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Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee



George H. Chen


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Benchmarking Node Outlier Detection on Graphs



Kay Liu , Yingtong Dou , Yue Zhao , Xueying Ding , Xiyang Hu , Ruitong Zhang , Kaize Ding , Canyu Chen , Hao Peng , Kai Shu , Lichao Sun , Jundong Li , George H. Chen , Zhihao Jia , Philip S. Yu

* Preprint. Under review. Benchmark available at https://github.com/pygod-team/pygod/tree/main/benchmark 

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PyGOD: A Python Library for Graph Outlier Detection



Kay Liu , Yingtong Dou , Yue Zhao , Xueying Ding , Xiyang Hu , Ruitong Zhang , Kaize Ding , Canyu Chen , Hao Peng , Kai Shu , George H. Chen , Zhihao Jia , Philip S. Yu


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ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions



Zheng Li , Yue Zhao , Xiyang Hu , Nicola Botta , Cezar Ionescu , George H. Chen

* Code is available in PyOD library at https://github.com/yzhao062/pyod 

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TOD: Tensor-based Outlier Detection



Yue Zhao , George H. Chen , Zhihao Jia

* Code available at https://github.com/yzhao062/pytod 

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Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals



George H. Chen

* Machine Learning for Healthcare conference (MLHC 2020) 

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Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate



Linhong Li , Ren Zuo , Amanda Coston , Jeremy C. Weiss , George H. Chen

* International Conference on Artificial Intelligence in Medicine (AIME 2020) 

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Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning



Helen Zhou , Cheng Cheng , Zachary C. Lipton , George H. Chen , Jeremy C. Weiss


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Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online



Emaad Manzoor , George H. Chen , Dokyun Lee , Michael D. Smith


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Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption



Wei Ma , George H. Chen

* Advances in Neural Information Processing Systems (NeurIPS 2019) 

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