引用次数
引用: 1,367
H-指数: 16
I10-指数 : 21
出版物: 38
A Latent Source Model for Online Collaborative Filtering
Guy Bresler , Devavrat Shah , George H Chen
neural information processing systems 27 3347 -3355
67
2014
TOD: GPU-accelerated Outlier Detection via Tensor Operations
Yue Zhao , George H Chen , Zhihao Jia
arXiv preprint arXiv:2110.14007
3
2021
Bond: Benchmarking unsupervised outlier node detection on static attributed graphs
Kay Liu , Yingtong Dou , Yue Zhao , Xueying Ding
Advances in Neural Information Processing Systems 35 27021 -27035
6
2022
Consumer behavior in the online classroom: Using video analytics and machine learning to understand the consumption of video courseware
Mi Zhou , George H Chen , Pedro Ferreira , Michael D Smith
Journal of Marketing Research 58 ( 6) 1079 -1100
27
2021
Improving fairness in deepfake detection
Yan Ju , Shu Hu , Shan Jia , George H Chen
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 4655 -4665
11
2024
Conference on Health, Inference, and Learning (CHIL) 2022
Gerardo Flores , George H Chen , Tom Pollard , Ayah Zirikly
Conference on Health, Inference, and Learning 1 -4
2022
A collection of invited non-archival papers for the Conference on Health, Inference, and Learning (CHIL) 2022
Gerardo Flores , George H Chen , Tom Pollard , Joyce C Ho
arXiv e-prints arXiv: 2205.02752 -arXiv: 2205.02752
2022
Explaining the success of nearest neighbor methods in prediction
George H Chen , Devavrat Shah
Foundations and Trends® in Machine Learning 10 ( 5-6) 337 -588
176
2018
A Latent Source Model for Nonparametric Time Series Classification
George H Chen , Stanislav Nikolov , Devavrat Shah
arXiv preprint arXiv:1302.3639
94
2013
Influence via ethos: On the persuasive power of reputation in deliberation online
Emaad Manzoor , George H Chen , Dokyun Lee , Michael D Smith
Management Science 70 ( 3) 1613 -1634
13
2023
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics
Shu Hu , George H Chen
Machine Learning for Health 62 -87
10
2022
Survival-Supervised Topic Modeling with Anchor Words: Characterizing Pancreatitis Outcomes
George H Chen , Jeremy C Weiss
arXiv preprint arXiv:1712.00535
4
2017
Deformation-invariant sparse coding for modeling spatial variability of functional patterns in the brain
George H Chen , Evelina G Fedorenko , Nancy G Kanwisher , Polina Golland
Machine Learning and Interpretation in Neuroimaging: International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions 68 -75
4
2012
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee
George H Chen
Journal of Machine Learning Research 25 ( 40) 1 -78
1
2024
A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information
George H Chen
Conference on Health, Inference, and Learning 440 -476
1
2023
Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks
Xiaobin Shen , Jonathan Elmer , George H Chen
Machine Learning for Healthcare Conference 667 -690
2023
Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression
Shahriar Noroozizadeh , Jeremy C Weiss , George H Chen
Machine Learning for Health (ML4H) 403 -427
2023
Deformation-invariant sparse coding
George H Chen
Massachusetts Institute of Technology
2012
Fairness in Survival Analysis with Distributionally Robust Optimization
Shu Hu , George H Chen
Toward Reducing Crop Spoilage and Increasing Small Farmer Profits in India: a Simultaneous Hardware and Software Solution
George H. Chen , Kendall Nowocin , Niraj Marathe
arXiv: Computers and Society
2017