Mehdi Khashei

According to our database, Mehdi Khashei authored at least 42 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A discrete learning-based intelligent classifier for breast cancer classification.

Mehdi Khashei, Negar Bakhtiarvand, Parsa Ahmadi

Multim. Tools Appl., September, 2024

A Novel Discrete Deep Learning-Based Cancer Classification Methodology.

Marzieh Soltani, Mehdi Khashei, Negar Bakhtiarvand

Cogn. Comput., May, 2024

A New Discrete Learning-Based Logistic Regression Classifier for Bankruptcy Prediction.

Mehdi Khashei, Sepideh Etemadi, Negar Bakhtiarvand

Wirel. Pers. Commun., January, 2024

Influence of cost/loss functions on classification rate: A comparative study across diverse classifiers and domains.

Fatemeh Chahkoutahi, Mehdi Khashei

Eng. Appl. Artif. Intell., 2024

A linear directional optimum weighting (LDOW) approach for parallel hybridization of classifiers.

Zahra Hajirahimi, Mehdi Khashei, Negar Bakhtiarvand

Appl. Soft Comput., 2024

2023

Weighting Approaches in Data Mining and Knowledge Discovery: A Review.

Zahra Hajirahimi, Mehdi Khashei

Neural Process. Lett., December, 2023

Etemadi reliability-based multi-layer perceptrons for classification and forecasting.

Sepideh Etemadi, Mehdi Khashei, Saba Tamizi

Inf. Sci., December, 2023

A Comparative Study of Discrete Direction vs. Continuous Distance-Based Cost Function in Energy Classification.

Mehdi Khashei, Sepideh Etemadi, Negar Bakhtiarvand

Int. J. Comput. Intell. Syst., December, 2023

An Optimal Hybrid Bi-Component Series-Parallel Structure for Time Series Forecasting.

Zahra Hajirahimi, Mehdi Khashei

IEEE Trans. Knowl. Data Eng., November, 2023

Stock turning points classification using a novel discrete learning-based methodology.

Mehdi Khashei, Fateme Yazdani, Negar Bakhtiarvand

Soft Comput., July, 2023

Discrete learning-based intelligent methodology for heart disease diagnosis.

Mehdi Khashei, Negar Bakhtiarvand

Biomed. Signal Process. Control., July, 2023

A novel discrete learning-based intelligent methodology for breast cancer classification purposes.

Mehdi Khashei, Negar Bakhtiarvand

Artif. Intell. Medicine, May, 2023

Intelligent Discrete Deep Learning Based Classification Methodology in Chemometrics.

Mehdi Khashei, Erfan Nazgouei, Negar Bakhtiarvand

J. Chem. Inf. Model., April, 2023

A discrete intelligent classification methodology.

Mehdi Khashei, Negar Bakhtiarvand

J. Ambient Intell. Humaniz. Comput., March, 2023

Hybridization of hybrid structures for time series forecasting: a review.

Zahra Hajirahimi, Mehdi Khashei

Artif. Intell. Rev., February, 2023

2022

Sequence in Hybridization of Statistical and Intelligent Models in Time Series Forecasting.

Zahra Hajirahimi, Mehdi Khashei

Neural Process. Lett., 2022

A Novel Parallel Hybrid Model Based on Series Hybrid Models of ARIMA and ANN Models.

Zahra Hajirahimi, Mehdi Khashei

Neural Process. Lett., 2022

A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients.

Negar Bakhtiarvand, Mehdi Khashei, Mehdi Mahnam, Somayeh Hajiahmadi

BMC Medical Informatics Decis. Mak., 2022

Analysis of effective factors on gas leakage of polyethylene pipes for the intelligent forecasting of leakage degree.

Saba Tamizi, Mehdi Bijari, Mehdi Khashei

Iran J. Comput. Sci., 2022

Accuracy versus reliability-based modelling approaches for medical decision making.

Sepideh Etemadi, Mehdi Khashei

Comput. Biol. Medicine, 2022

2021

Parallel hybridization of series (PHOS) models for time series forecasting.

