449 citations · 1.7k across the 108 of their papers we have counts for
4 papers · 1 filter
TOD: GPU-accelerated Outlier Detection via Tensor Operations
Yue Zhao, George H. Chen, Zhihao Jia
Outlier detection (OD) is a key learning task for finding rare and deviant data samples, with many time-critical applications such as fraud detection and intrusion detection. In th…
A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?
Martin Q. Ma, Yue Zhao, Xiaorong Zhang +1
Given an unsupervised outlier detection task, how should one select a detection algorithm as well as its hyperparameters (jointly called a model)? Unsupervised model selection is n…
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
Kexin Huang, Tianfan Fu, Wenhao Gao +7
Therapeutics machine learning is an emerging field with incredible opportunities for innovatiaon and impact. However, advancement in this field requires formulation of meaningful l…
PyHealth: A Python Library for Health Predictive Models
Yue Zhao, Zhi Qiao, Cao Xiao +2
Despite the explosion of interest in healthcare AI research, the reproducibility and benchmarking of those research works are often limited due to the lack of standard benchmark da…