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Journal Articles
- 2017
[j1]Han-Tai Shiao
, Vladimir Cherkassky, Jieun Lee, Brandon Veber, Edward E. Patterson, Benjamin H. Brinkmann, Gregory A. Worrell:
SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal. IEEE Trans. Biomed. Eng. 64(5): 1011-1022 (2017)
Conference and Workshop Papers
- 2021
- [c6]Cynthia Pagliaro, Dhagash Mehta, Han-Tai Shiao, Shaofei Wang, Luwei Xiong:
Investor behavior modeling by analyzing financial advisor notes: a machine learning perspective. ICAIF 2021: 23:1-23:8 - 2019
- [c5]Vladimir Cherkassky, Hsiang-Han Chen, Han-Tai Shiao:
Group Learning for High-Dimensional Sparse Data. IJCNN 2019: 1-10 - 2015
- [c4]Vladimir Cherkassky, Brandon Veber, Jieun Lee, Han-Tai Shiao, Ned Patterson, Gregory A. Worrell, Benjamin H. Brinkmann:
Reliable seizure prediction from EEG data. IJCNN 2015: 1-8 - 2014
- [c3]Han-Tai Shiao, Vladimir Cherkassky:
Learning using privileged information (LUPI) for modeling survival data. IJCNN 2014: 1042-1049 - 2012
- [c2]Nick Yee, Nicolas Ducheneaut, Han-Tai Shiao, Les Nelson:
Through the azerothian looking glass: mapping in-game preferences to real world demographics. CHI 2012: 2811-2814 - [c1]Han-Tai Shiao, Vladimir Cherkassky:
Implementation and comparison of SVM-based Multi-Task Learning methods. IJCNN 2012: 1-7
Coauthor Index
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