| Exploration of machine learning techniques in predicting multiple sclerosis disease course Y Zhao, BC Healy, D Rotstein, CRG Guttmann, R Bakshi, HL Weiner, ... PloS one 12 (4), e0174866, 2017 | 184 | 2017 |
| Data mining techniques." Y Zhao | 47 | 2015 |
| Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study Y Zhao, T Wang, R Bove, B Cree, R Henry, H Lokhande, ... NPJ digital medicine 3 (1), 135, 2020 | 38 | 2020 |
| On computing maximum k-independent sets MC Kong, Y Zhao Congressus numerantium, 47-47, 1993 | 30 | 1993 |
| A calibrated deep learning ensemble for abnormality detection in musculoskeletal radiographs M He, X Wang, Y Zhao Scientific Reports 11 (1), 9097, 2021 | 24 | 2021 |
| Hierarchical conditional random fields for outlier detection: An application to detecting epileptogenic cortical malformations B Ahmed, T Thesen, K Blackmon, Y Zhao, O Devinsky, R Kuzniecky, ... International Conference on Machine Learning, 1080-1088, 2014 | 21 | 2014 |
| Machine learning for functional group identification in vibrational spectroscopy: a pedagogical lab for undergraduate chemistry students ES Thrall, SE Lee, J Schrier, Y Zhao Journal of Chemical Education 98 (10), 3269-3276, 2021 | 20 | 2021 |
| Startup Investment Decision Support: Application of Venture Capital Scorecards Using Machine Learning Approaches S Bai, Y Zhao Systems 9 (3, 55), 2021 | 19 | 2021 |
| Computing k-Independent Sets for Regular Bipartite MC Kong, Y Zhao Congressus Numerantium 142, 65, 2000 | 17 | 2000 |
| Different coping patterns among us graduate and undergraduate students during COVID-19 pandemic: A machine learning approach Y Zhao, Y Ding, Y Shen, S Failing, J Hwang International Journal of Environmental Research and Public Health 19 (4), 2430, 2022 | 16 | 2022 |
| Predicting Student Performance in a Master of Data Science Program Using Admissions Data. Y Zhao, Q Xu, M Chen, GM Weiss International Educational Data Mining Society, 2020 | 15 | 2020 |
| Exploration of machine learning methods to predict systemic lupus erythematosus hospitalizations AM Jorge, D Smith, Z Wu, T Chowdhury, K Costenbader, Y Zhang, ... Lupus 31 (11), 1296-1305, 2022 | 13 | 2022 |
| Localized motion artifact reduction on brain MRI using deep learning with effective data augmentation techniques Y Zhao, J Ossowski, X Wang, S Li, O Devinsky, SP Martin, HR Pardoe 2021 International Joint Conference on Neural Networks (IJCNN), 2021 | 10 | 2021 |
| Estimation of in-scanner head pose changes during structural MRI using a convolutional neural network trained on eye tracker video HR Pardoe, SP Martin, Y Zhao, A George, H Yuan, J Zhou, W Liu, ... Magnetic Resonance Imaging 81, 101-108, 2021 | 9 | 2021 |
| A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions. Y Zhao, B Lackaye, JG Dy, CE Brodley International Educational Data Mining Society, 2020 | 9 | 2020 |
| A non-parametric approach to detect epileptogenic lesions using restricted boltzmann machines Y Zhao, B Ahmed, T Thesen, KE Blackmon, JG Dy, CE Brodley, ... Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 9 | 2016 |
| Student adaptation to college and coping in relation to adjustment during COVID-19: A machine learning approach Y Zhao, Y Ding, H Chekired, Y Wu Plos one 17 (12), e0279711, 2022 | 8 | 2022 |
| Gender difference in psychological, cognitive, and behavioral patterns among university students during COVID-19: A machine learning approach Y Zhao, Y Ding, Y Shen, W Liu Frontiers in Psychology 13, 772870, 2022 | 7 | 2022 |
| Domain induced Dirichlet mixture of gaussian processes: An application to predicting disease progression in multiple sclerosis patients Y Zhao, T Chitnis, BC Healy, JG Dy, CE Brodley 2015 IEEE International Conference on Data Mining, 1129-1134, 2015 | 7 | 2015 |
| Comparing two machine learning approaches in predicting lupus hospitalization using longitudinal data Y Zhao, D Smith, A Jorge Scientific Reports 12 (1), 16424, 2022 | 6 | 2022 |
Tanuja ChitnisProfessor of Neurology, Harvard Medical School在 rics.bwh.harvard.edu 的电子邮件经过验证
