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

Applied soft computing, 2011-03, Vol.11 (2), p.2664-2675

2011

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

Expert systems with applications, 2010, Vol.37 (1), p.479-489

2010

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

Computers & industrial engineering, 2021-05, Vol.155, p.107182, Article 107182

2021

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A fuzzy series‐parallel preprocessing (FSPP) based hybrid model for wind forecasting

IET generation, transmission & distribution, 2022-02, Vol.16 (3), p.430-452

2022

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

International journal of computational intelligence systems, 2023-04, Vol.16 (1), p.1-14, Article 66

2023

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Etemadi regression in chemometrics: Reliability-based procedures for modeling and forecasting

Heliyon, 2024-03, Vol.10 (5), p.e26399-e26399, Article e26399

2024

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

BMC medical informatics and decision making, 2022-05, Vol.22 (1), p.123-123, Article 123

2022

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

Wireless personal communications, 2024, Vol.134 (2), p.1075-1092

2024

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Performance evaluation of series and parallel strategies for financial time series forecasting

Financial innovation (Heidelberg), 2017-12, Vol.3 (24), p.1-24, Article 24

2017

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Hybrid structures in time series modeling and forecasting: A review

Engineering applications of artificial intelligence, 2019-11, Vol.86, p.83-106

2019

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

Fuzzy sets and systems, 2008-04, Vol.159 (7), p.769-786

2008

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A novel discrete deep learning-based intelligent methodology for energy consumption classification

Energy reports, 2023-12, Vol.9, p.4861-4871

2023

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Principal component-based hybrid model for time series forecasting

International journal of information technology (Singapore. Online), 2023-08, Vol.15 (6), p.3045-3053

2023

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Hybridization of hybrid structures for time series forecasting: a review

The Artificial intelligence review, 2023-02, Vol.56 (2), p.1201-1261

2023

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A reliable jumping-based classification methodology for environment sector

Heliyon, 2024-06, Vol.10 (12), p.e32541, Article e32541

2024

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Current status of hybrid structures in wind forecasting

Engineering applications of artificial intelligence, 2021-03, Vol.99, p.104133, Article 104133

2021

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

IEEE transactions on knowledge and data engineering, 2023-11, Vol.35 (11), p.1-12

2023

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A seasonal direct optimal hybrid model of computational intelligence and soft computing techniques for electricity load forecasting

Energy (Oxford), 2017-12, Vol.140, p.988-1004

2017

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Etemadi multiple linear regression

Measurement : journal of the International Measurement Confederation, 2021-12, Vol.186, p.110080, Article 110080

2021

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A New Quantitative Predictability-Based Method of Risk Measurement to Make Profitable Investment Decisions in Financial Markets

Industrial Engineering & Management Systems, 2020-09, Vol.19 (3), p.680-693

2020

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

Engineering applications of artificial intelligence, 2024-02, Vol.128, p.107415, Article 107415

2024

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

Artificial intelligence in medicine, 2023-05, Vol.139, p.102492-102492, Article 102492

2023

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

Communications in statistics. Simulation and computation, 2019-10, Vol.48 (9), p.2625-2640

2019

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Series Hybridization of Parallel (SHOP) models for time series forecasting

Physica A, 2022-06, Vol.596, p.127173, Article 127173

2022

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Accuracy versus reliability-based modelling approaches for medical decision making

Computers in biology and medicine, 2022-02, Vol.141, p.105138-105138, Article 105138

2022

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

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

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

A fuzzy series‐parallel preprocessing (FSPP) based hybrid model for wind forecasting

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

Etemadi regression in chemometrics: Reliability-based procedures for modeling and forecasting

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

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

Performance evaluation of series and parallel strategies for financial time series forecasting

Hybrid structures in time series modeling and forecasting: A review

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

A novel discrete deep learning-based intelligent methodology for energy consumption classification

Principal component-based hybrid model for time series forecasting

Hybridization of hybrid structures for time series forecasting: a review

A reliable jumping-based classification methodology for environment sector

Current status of hybrid structures in wind forecasting

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

A seasonal direct optimal hybrid model of computational intelligence and soft computing techniques for electricity load forecasting

Etemadi multiple linear regression

A New Quantitative Predictability-Based Method of Risk Measurement to Make Profitable Investment Decisions in Financial Markets

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

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

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

Series Hybridization of Parallel (SHOP) models for time series forecasting

Accuracy versus reliability-based modelling approaches for medical decision making

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