| SVM-based system for prediction of epileptic seizures from iEEG signal HT Shiao, V Cherkassky, J Lee, B Veber, EE Patterson, BH Brinkmann, ... IEEE Transactions on Biomedical Engineering 64 (5), 1011-1022, 2016 | 125 | 2016 |
| Through the azerothian looking glass: Mapping in-game preferences to real world demographics N Yee, N Ducheneaut, HT Shiao, L Nelson Proceedings of the SIGCHI conference on human factors in computing systems …, 2012 | 40 | 2012 |
| Learning using privileged information (LUPI) for modeling survival data HT Shiao, V Cherkassky 2014 International Joint Conference on Neural Networks (IJCNN), 1042-1049, 2014 | 25 | 2014 |
| SVM-based approaches for predictive modeling of survival data HT Shiao, V Cherkassky Proceedings of the International Conference on Data Science (ICDATA), 1, 2013 | 16 | 2013 |
| Online prediction of lead seizures from iEEG data HH Chen, HT Shiao, V Cherkassky Brain Sciences 11 (12), 1554, 2021 | 12 | 2021 |
| Implementation and comparison of SVM-based multi-task learning methods HT Shiao, V Cherkassky The 2012 International Joint Conference on Neural Networks (IJCNN), 1-7, 2012 | 11 | 2012 |
| Reliable seizure prediction from EEG data V Cherkassky, B Veber, J Lee, HT Shiao, N Patterson, GA Worrell, ... 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 10 | 2015 |
| Investor behavior modeling by analyzing financial advisor notes: a machine learning perspective C Pagliaro, D Mehta, HT Shiao, S Wang, L Xiong Proceedings of the Second ACM International Conference on AI in Finance, 1-8, 2021 | 9 | 2021 |
| Group learning for high-dimensional sparse data V Cherkassky, HH Chen, HT Shiao 2019 International Joint Conference on Neural Networks (IJCNN), 1-10, 2019 | 4 | 2019 |
| Using Machine Learning to Model Advised-Investor Behavior. HT Shiao, C Pagliaro, D Mehta Journal of Financial Data Science 4 (4), 2022 | 2 | 2022 |
| LUPI-based approaches for modeling survival data HT Shiao, T Vacek, V Cherkassky Proceedings of the International Workshop on Human is More Than a Labeler …, 2016 | 1 | 2016 |
| Online Prediction of Lead Seizures from iEEG Data. Brain Sci. 2021, 11, 1554 HH Chen, HT Shiao, V Cherkassky s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Advanced Learning Methodologies for Biomedical Applications HT Shiao University of Minnesota, 2017 | | 2017 |
| The Use of Machine Learning to Analyze the Features of Endometrial Malignant Mesodermal Mixed Tumors A Kaplan, HT Shiao, S Jackson, EL Dickson, AL Jonson, V Cherkassky, ... LABORATORY INVESTIGATION 94, 400A-400A, 2014 | | 2014 |
| Machine learning as a tool to predict survival outcomes for carcinosarcoma of the female genital tract E Dickson, A Jonson, V Cherkassky, H Shiao, L Downs Gynecologic Oncology 125, S150, 2012 | | 2012 |
| Machine learning as a tool to predict survival outcomes for carcinosarcoma of the female genital tract A Jonson, E Dickson, H Shiao, V Cherkassky, S Dhar, L Downs Gynecologic Oncology 123 (2), 434, 2011 | | 2011 |
