Large language models (LLMs) have recently shown great potential for
in-...
Graph Neural Networks (GNNs) are gaining extensive attention for their
a...
This paper presents a comprehensive and practical guide for practitioner...
The process of matching patients with suitable clinical trials is essent...
Electronic health records (EHRs) store an extensive array of patient
inf...
The huge supporting training data on the Internet has been a key factor ...
Detailed phenotype information is fundamental to accurate diagnosis and ...
Recent advancements in large language models (LLMs) have led to the
deve...
Liver transplant is an essential therapy performed for severe liver dise...
Explainable machine learning attracts increasing attention as it improve...
Existing bias mitigation methods for DNN models primarily work on learni...
In this paper, we introduce DSN (Deep Serial Number), a new watermarking...
Image captioning has made substantial progress with huge supporting imag...
With the widespread use of deep neural networks (DNNs) in high-stake
app...