S. Asadi

发表

Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?

Jason von Meding, John J. Clague, Ataollah Shirzadi, 2020 .

Author ' s personal copy A new hybrid arti fi cial neural networks for rainfall – runoff process modeling

Peyman Abbaszadeh, Jamal Shahrabi, Shahrokh Asadi, 2013 .

A bi-objective optimization method to produce a near-optimal number of classifiers and increase diversity in Bagging

Shahrokh Asadi, Seyed Ehsan Roshan, S. Asadi, 2021, Knowl. Based Syst..

An evolutionary deep belief network extreme learning-based for breast cancer diagnosis

S. Asadi, Somayeh Ronoud, 2019, Soft Computing.

MS-BACO: A new Model Selection algorithm using Binary Ant Colony Optimization for neural complexity and error reduction pdf

Shahrokh Asadi, Saman Sadeghyan, S. Asadi, 2018, ArXiv.

A new hybrid artificial neural networks for rainfall-runoff process modeling

Peyman Abbaszadeh, Jamal Shahrabi, Shahrokh Asadi, 2013, Neurocomputing.

A dynamic hierarchical incremental learning-based supervised clustering for data stream with considering concept drift

S. Asadi, Soheila Nikpour, 2022, Journal of Ambient Intelligence and Humanized Computing.

A comprehensive data level analysis for cancer diagnosis on imbalanced data

Michael W. Kattan, Shahrokh Asadi, Sara Fotouhi, 2019, J. Biomed. Informatics.

An empowered adaptive neuro-fuzzy inference system using self-organizing map clustering to predict mass transfer kinetics in deep-fat frying of ostrich meat plates

Mohebbat Mohebbi, Shahrokh Asadi, Faramarz Khodaiyan, 2011 .

Diverse training dataset generation based on a multi-objective optimization for semi-Supervised classification

Zahra Donyavi, Shahrokh Asadi, S. Asadi, 2020, Pattern Recognit..

A study on siro, solo, compact, and conventional ring-spun yarns. Part III: modeling fiber migration using modular adaptive neuro-fuzzy inference system

Esmaeil Hadavandi, Jamal Shahrabi, Shahrokh Asadi, 2013 .

Random forest swarm optimization-based for heart diseases diagnosis

Shahrokh Asadi, Seyed Ehsan Roshan, Michael W. Kattan, 2021, J. Biomed. Informatics.

Development of a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System for diabetes diagnosis

Shahrokh Asadi, Fatemeh Mansourypoor, S. Asadi, 2017, Comput. Biol. Medicine.

An evolutionary deep belief network extreme learning-based for breast cancer diagnosis

Shahrokh Asadi, Somayeh Ronoud, S. Asadi, 2019, Soft Comput..

A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping

John J. Clague, Dieu Tien Bui, Khabat Khosravi, 2020, Eng. Appl. Artif. Intell..

Development of ensemble learning classification with density peak decomposition-based evolutionary multi-objective optimization

Shahrokh Asadi, Seyed Ehsan Roshan, S. Asadi, 2021, International Journal of Machine Learning and Cybernetics.

Improvement of Bagging performance for classification of imbalanced datasets using evolutionary multi-objective optimization

Shahrokh Asadi, Seyed Ehsan Roshan, S. Asadi, 2020, Eng. Appl. Artif. Intell..

MEMOD: a novel multivariate evolutionary multi-objective discretization

Shahrokh Asadi, Marzieh Hajizadeh Tahan, S. Asadi, 2017, Soft Computing.

ACORI: a novel ACO algorithm for rule induction

Jamal Shahrabi, Shahrokh Asadi, S. Asadi, 2016, Knowl. Based Syst..

An Efficient Grouping Genetic Algorithm for Data Clustering and Big Data Analysis

Harleen Kaur, Shahrokh Asadi, E Omid Mahdi Ebadati, 2015 .

Face spoofing detection ensemble via multistage optimisation and pruning

J. Kittler, S. Asadi, Soroush Fatemifar, 2022, Pattern Recognit. Lett..

Hybridization of evolutionary Levenberg-Marquardt neural networks and data pre-processing for stock market prediction

Esmaeil Hadavandi, Shahrokh Asadi, Farhad Mehmanpazir, 2012, Knowl. Based Syst..

A Novel Embedded Discretization-Based Deep Learning Architecture for Multivariate Time Series Classification

Marzieh Hajizadeh Tahan, S. Asadi, M. Ghasemzadeh, 2023, IEEE Transactions on Industrial Informatics.

Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm

John J. Clague, Dieu Tien Bui, Ataollah Shirzadi, 2020, Geoscience Frontiers.

Development of Fully Convolutional Neural Networks Based on Discretization in Time Series Classification

Marzieh Hajizadeh Tahan, S. Asadi, M. Ghasemzadeh, 2023, IEEE Transactions on Knowledge and Data Engineering.

Evolutionary fuzzification of RIPPER for regression: Case study of stock prediction

Shahrokh Asadi, S. Asadi, 2019, Neurocomputing.

Developing a hybrid intelligent model for forecasting problems: Case study of tourism demand time series

Esmaeil Hadavandi, Jamal Shahrabi, Shahrokh Asadi, 2013, Knowl. Based Syst..

A new hybrid for improvement of auto-regressive integrated moving average models applying particle swarm optimization

Seyed Reza Hejazi, Shahrokh Asadi, Akbar Tavakoli, 2012, Expert Syst. Appl..

Complexity-based parallel rule induction for multiclass classification

Jamal Shahrabi, Shahrokh Asadi, S. Asadi, 2017, Inf. Sci..

RipMC: RIPPER for Multiclass Classification

Jamal Shahrabi, Shahrokh Asadi, S. Asadi, 2016, Neurocomputing.

EMDID: Evolutionary multi-objective discretization for imbalanced datasets

Shahrokh Asadi, Marzieh Hajizadeh Tahan, S. Asadi, 2018, Inf. Sci..

Development of an evolutionary fuzzy expert system for estimating future behavior of stock price

Shahrokh Asadi, Farhad Mehmanpazir, S. Asadi, 2017 .

A novel measurement method for liquid density sensing using piezoelectric excited millimetric sized sensors

S. Asadi, M. Shamshirsaz, N. Sepehry, 2016 .

Improving the sensitivity of piezoelectric excited millimeter-sized cantilevers in sensing applications

Mahnaz Shamshirsaz, A. A. Kashi, S. Asadi, 2015 .

Development of a coupled wavelet transform and evolutionary Levenberg‐Marquardt neural networks for hydrological process modeling

Peyman Abbaszadeh, Shahrokh Asadi, Atieh Alipour, 2018, Comput. Intell..