Cardiovascular diseases are a leading health concern in Hong Kong, prompting many to undergo regular heart check-ups for ...

Our results show that representations learned using self-supervised representation learning techniques are a viable option for document image classification, specifically in the context of limited ...

Semi-supervised learning is a promising research area aiming to develop pattern recognition tools capable to exploit simultaneously the benefits from supervised and unsupervised learning techniques.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

We take a deep dive into the inner workings of the wildly popular AI chatbot, ChatGPT. If you want to know how its generative ...