An Unsupervised Deep-Learning Method for Fingerprint Classification: the CCAE Network and the Hybrid Clustering Strategy. - Yue-Jie Hou; Zai-Xin Xie; Jian-Hu; Yao-Shen; Chi-Chun Zhou 001 (CoRR, 2021)

Why Existing Machine Learning Methods Fails At Extracting the Information of Future Returns Out of Historical Sctock Prices : the Curve-Shape-Feature and Non-Curve-Shape-Feature Modes. - Jia-Yao Yang; Hao Zhu; Yue-Jie Hou; Ping Zhang; Chi-Chun Zhou 001 (CoRR, 2021)

Failure in Stock Price Prediction: A Comparison bettwen the Curve-Shape-Feature and Non-Curve-Shape-Feature Modes of Existing Machine Learning Algorithms. - Ping Zhang; Jia-Yao Yang; Hao Zhu; Yue-Jie Hou; Yi Liu; Chichun Zhou 001 (Int. J. Comput. Commun. Control, 2021)

Early Abnormal Detection of Sewage Pipe Network: Bagging of Various Abnormal Detection Algorithms. - Zhen-Yu Zhang; Guo-Xiang Shao; Chun-Ming Qiu; Yue-Jie Hou; En-Ming Zhao; Chi-Chun Zhou 001 (CoRR, 2022)

An Unsupervised Deep-Learning Method for Bone Age Assessment. - Hao Zhu; Wan-Jing Nie; Yue-Jie Hou; Qi-Meng Du; Si-Jing Li; Chi-Chun Zhou 001 (CoRR, 2022)

A Data Augmentation Method and the Embedding Mechanism for Detection and Classification of Pulmonary Nodules on Small Samples. - Yang Liu 268; Yue-Jie Hou; Chen-Xin Qin; Xin-Hui Li; Si-Jing Li; Bin Wang 031; Chi-Chun Zhou 001 (CoRR, 2023)

Unsupervised Real Time and Early Anomalies Detection Method for Sewer Networks Systems. - Chun-Ming Qiu; Guo-Xiang Shao; Zhen-Yu Zhang; Chichun Zhou 001; Yue-Jie Hou; En-Ming Zhao; Xiao Guo; Xiaolin Guan (IEEE Access, 2024)