引用次数
引用: 1,169
H-指数: 14
I10-指数 : 17
出版物: 40
A Robust-Equitable Copula Dependence Measure for Feature Selection
A. Adam Ding , Yale Chang , Jennifer G. Dy , Yi Li
international conference on artificial intelligence and statistics 84 -92
16
2016
Informative Subspace Learning for Counterfactual Inference.
Yale Chang , Jennifer G. Dy
national conference on artificial intelligence 1770 -1776
8
2017
Clustering with Domain-Specific Usefulness Scores.
Peter J. Castaldi , Edwin K. Silverman , Michael H. Cho , Yale Chang
siam international conference on data mining 207 -215
3
2017
Clustering from Multiple Uncertain Experts
Peter J. Castaldi , Edwin K. Silverman , Michael H. Cho , Yale Chang
international conference on artificial intelligence and statistics 28 -36
2
2017
Multiple Clustering Views from Multiple Uncertain Experts
Peter J. Castaldi , Edwin K. Silverman , Michael H. Cho , Yale Chang
international conference on machine learning 674 -683
5
2017
A Robust-Equitable Measure for Feature Ranking and Selection
A. Adam Ding , Yale Chang , Jennifer G. Dy , Yi Li
Journal of Machine Learning Research 18 ( 71) 1 -46
43
2017
Crowdclustering with Partition Labels
Peter J. Castaldi , Michael H. Cho , Brian Hobbs , Yale Chang
international conference on artificial intelligence and statistics 1127 -1136
2
2018
Solving Interpretable Kernel Dimensionality Reduction
Mario Sznaier , Yale Chang , Jennifer G. Dy , Chieh Wu
neural information processing systems 32 7913 -7923
5
2019
A Multi-Task Imputation and Classification Neural Architecture for Early Prediction of Sepsis from Multivariate Clinical Time Series
Saman Parvaneh , Asif Rahman , Annamalai Natarajan , Yale Chang
computing in cardiology conference 1 -4
2
2019
Phenotyping with Prior Knowledge using Patient Similarity.
Minnan Xu-Wilson , Asif Rahman , Yale Chang , Bryan Conroy
MLHC 331 -351
3
2020
Emotion fingerprints or emotion populations? A meta-analytic investigation of autonomic features of emotion categories.
Erika H Siegel , Molly K Sands , Wim Van den Noortgate , Paul Condon
Psychological Bulletin 144 ( 4) 343 -393
311
2018
Interpretable Clustering via Discriminative Rectangle Mixture Model
Junxiang Chen , Yale Chang , Brian Hobbs , Peter Castaldi
2016 IEEE 16th International Conference on Data Mining (ICDM) 823 -828
29
2016
Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease Progression
Adel Boueiz , Yale Chang , Michael H. Cho , George R. Washko
Chest 153 ( 1) 65 -76
17
2018
Shapelet Discovery for Atrial Fibrillation Detection
Saman Parvaneh , Yale Chang
computing in cardiology conference 1 -4
2020
A Bayesian nonparametric model for disease subtyping: application to emphysema phenotypes
James C Ross , Peter J Castaldi , Michael H Cho , Junxiang Chen
IEEE transactions on medical imaging 36 ( 1) 343 -354
26
2016
Solving interpretable kernel dimension reduction
Chieh Wu , Jared Miller , Yale Chang , Mario Sznaier
arXiv preprint arXiv:1909.03093
11
2019
Machine learning prediction of progression in forced expiratory volume in 1 second in the COPDGene® study
Adel Boueiz , Zhonghui Xu , Yale Chang , Aria Masoomi
Chronic Obstructive Pulmonary Diseases: Journal of the COPD Foundation 9 ( 3) 349 -349
3
2022
Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion
Chieh Wu , Jared Miller , Yale Chang , Mario Sznaier
arXiv preprint arXiv:1909.05097
1
2019
Machine Learning Prediction of Progression in FEV1 in the COPDGene Study
Adel Boueiz , Zhonghui Xu , Yale Chang , Aria Masoomi
medRxiv 2022.01. 10.22268804 -2022.01. 10.22268804
2022
Original Research Machine Learning Prediction of Progression in Forced Expiratory Volume in 1 Second in the COPDGene® Study
Adel Boueiz , Zhonghui Xu , Yale Chang , Aria Masoomi
2022