Rough-set rule induction to build fuzzy time series model in forecasting stock price. - Ching-Hsue Cheng 001; Jun-He Yang (FSKD, 2015)

A novel rainfall forecast model based on integrated non-linear attributes selection method and support vector regression. - Jun-He Yang; Ching-Hsue Cheng 001 (FSKD, 2015)

A novel rainfall forecast model based on the integrated non-linear attribute selection method and support vector regression. - Ching-Hsue Cheng 001; Jun-He Yang (J. Intell. Fuzzy Syst., 2016)

A Time-Series Water Level Forecasting Model Based on Imputation and Variable Selection Method. - Jun-He Yang; Ching-Hsue Cheng 001; Chia-Pang Chan (Comput. Intell. Neurosci., 2017)

A Seasonal Time-Series Model Based on Gene Expression Programming for Predicting Financial Distress. - Ching-Hsue Cheng 001; Chia-Pang Chan; Jun-He Yang (Comput. Intell. Neurosci., 2018)

Fuzzy time-series model based on rough set rule induction for forecasting stock price. - Ching-Hsue Cheng 001; Jun-He Yang (Neurocomputing, 2018)

Entropy-based Time-series Financial Distress Model Based on Attribute Selection and MetaCost Methods for Imbalance Class. - Chia-Pang Chan; Jun-He Yang; Wei-Hsiung Chang (AI2A, 2023)

Verifying Technical Indicator Effectiveness in Cryptocurrency Price Forecasting: a Deep-Learning Time Series Model Based on Sparrow Search Algorithm. - Ching-Hsue Cheng 001; Jun-He Yang; Jia-Pei Dai (Cogn. Comput., 2025)