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Yan Li
Yan Li
Senior Algorithm Engineer
Bestätigte E-Mail-Adresse bei umich.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Machine learning for survival analysis: A survey
P Wang, Y Li, CK Reddy
ACM Computing Surveys (CSUR) 51 (6), 1-36, 2019
7702019
A multi-task learning formulation for survival analysis
Y Li, J Wang, J Ye, CK Reddy
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
1852016
Project success prediction in crowdfunding environments
Y Li, V Rakesh, CK Reddy
Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016
1422016
Fast RobustSTL: Efficient and robust seasonal-trend decomposition for time series with complex patterns
Q Wen, Z Zhang, Y Li, L Sun
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
1082020
A distributed ensemble approach for mining healthcare data under privacy constraints
Y Li, C Bai, CK Reddy
Information sciences 330, 245-259, 2016
1052016
Transfer learning for survival analysis via efficient l2, 1-norm regularized cox regression
Y Li, L Wang, J Wang, J Ye, CK Reddy
2016 IEEE 16th International Conference on Data Mining (ICDM), 231-240, 2016
702016
Active learning based survival regression for censored data
B Vinzamuri, Y Li, CK Reddy
Proceedings of the 23rd ACM international conference on conference on …, 2014
642014
Learning adversarial networks for semi-supervised text classification via policy gradient
Y Li, J Ye
Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018
522018
Multi-task survival analysis
L Wang, Y Li, J Zhou, D Zhu, J Ye
2017 IEEE international conference on data mining (ICDM), 485-494, 2017
512017
A Review of Clinical Prediction Models.
CK Reddy, Y Li, C Aggarwal
Healthcare data analytics 36, 343-378, 2015
512015
Regularized parametric regression for high-dimensional survival analysis
Y Li, KS Xu, CK Reddy
Proceedings of the 2016 SIAM International Conference on Data Mining, 765-773, 2016
392016
Joint impact of clinical and behavioral variables on the risk of unplanned readmission and death after a heart failure hospitalization
B Padhukasahasram, CK Reddy, Y Li, DE Lanfear
PloS one 10 (6), e0129553, 2015
372015
Multi-task learning based survival analysis for predicting alzheimer's disease progression with multi-source block-wise missing data
Y Li, T Yang, J Zhou, J Ye
proceedings of the 2018 SIAM international conference on data mining, 288-296, 2018
232018
Regularized weighted linear regression for high-dimensional censored data
Y Li, B Vinzamuri, CK Reddy
Proceedings of the 2016 SIAM International Conference on Data Mining, 45-53, 2016
212016
Constrained elastic net based knowledge transfer for healthcare information exchange
Y Li, B Vinzamuri, CK Reddy
Data Mining and Knowledge Discovery 29, 1094-1112, 2015
212015
Multi-task learning based survival analysis for multi-source block-wise missing data
Y Li, L Wang, J Zhou, J Ye
Neurocomputing 364, 95-107, 2019
182019
A Hybrid Causal Structure Learning Algorithm for Mixed-type Data
Y Li, R Xia, C Liu, L Sun
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), https …, 2022
112022
Pre-processing censored survival data using inverse covariance matrix based calibration
B Vinzamuri, Y Li, CK Reddy
IEEE Transactions on Knowledge and Data Engineering 29 (10), 2111-2124, 2017
112017
Robust time series dissimilarity measure for outlier detection and periodicity detection
X Song, Q Wen, Y Li, L Sun
Proceedings of the 31st ACM International Conference on Information …, 2022
92022
Combining ranking and point-wise losses for training deep survival analysis models
L Wang, Y Li, M Chignell
2021 IEEE international conference on data mining (ICDM), 689-698, 2021
62021
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