Motor Fault Detection and Feature Extraction Using RNN-Based Variational Autoencoder. - Yang Huang 003; Chiun-Hsun Chen; Chi-Jui Huang (IEEE Access, 2019)

Air pollution forecasting based on attention-based LSTM neural network and ensemble learning. - Duen-Ren Liu; Shin-Jye Lee; Yang Huang 003; Chien-Ju Chiu (Expert Syst. J. Knowl. Eng., 2020)

Random RotBoost: An Ensemble Classification Method Based on Rotation Forest and AdaBoost in Random Subsets and Its Application to Clinical Decision Support. - Shin-Jye Lee; Ching-Hsun Tseng; Hui-Yu Yang; Xin Jin 005; Qian Jiang; Bin Pu; Wei-Huan Hu; Duen-Ren Liu; Yang Huang 003; Na Zhao 006 (Entropy, 2022)

A boosting resampling method for regression based on a conditional variational autoencoder. - Yang Huang 003; Duen-Ren Liu; Shin-Jye Lee; Chia-Hao Hsu; Yang-Guang Liu (Inf. Sci., 2022)

Talent recommendation based on attentive deep neural network and implicit relationships of resumes. - Yang Huang 003; Duen-Ren Liu; Shin-Jye Lee (Inf. Process. Manag., 2023)

Hybrid Generative Adversarial Networks for News Recommendation. - Duen-Ren Liu; Yang Huang 003; Ching-Yi Tseng; Shin-Jye Lee (J. Inf. Sci. Eng., 2023)

News recommendations based on collaborative topic modeling and collaborative filtering with generative adversarial networks. - Duen-Ren Liu; Yang Huang 003; Jhen-Jie Jhao; Shin-Jye Lee (Data Technol. Appl., 2024)