Mehdi Khashei
Orcid: 0000-0002-2607-2665
  According to our database1,
  Mehdi Khashei
  authored at least 47 papers
  between 2008 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2025
    J. Ambient Intell. Humaniz. Comput., May, 2025
    
  
Survey of the loss function in classification models: Comparative study in healthcare and medicine.
    
  
    Multim. Tools Appl., April, 2025
    
  
Wind power forecasting: A hybrid multi-layer perceptron framework with adaptive noise reduction and error correction.
    
  
    Comput. Electr. Eng., 2025
    
  
    Appl. Soft Comput., 2025
    
  
An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing.
    
  
    Array, 2025
    
  
  2024
    Multim. Tools Appl., September, 2024
    
  
    Cogn. Comput., May, 2024
    
  
A New Discrete Learning-Based Logistic Regression Classifier for Bankruptcy Prediction.
    
  
    Wirel. Pers. Commun., January, 2024
    
  
Influence of cost/loss functions on classification rate: A comparative study across diverse classifiers and domains.
    
  
    Eng. Appl. Artif. Intell., 2024
    
  
A linear directional optimum weighting (LDOW) approach for parallel hybridization of classifiers.
    
  
    Appl. Soft Comput., 2024
    
  
  2023
    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
    
  
    Biomed. Signal Process. Control., July, 2023
    
  
A novel discrete learning-based intelligent methodology for breast cancer classification purposes.
    
  
    Artif. Intell. Medicine, May, 2023
    
  
    J. Chem. Inf. Model., April, 2023
    
  
    J. Ambient Intell. Humaniz. Comput., March, 2023
    
  
    Artif. Intell. Rev., February, 2023
    
  
  2022
Sequence in Hybridization of Statistical and Intelligent Models in Time Series Forecasting.
    
  
    Neural Process. Lett., 2022
    
  
    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
    
  
    Comput. Biol. Medicine, 2022
    
  
  2021
    Soft Comput., 2021
    
  
Generalized support vector machines (GSVMs) model for real-world time series forecasting.
    
  
    Soft Comput., 2021
    
  
    Eng. Appl. Artif. Intell., 2021
    
  
A comprehensive low-risk and cost parallel hybrid method for electricity load forecasting.
    
  
    Comput. Ind. Eng., 2021
    
  
  2019
    Eng. Appl. Artif. Intell., 2019
    
  
    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
    
  
    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
    
  
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
    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