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ORCIDMehdi Khashei
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Journal Articles
- 2024
[j42]Zahra Hajirahimi, Mehdi Khashei
, Negar Bakhtiarvand:
A linear directional optimum weighting (LDOW) approach for parallel hybridization of classifiers. Appl. Soft Comput. 161: 111754 (2024)- [j41]Marzieh Soltani, Mehdi Khashei, Negar Bakhtiarvand:
A Novel Discrete Deep Learning-Based Cancer Classification Methodology. Cogn. Comput. 16(3): 1345-1363 (2024) - [j40]Fatemeh Chahkoutahi, Mehdi Khashei:
Influence of cost/loss functions on classification rate: A comparative study across diverse classifiers and domains. Eng. Appl. Artif. Intell. 128: 107415 (2024) - [j39]Mehdi Khashei, Negar Bakhtiarvand, Parsa Ahmadi:
A discrete learning-based intelligent classifier for breast cancer classification. Multim. Tools Appl. 83(32): 78269-78292 (2024) - [j38]Mehdi Khashei, Sepideh Etemadi, Negar Bakhtiarvand:
A New Discrete Learning-Based Logistic Regression Classifier for Bankruptcy Prediction. Wirel. Pers. Commun. 134(2): 1075-1092 (2024) - 2023
- [j37]Zahra Hajirahimi, Mehdi Khashei:
Hybridization of hybrid structures for time series forecasting: a review. Artif. Intell. Rev. 56(2): 1201-1261 (2023) - [j36]Mehdi Khashei, Negar Bakhtiarvand:
A novel discrete learning-based intelligent methodology for breast cancer classification purposes. Artif. Intell. Medicine 139: 102492 (2023) - [j35]Mehdi Khashei, Negar Bakhtiarvand:
Discrete learning-based intelligent methodology for heart disease diagnosis. Biomed. Signal Process. Control. 84: 104700 (2023) - [j34]Mehdi Khashei, Sepideh Etemadi, Negar Bakhtiarvand:
A Comparative Study of Discrete Direction vs. Continuous Distance-Based Cost Function in Energy Classification. Int. J. Comput. Intell. Syst. 16(1): 66 (2023) - [j33]Sepideh Etemadi, Mehdi Khashei, Saba Tamizi:
Etemadi reliability-based multi-layer perceptrons for classification and forecasting. Inf. Sci. 651: 119716 (2023) - [j32]Mehdi Khashei, Negar Bakhtiarvand:
A discrete intelligent classification methodology. J. Ambient Intell. Humaniz. Comput. 14(3): 2455-2465 (2023) - [j31]Mehdi Khashei, Erfan Nazgouei, Negar Bakhtiarvand:
Intelligent Discrete Deep Learning Based Classification Methodology in Chemometrics. J. Chem. Inf. Model. 63(7): 1935-1946 (2023) - [j30]Zahra Hajirahimi, Mehdi Khashei:
Weighting Approaches in Data Mining and Knowledge Discovery: A Review. Neural Process. Lett. 55(8): 10393-10438 (2023) - [j29]Mehdi Khashei, Fateme Yazdani, Negar Bakhtiarvand:
Stock turning points classification using a novel discrete learning-based methodology. Soft Comput. 27(13): 8697-8710 (2023) - [j28]Zahra Hajirahimi, Mehdi Khashei:
An Optimal Hybrid Bi-Component Series-Parallel Structure for Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 35(11): 11067-11078 (2023) - 2022
- [j27]Sepideh Etemadi, Mehdi Khashei:
Accuracy versus reliability-based modelling approaches for medical decision making. Comput. Biol. Medicine 141: 105138 (2022) - [j26]Saba Tamizi, Mehdi Bijari, Mehdi Khashei:
Analysis of effective factors on gas leakage of polyethylene pipes for the intelligent forecasting of leakage degree. Iran J. Comput. Sci. 5(4): 289-300 (2022) - [j25]Negar Bakhtiarvand, Mehdi Khashei, Mehdi Mahnam, Somayeh Hajiahmadi:
A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients. BMC Medical Informatics Decis. Mak. 22(1): 123 (2022) - [j24]Zahra Hajirahimi, Mehdi Khashei:
A Novel Parallel Hybrid Model Based on Series Hybrid Models of ARIMA and ANN Models. Neural Process. Lett. 54(3): 2319-2337 (2022) - [j23]Zahra Hajirahimi, Mehdi Khashei:
Sequence in Hybridization of Statistical and Intelligent Models in Time Series Forecasting. Neural Process. Lett. 54(5): 3619-3639 (2022) - 2021
- [j22]Mehdi Khashei, Fatemeh Chahkoutahi:
