Follow
Yijun Zhao
Title
Cited by
Cited by
Year
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
1822017
Data mining techniques."
Y Zhao
462015
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
352020
On computing maximum k-independent sets
MC Kong, Y Zhao
Congressus numerantium, 47-47, 1993
311993
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
212014
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
192021
A calibrated deep learning ensemble for abnormality detection in musculoskeletal radiographs
M He, X Wang, Y Zhao
Scientific Reports 11 (1), 9097, 2021
192021
Startup Investment Decision Support: Application of Venture Capital Scorecards Using Machine Learning Approaches
S Bai, Y Zhao
Systems 9 (3, 55), 2021
172021
Computing k-Independent Sets for Regular Bipartite
MC Kong, Y Zhao
Congressus Numerantium 142, 65, 2000
172000
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
132022
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
132022
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
132020
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
102021
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
92021
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
92016
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
82022
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
82020
Comparing two machine learning approaches in predicting lupus hospitalization using longitudinal data
Y Zhao, D Smith, A Jorge
Scientific Reports 12 (1), 16424, 2022
72022
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
72015
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
52022
The system can't perform the operation now. Try again later.
Articles 1–20