Mehdi Khashei

Orcid: 0000-0003-2047-1507

According to our database1, Mehdi Khashei authored at least 38 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
A New Discrete Learning-Based Logistic Regression Classifier for Bankruptcy Prediction.
Wirel. Pers. Commun., January, 2024

2023
Weighting Approaches in Data Mining and Knowledge Discovery: A Review.
Neural Process. Lett., December, 2023

Etemadi reliability-based multi-layer perceptrons for classification and forecasting.
Inf. Sci., December, 2023

A Comparative Study of Discrete Direction vs. Continuous Distance-Based Cost Function in Energy Classification.
Int. J. Comput. Intell. Syst., December, 2023

An Optimal Hybrid Bi-Component Series-Parallel Structure for Time Series Forecasting.
IEEE Trans. Knowl. Data Eng., November, 2023

Stock turning points classification using a novel discrete learning-based methodology.
Soft Comput., July, 2023

Discrete learning-based intelligent methodology for heart disease diagnosis.
Biomed. Signal Process. Control., July, 2023

A novel discrete learning-based intelligent methodology for breast cancer classification purposes.
Artif. Intell. Medicine, May, 2023

Intelligent Discrete Deep Learning Based Classification Methodology in Chemometrics.
J. Chem. Inf. Model., April, 2023

A discrete intelligent classification methodology.
J. Ambient Intell. Humaniz. Comput., March, 2023

Hybridization of hybrid structures for time series forecasting: a review.
Artif. Intell. Rev., February, 2023

2022
Sequence in Hybridization of Statistical and Intelligent Models in Time Series Forecasting.
Neural Process. Lett., 2022

A Novel Parallel Hybrid Model Based on Series Hybrid Models of ARIMA and ANN Models.
Neural Process. Lett., 2022

A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients.
BMC Medical Informatics Decis. Mak., 2022

Analysis of effective factors on gas leakage of polyethylene pipes for the intelligent forecasting of leakage degree.
Iran J. Comput. Sci., 2022

Accuracy versus reliability-based modelling approaches for medical decision making.
Comput. Biol. Medicine, 2022

2021
Parallel hybridization of series (PHOS) models for time series forecasting.
Soft Comput., 2021

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

Current status of hybrid structures in wind forecasting.
Eng. Appl. Artif. Intell., 2021

A comprehensive low-risk and cost parallel hybrid method for electricity load forecasting.
Comput. Ind. Eng., 2021

2019
Hybrid structures in time series modeling and forecasting: A review.
Eng. Appl. Artif. Intell., 2019

A comparative study of series arima/mlp hybrid models for stock price forecasting.
Commun. Stat. Simul. Comput., 2019

A soft intelligent allocation-based hybrid model for uncertain complex time series forecasting.
Appl. Soft Comput., 2019

2018
A least squares-based parallel hybridization of statistical and intelligent models for time series forecasting.
Comput. Ind. Eng., 2018

2017
Learning speed of supervised neural networks as similarity measurement in unsupervised cluster analysis.
Intell. Data Anal., 2017

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

2013
Hybrid Fuzzy Auto-Regressive Integrated Moving Average (FARIMAH) Model for Forecasting the Foreign Exchange Markets.
Int. J. Comput. Intell. Syst., 2013

A bi-level neural-based fuzzy classification approach for credit scoring problems.
Complex., 2013

2012
Combining seasonal ARIMA models with computational intelligence techniques for time series forecasting.
Soft Comput., 2012

A fuzzy intelligent approach to the classification problem in gene expression data analysis.
Knowl. Based Syst., 2012

A novel hybrid classification model of artificial neural networks and multiple linear regression models.
Expert Syst. Appl., 2012

A new class of hybrid models for time series forecasting.
Expert Syst. Appl., 2012

Hybridization of the probabilistic neural networks with feed-forward neural networks for forecasting.
Eng. Appl. Artif. Intell., 2012

Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs).
Comput. Ind. Eng., 2012

2011
A novel hybridization of artificial neural networks and ARIMA models for time series forecasting.
Appl. Soft Comput., 2011

2010
An artificial neural network (p, d, q) model for timeseries forecasting.
Expert Syst. Appl., 2010

2009
Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs).
Neurocomputing, 2009

2008
A new hybrid artificial neural networks and fuzzy regression model for time series forecasting.
Fuzzy Sets Syst., 2008


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