Introduction: Perioperative morbidity is a public health priority, and surgical volume is
increasing rapidly. With advances in technology, there is an opportunity to research the …

Logistic regression (LR) is widely used in clinical prediction because it is simple to deploy
and easy to interpret. Nevertheless, being a linear model, LR has limited expressive …

Millions of Android applications (apps) are widely used today. Meanwhile, the number of
malicious apps has increased exponentially. Currently, there are many security detection …

This thesis focuses on develo** machine learning methods for autonomous classification
and decision making, especially on two case studies: traffic speed prediction and cancer …

Abstract Machine learning models have achieved impressive predictive performance in
various applications such as image classification and object recognition. However …