Given a long list of anomaly detection algorithms developed in the last few decades, how do
they perform with regard to (i) varying levels of supervision,(ii) different types of anomalies …

Outlier detection refers to the identification of data points that deviate from a general data
distribution. Existing unsupervised approaches often suffer from high computational cost …

With the explosive growth of data and the rapid rise of artificial intelligence and automated
working processes, humans inevitably fall into increasingly close collaboration with …

We develop a novel machine learning method to address investor irrationality in copy
trading. Copy trading enables layman investors (followers) to assess and copy expert …

In the past decade, monumental breakthroughs in Artificial Intelligence (AI), particularly in
Machine Learning (ML), have shaped various fields. The widespread integration of complex …

Artificial intelligence (AI) algorithm capabilities are increasingly augmented by integrating
expertise from domain specialists and top performers to better align with human objectives …

The prevalence of Internet-of-Things (IoT) technologies and the ubiquity of networked
sensors and actuators in many Programmable Logic Controller (PLC) based Industrial …

Artificial Intelligence (AI) technologies are transforming many industries and our society.
While both academia and industry consider AI closely intertwined with innovation, we have …