Outlier detection refers to the identification of rare items that are deviant from the general data distribution. Existing approaches suffer from high computational complexity, low predictive capability, and limited interpretability. As a remedy, we present a novel outlier detection algorithm...

The emerging artificial intelligence (AI) and human-AI interactions have attracted great attentions to improving decision-making effectiveness. A common practice is that human make decisions (at least at beginning) to generate training data for machine learning (ML) algorithms, and ML algorithms...

COVID-19 has profoundly changed the way that we study and work. For students, especially primary and middle school students, online education has become a solution to learning problems. However, online and offline education have their own characteristics and different learning efficiencies in...

We use controlled lab experiments to test whether the market efficiency being affected by unfair negative ratings, and whether announcing the percentage of unfair ratings in the market makes any difference. We find that the market efficiency is higher than no rating information case even when...

Online peer-to-peer (P2P) lending is a two-sided market that enables direct interactions between borrowers and investors. The network effects that arise in P2P lending markets can make the decision-making process of both participant groups interdependent. However, extant research on P2P lending...