stream with considering concept drift. J. Ambient Intell. Humaniz. Comput. 13(6): 2983-3003 (2022) - [j23]Soroush Fatemifar, Shahrokh Asadi, Muhammad Awais, Ali Akbari, Josef Kittler:
Face spoofing detection ensemble via multistage optimisation and pruning. Pattern Recognit. Lett. 158: 1-8 (2022) - 2021
- [j22]Shahrokh Asadi, Seyed Ehsan Roshan, Michael W. Kattan:
Random forest swarm optimization-based for heart diseases diagnosis. J. Biomed. Informatics 115: 103690 (2021) - [j21]Shahrokh Asadi, Seyed Ehsan Roshan:
A bi-objective optimization method to produce a near-optimal number of classifiers and increase diversity in Bagging. Knowl. Based Syst. 213: 106656 (2021) - [j20]Seyed Ehsan Roshan, Shahrokh Asadi:
Development of ensemble learning classification with density peak decomposition-based evolutionary multi-objective optimization. Int. J. Mach. Learn. Cybern. 12(6): 1737-1751 (2021) - 2020
- [j19]Seyed Ehsan Roshan, Shahrokh Asadi:
Improvement of Bagging performance for classification of imbalanced datasets using evolutionary multi-objective optimization. Eng. Appl. Artif. Intell. 87 (2020) - [j18]Ataollah Shirzadi, Shahrokh Asadi, Himan Shahabi, Somayeh Ronoud, John J. Clague, Khabat Khosravi, Binh Thai Pham, Baharin Bin Ahmad, Dieu Tien Bui:
A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping. Eng. Appl. Artif. Intell. 96: 103971 (2020) - [j17]Zahra Donyavi, Shahrokh Asadi:
Diverse training dataset generation based on a multi-objective optimization for semi-Supervised classification. Pattern Recognit. 108: 107543 (2020) - [j16]Zahra Donyavi, Shahrokh Asadi:
Using decomposition-based multi-objective evolutionary algorithm as synthetic example optimization for self-labeling. Swarm Evol. Comput. 58: 100736 (2020)
2010 – 2019
- 2019
- [j15]Shahrokh Asadi:
Evolutionary fuzzification of RIPPER for regression: Case study of stock prediction. Neurocomputing 331: 121-137 (2019) - [j14]Sara Fotouhi, Shahrokh Asadi, Michael W. Kattan:
A comprehensive data level analysis for cancer diagnosis on imbalanced data. J. Biomed. Informatics 90 (2019) - [j13]Somayeh Ronoud, Shahrokh Asadi:
An evolutionary deep belief network extreme learning-based for breast cancer diagnosis. Soft Comput. 23(24): 13139-13159 (2019) - 2018
- [j12]Peyman Abbaszadeh, Atieh Alipour, Shahrokh Asadi:
Development of a coupled wavelet transform and evolutionary Levenberg-Marquardt neural networks for hydrological process modeling. Comput. Intell. 34(1): 175-199 (2018) - [j11]Marzieh Hajizadeh Tahan, Shahrokh Asadi:
EMDID: Evolutionary multi-objective discretization for imbalanced datasets. Inf. Sci. 432: 442-461 (2018) - [j10]Marzieh Hajizadeh Tahan, Shahrokh Asadi:
MEMOD: a novel multivariate evolutionary multi-objective discretization. Soft Comput. 22(1): 301-323 (2018) - [i1]Saman Sadeghyan, Shahrokh Asadi:
MS-BACO: A new Model Selection algorithm using Binary Ant Colony Optimization for neural complexity and error reduction. CoRR abs/1810.08944 (2018) - 2017
- [j9]Fatemeh Mansourypoor, Shahrokh Asadi:
Development of a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System for diabetes diagnosis. Comput. Biol. Medicine 91: 337-352 (2017) - [j8]Shahrokh Asadi, Jamal Shahrabi:
Complexity-based parallel rule induction for multiclass classification. Inf. Sci. 380: 53-73 (2017) - 2016
- [j7]S. M. R. Kazemi, Esmaeil Hadavandi, Shahaboddin Shamshirband, Shahrokh Asadi:
A novel evolutionary-negative correlated mixture of experts model in tourism demand estimation. Comput. Hum. Behav. 64: 641-655 (2016) - [j6]Shahrokh Asadi, Jamal Shahrabi:
RipMC: RIPPER for Multiclass Classification. Neurocomputing 191: 19-33 (2016) - [j5]Shahrokh Asadi, Jamal Shahrabi:
ACORI: a novel ACO algorithm for rule induction. Knowl. Based Syst. 97: 175-187 (2016) - 2013
- [j4]Shahrokh Asadi, Jamal Shahrabi, Peyman Abbaszadeh, Shabnam Tabanmehr:
A new hybrid artificial neural networks for rainfall-runoff process modeling. Neurocomputing 121: 470-480 (2013) - [j3]Jamal Shahrabi, Esmaeil Hadavandi, Shahrokh Asadi:
Developing a hybrid intelligent model for forecasting problems: Case study of tourism demand time series. Knowl. Based Syst. 43: 112-122 (2013) - 2012
- [j2]Shahrokh Asadi, Akbar Tavakoli, Seyed Reza Hejazi:
A new hybrid for improvement of auto-regressive integrated moving average models applying particle swarm optimization. Expert Syst. Appl. 39(5): 5332-5337 (2012) - [j1]Shahrokh Asadi, Esmaeil Hadavandi, Farhad Mehmanpazir, Mohammad Masoud Nakhostin:
Hybridization of evolutionary Levenberg-Marquardt neural networks and data pre-processing for stock market prediction. Knowl. Based Syst. 35: 245-258 (2012)
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