InterActive Machine Learning
PI: 鮑興國教授, CoPI: 李育杰教授, 陳玲鈴教授
計畫簡介：
- Active learning in Interactive Machine Learning
- Active Learning Dual Supervision
- Active Learning with Massive High Dimensional Data
- Machine Tutoring in Interactive Machine Learning
- Taiko drum playing as skill learning
- Robot assembly as knowledge learning
Members
Publications
Adrian Chriswanto, Hsing-Kuo Pao, and Yuh-Jye Lee, "A Unified Approach on Active Learning Dual Supervision", in 2019 International Joint Conference on Neural Networks (IJCNN), pp. 1-8.
Hsing-Kuo Pao, Fong-Ruei Lee, and Yuh-Jye Lee, "Dealing with interleaved event inputs for intrusion detection", Journal of Information Science and Engineering, vol. 35, 01 2019, pp. 223-242.
Vahid Golderzahi and Hsing-Kuo Pao, "Understanding Customers and Their Grouping via WiFi Sensing for Business Revenue Forecasting", in Machine Learning and Data Mining in Pattern Recognition, P. Perner, Ed., 2018publisher=Springer International Publishing, pp. 56–71.
Chih-Hung Lin, Hsing-Kuo Pao, and Jian-Wei Liao, "Efficient dynamic malware analysis using virtual time control mechanics", Computers & Security, vol. 73, 2018, pp. 359-373.
Er-Chen Huang, Hsing-Kuo Pao, and Yuh-Jye Lee, "Big active learning", in 2017 IEEE International Conference on Big Data (Big Data), pp. 94-101.
Taoyi Lee, Yuh-Jye Lee, Hsing-Kuo Pao, You-Hua Lin, and Yi-Ren Yeh, "Elastic Motif Segmentation and Alignment of Time Series for Encoding and Classification", 2017.
Yuh-Jye Lee, Hsing-Kuo Pao, Shueh-Han Shih, Jing-Yao Lin, and Xin-Rong Chen, "Compressed learning for time series classification", in 2016 IEEE International Conference on Big Data (Big Data), pp. 923-930.
Alexander Chia-Bin Chen and Hsing-Kuo Kenneth Pao, "Traffic Speed Forecasting Considering Multiple Periodicities and Complex Patterns", 2016.
國立臺灣科技大學
