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)

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)

An artificial neural network (p, d, q) model for timeseries forecasting. - Mehdi Khashei; Mehdi Bijari (Expert Syst. Appl., 2010)

A novel hybridization of artificial neural networks and ARIMA models for time series forecasting. - Mehdi Khashei; Mehdi Bijari (Appl. Soft Comput., 2011)

Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs). - Mehdi Khashei; Mehdi Bijari; Gholam Ali Raissi Ardali (Comput. Ind. Eng., 2012)

Hybridization of the probabilistic neural networks with feed-forward neural networks for forecasting. - Mehdi Khashei; Mehdi Bijari (Eng. Appl. Artif. Intell., 2012)

A new class of hybrid models for time series forecasting. - Mehdi Khashei; Mehdi Bijari (Expert Syst. Appl., 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 fuzzy intelligent approach to the classification problem in gene expression data analysis. - Mehdi Khashei; Ali Zeinal Hamadani; Mehdi Bijari (Knowl. Based Syst., 2012)

Combining seasonal ARIMA models with computational intelligence techniques for time series forecasting. - Mehdi Khashei; Mehdi Bijari; Seyed Reza Hejazi (Soft Comput., 2012)

A bi-level neural-based fuzzy classification approach for credit scoring problems. - Mehdi Khashei; Mohammad Taghi Rezvan; Ali Zeinal Hamadani; Mehdi Bijari (Complex., 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)

Fuzzy artificial neural network (p, d, q) model for incomplete financial time series forecasting. - Mehdi Khashei; Mehdi Bijari (J. Intell. Fuzzy Syst., 2014)

Learning speed of supervised neural networks as similarity measurement in unsupervised cluster analysis. - Mehdi Khashei (Intell. Data Anal., 2017)

A least squares-based parallel hybridization of statistical and intelligent models for time series forecasting. - Zahra Haji Rahimi; Mehdi Khashei (Comput. Ind. Eng., 2018)

A soft intelligent allocation-based hybrid model for uncertain complex time series forecasting. - Pegah Amini; Mehdi Khashei (Appl. Soft Comput., 2019)

A comparative study of series arima/mlp hybrid models for stock price forecasting. - Mehdi Khashei; Zahra Hajirahimi (Commun. Stat. Simul. Comput., 2019)

Hybrid structures in time series modeling and forecasting: A review. - Zahra Hajirahimi; Mehdi Khashei (Eng. Appl. Artif. Intell., 2019)

A comprehensive low-risk and cost parallel hybrid method for electricity load forecasting. - Mehdi Khashei; Fatemeh Chahkoutahi (Comput. Ind. Eng., 2021)

Current status of hybrid structures in wind forecasting. - Mehrnaz Ahmadi; Mehdi Khashei (Eng. Appl. Artif. Intell., 2021)

Generalized support vector machines (GSVMs) model for real-world time series forecasting. - Mehrnaz Ahmadi; Mehdi Khashei (Soft Comput., 2021)

Parallel hybridization of series (PHOS) models for time series forecasting. - Zahra Hajirahimi; Mehdi Khashei (Soft Comput., 2021)

Accuracy versus reliability-based modelling approaches for medical decision making. - Sepideh Etemadi; Mehdi Khashei (Comput. Biol. Medicine, 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)

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)

A Novel Parallel Hybrid Model Based on Series Hybrid Models of ARIMA and ANN Models. - Zahra Hajirahimi; Mehdi Khashei (Neural Process. Lett., 2022)

Sequence in Hybridization of Statistical and Intelligent Models in Time Series Forecasting. - Zahra Hajirahimi; Mehdi Khashei (Neural Process. Lett., 2022)

Hybridization of hybrid structures for time series forecasting: a review. - Zahra Hajirahimi; Mehdi Khashei (Artif. Intell. Rev., 2023)

A discrete intelligent classification methodology. - Mehdi Khashei; Negar Bakhtiarvand (J. Ambient Intell. Humaniz. Comput., 2023)

Intelligent Discrete Deep Learning Based Classification Methodology in Chemometrics. - Mehdi Khashei; Erfan Nazgouei; Negar Bakhtiarvand (J. Chem. Inf. Model., 2023)

A novel discrete learning-based intelligent methodology for breast cancer classification purposes. - Mehdi Khashei; Negar Bakhtiarvand (Artif. Intell. Medicine, 2023)

Discrete learning-based intelligent methodology for heart disease diagnosis. - Mehdi Khashei; Negar Bakhtiarvand (Biomed. Signal Process. Control., 2023)

Stock turning points classification using a novel discrete learning-based methodology. - Mehdi Khashei; Fateme Yazdani; Negar Bakhtiarvand (Soft Comput., 2023)

An Optimal Hybrid Bi-Component Series-Parallel Structure for Time Series Forecasting. - Zahra Hajirahimi; Mehdi Khashei (IEEE Trans. Knowl. Data Eng., 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., 2023)

Etemadi reliability-based multi-layer perceptrons for classification and forecasting. - Sepideh Etemadi; Mehdi Khashei; Saba Tamizi (Inf. Sci., 2023)

Weighting Approaches in Data Mining and Knowledge Discovery: A Review. - Zahra Hajirahimi; Mehdi Khashei (Neural Process. Lett., 2023)

A linear directional optimum weighting (LDOW) approach for parallel hybridization of classifiers. - Zahra Hajirahimi; Mehdi Khashei; Negar Bakhtiarvand (Appl. Soft Comput., 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 New Discrete Learning-Based Logistic Regression Classifier for Bankruptcy Prediction. - Mehdi Khashei; Sepideh Etemadi; Negar Bakhtiarvand (Wirel. Pers. Commun., 2024)

A Novel Discrete Deep Learning-Based Cancer Classification Methodology. - Marzieh Soltani; Mehdi Khashei; Negar Bakhtiarvand (Cogn. Comput., 2024)

A discrete learning-based intelligent classifier for breast cancer classification. - Mehdi Khashei; Negar Bakhtiarvand; Parsa Ahmadi (Multim. Tools Appl., 2024)

An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing. - Morteza Ebrahimpour; Mehdi Khashei (Array, 2025)

Survey of the loss function in classification models: Comparative study in healthcare and medicine. - Sepideh Etemadi; Mehdi Khashei (Multim. Tools Appl., 2025)

Reliable jumping deep learning (RJDL) classifiers. - Mehdi Khashei; Fatemeh Chahkoutahi; Ali Zeinal Hamadani (J. Ambient Intell. Humaniz. Comput., 2025)