Jun-He Yang - researchr alias

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Viewing Publication 1 - 8 from 8

2025

Verifying Technical Indicator Effectiveness in Cryptocurrency Price Forecasting: a Deep-Learning Time Series Model Based on Sparrow Search AlgorithmChing-Hsue Cheng, Jun-He Yang, Jia-Pei Dai. cogcom, 17(1):62, February 2025. [doi]

2023

Entropy-based Time-series Financial Distress Model Based on Attribute Selection and MetaCost Methods for Imbalance ClassChia-Pang Chan, Jun-He Yang, Wei-Hsiung Chang. ai2a 2023: 140-151 [doi]

2018

Fuzzy time-series model based on rough set rule induction for forecasting stock priceChing-Hsue Cheng, Jun-He Yang. ijon, 302:33-45, 2018. [doi]

A Seasonal Time-Series Model Based on Gene Expression Programming for Predicting Financial DistressChing-Hsue Cheng, Chia-Pang Chan, Jun-He Yang. cin, 2018, 2018. [doi]

2017

A Time-Series Water Level Forecasting Model Based on Imputation and Variable Selection MethodJun-He Yang, Ching-Hsue Cheng, Chia-Pang Chan. cin, 2017, 2017. [doi]

2016

A novel rainfall forecast model based on the integrated non-linear attribute selection method and support vector regressionChing-Hsue Cheng, Jun-He Yang. jifs, 31(2):915-925, 2016. [doi]

2015

Rough-set rule induction to build fuzzy time series model in forecasting stock priceChing-Hsue Cheng, Jun-He Yang. fskd 2015: 278-284 [doi]

A novel rainfall forecast model based on integrated non-linear attributes selection method and support vector regressionJun-He Yang, Ching-Hsue Cheng. fskd 2015: 989-994 [doi]

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