A comprehensive low-risk and cost parallel hybrid method for electricity load forecasting. Comput. Ind. Eng. 155: 107182 (2021) - [j21]Mehrnaz Ahmadi, Mehdi Khashei:
Current status of hybrid structures in wind forecasting. Eng. Appl. Artif. Intell. 99: 104133 (2021) - [j20]Zahra Hajirahimi, Mehdi Khashei:
Parallel hybridization of series (PHOS) models for time series forecasting. Soft Comput. 25(1): 659-672 (2021) - [j19]Mehrnaz Ahmadi, Mehdi Khashei:
Generalized support vector machines (GSVMs) model for real-world time series forecasting. Soft Comput. 25(22): 14139-14154 (2021) - 2019
- [j18]Pegah Amini, Mehdi Khashei:
A soft intelligent allocation-based hybrid model for uncertain complex time series forecasting. Appl. Soft Comput. 84 (2019) - [j17]Mehdi Khashei, Zahra Hajirahimi:
A comparative study of series arima/mlp hybrid models for stock price forecasting. Commun. Stat. Simul. Comput. 48(9): 2625-2640 (2019) - [j16]Zahra Hajirahimi, Mehdi Khashei:
Hybrid structures in time series modeling and forecasting: A review. Eng. Appl. Artif. Intell. 86: 83-106 (2019) - 2018
- [j15]Zahra Haji Rahimi, Mehdi Khashei:
A least squares-based parallel hybridization of statistical and intelligent models for time series forecasting. Comput. Ind. Eng. 118: 44-53 (2018) - 2017
- [j14]Mehdi Khashei:
Learning speed of supervised neural networks as similarity measurement in unsupervised cluster analysis. Intell. Data Anal. 21(4): 867-892 (2017) - 2014
- [j13]Mehdi Khashei, Mehdi Bijari:
Fuzzy artificial neural network (p, d, q) model for incomplete financial time series forecasting. J. Intell. Fuzzy Syst. 26(2): 831-845 (2014) - 2013
- [j12]Mehdi Khashei, Mohammad Taghi Rezvan, Ali Zeinal Hamadani, Mehdi Bijari:
A bi-level neural-based fuzzy classification approach for credit scoring problems. Complex. 18(6): 46-57 (2013) - [j11]Mehdi Khashei, Farimah Mokhatab Rafiei, Mehdi Bijari:
Hybrid Fuzzy Auto-Regressive Integrated Moving Average (FARIMAH) Model for Forecasting the Foreign Exchange Markets. Int. J. Comput. Intell. Syst. 6(5): 954-968 (2013) - 2012
- [j10]Mehdi Khashei, Mehdi Bijari, Gholam Ali Raissi Ardali:
Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs). Comput. Ind. Eng. 63(1): 37-45 (2012) - [j9]Mehdi Khashei, Mehdi Bijari:
Hybridization of the probabilistic neural networks with feed-forward neural networks for forecasting. Eng. Appl. Artif. Intell. 25(6): 1277-1288 (2012) - [j8]Mehdi Khashei, Ali Zeinal Hamadani, Mehdi Bijari:
A novel hybrid classification model of artificial neural networks and multiple linear regression models. Expert Syst. Appl. 39(3): 2606-2620 (2012) - [j7]Mehdi Khashei, Mehdi Bijari:
A new class of hybrid models for time series forecasting. Expert Syst. Appl. 39(4): 4344-4357 (2012) - [j6]Mehdi Khashei, Ali Zeinal Hamadani, Mehdi Bijari:
A fuzzy intelligent approach to the classification problem in gene expression data analysis. Knowl. Based Syst. 27: 465-474 (2012) - [j5]Mehdi Khashei, Mehdi Bijari, Seyed Reza Hejazi:
Combining seasonal ARIMA models with computational intelligence techniques for time series forecasting. Soft Comput. 16(6): 1091-1105 (2012) - 2011
- [j4]Mehdi Khashei, Mehdi Bijari:
A novel hybridization of artificial neural networks and ARIMA models for time series forecasting. Appl. Soft Comput. 11(2): 2664-2675 (2011) - 2010
- [j3]Mehdi Khashei, Mehdi Bijari:
An artificial neural network (p, d, q) model for timeseries forecasting. Expert Syst. Appl. 37(1): 479-489 (2010) - 2009
- [j2]Mehdi Khashei, Mehdi Bijari, Gholam Ali Raissi Ardali:
Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs). Neurocomputing 72(4-6): 956-967 (2009) - 2008
- [j1]Mehdi Khashei, Seyed Reza Hejazi, Mehdi Bijari:
A new hybrid artificial neural networks and fuzzy regression model for time series forecasting. Fuzzy Sets Syst. 159(7): 769-786 (2008)
Coauthor Index
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