This paper introduces the Fair Fairness Benchmark (), a
benchmarking fra...
Organ transplant is the essential treatment method for some end-stage
di...
Clinical trials are indispensable in developing new treatments, but they...
Detailed phenotype information is fundamental to accurate diagnosis and ...
Various attribution methods have been developed to explain deep neural
n...
Liver transplant is an essential therapy performed for severe liver dise...
Graph Neural Networks (GNNs) have shown satisfying performance on variou...
Large language models (LLMs) have achieved state-of-the-art performance ...
Existing work on fairness modeling commonly assumes that sensitive attri...
Benefiting from the digitization of healthcare data and the development ...
Explainable machine learning attracts increasing attention as it improve...
Machine learning models are becoming pervasive in high-stakes applicatio...
Attribution methods provide an insight into the decision-making process ...
Back propagation based visualizations have been proposed to interpret de...
Attribution methods have been developed to understand the decision makin...
Outlier detection is an important task for various data mining applicati...
Graph neural networks (GNN) has been demonstrated to be effective in
cla...
PyODDS is an end-to end Python system for outlier detection with databas...
Deep learning is increasingly being used in high-stake decision making
a...
Anomaly detection aims to distinguish observations that are rare and
dif...
An important step in early brain development study is to perform automat...