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
A. Chriswanto, H. Pao and Y. Lee, "A Unified Approach on Active Learning Dual Supervision", in 2019 International Joint Conference on Neural Networks (IJCNN), pp. 1-8.
H. Pao, F. Lee and Y. Lee, "Dealing with interleaved event inputs for intrusion detection", Journal of Information Science and Engineering, vol. 35, 01 2019, pp. 223-242.
V. Golderzahi, H. 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.
C. Lin, H. Pao and J. Liao, "Efficient dynamic malware analysis using virtual time control mechanics", Computers & Security, vol. 73, 2018, pp. 359-373.
E. Huang, H. Pao and Y. Lee, "Big active learning", in 2017 IEEE International Conference on Big Data (Big Data), pp. 94-101.
T. Lee et al., "Elastic Motif Segmentation and Alignment of Time Series for Encoding and Classification", 2017, pp. .
Y. Lee et al., "Compressed learning for time series classification", in 2016 IEEE International Conference on Big Data (Big Data), pp. 923-930.
A. Chen, H. Pao, "Traffic Speed Forecasting Considering Multiple Periodicities and Complex Patterns", 2016.
國立臺灣科技大學