Zahra Hajirahimi, Mehdi Khashei

Soft Comput., 2021

Generalized support vector machines (GSVMs) model for real-world time series forecasting.

Mehrnaz Ahmadi, Mehdi Khashei

Soft Comput., 2021

Current status of hybrid structures in wind forecasting.

Mehrnaz Ahmadi, Mehdi Khashei

Eng. Appl. Artif. Intell., 2021

A comprehensive low-risk and cost parallel hybrid method for electricity load forecasting.

Mehdi Khashei, Fatemeh Chahkoutahi

Comput. Ind. Eng., 2021

2019

Hybrid structures in time series modeling and forecasting: A review.

Zahra Hajirahimi, Mehdi Khashei

Eng. Appl. Artif. Intell., 2019

A comparative study of series arima/mlp hybrid models for stock price forecasting.

Mehdi Khashei, Zahra Hajirahimi

Commun. Stat. Simul. Comput., 2019

A soft intelligent allocation-based hybrid model for uncertain complex time series forecasting.

Pegah Amini, Mehdi Khashei

Appl. Soft Comput., 2019

2018

A least squares-based parallel hybridization of statistical and intelligent models for time series forecasting.

Zahra Haji Rahimi, Mehdi Khashei

Comput. Ind. Eng., 2018

2017

Learning speed of supervised neural networks as similarity measurement in unsupervised cluster analysis.

Mehdi Khashei

Intell. Data Anal., 2017

2014

Fuzzy artificial neural network (p, d, q) model for incomplete financial time series forecasting.

Mehdi Khashei, Mehdi Bijari

J. Intell. Fuzzy Syst., 2014

2013

Hybrid Fuzzy Auto-Regressive Integrated Moving Average (FARIMAH) Model for Forecasting the Foreign Exchange Markets.

Mehdi Khashei, Farimah Mokhatab Rafiei, Mehdi Bijari

Int. J. Comput. Intell. Syst., 2013

A bi-level neural-based fuzzy classification approach for credit scoring problems.

Mehdi Khashei, Mohammad Taghi Rezvan, Ali Zeinal Hamadani, Mehdi Bijari

Complex., 2013

2012

Combining seasonal ARIMA models with computational intelligence techniques for time series forecasting.

Mehdi Khashei, Mehdi Bijari, Seyed Reza Hejazi

Soft Comput., 2012

A fuzzy intelligent approach to the classification problem in gene expression data analysis.

Mehdi Khashei, Ali Zeinal Hamadani, Mehdi Bijari

Knowl. Based Syst., 2012

A novel hybrid classification model of artificial neural networks and multiple linear regression models.

Mehdi Khashei, Ali Zeinal Hamadani, Mehdi Bijari

Expert Syst. Appl., 2012

A new class of hybrid models for time series forecasting.

Mehdi Khashei, Mehdi Bijari

Expert Syst. Appl., 2012

Hybridization of the probabilistic neural networks with feed-forward neural networks for forecasting.

Mehdi Khashei, Mehdi Bijari

Eng. Appl. Artif. Intell., 2012

Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs).

Mehdi Khashei, Mehdi Bijari, Gholam Ali Raissi Ardali

Comput. Ind. Eng., 2012

2011

A novel hybridization of artificial neural networks and ARIMA models for time series forecasting.

Mehdi Khashei, Mehdi Bijari

Appl. Soft Comput., 2011

2010

An artificial neural network (p, d, q) model for timeseries forecasting.

Mehdi Khashei, Mehdi Bijari

Expert Syst. Appl., 2010

2009

Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs).

Mehdi Khashei, Mehdi Bijari, Gholam Ali Raissi Ardali

Neurocomputing, 2009

2008

A new hybrid artificial neural networks and fuzzy regression model for time series forecasting.

Mehdi Khashei, Seyed Reza Hejazi, Mehdi Bijari

Fuzzy Sets Syst., 2008