Time series anomaly detection is crucial for industrial monitoring servi...
Temporal relational data, perhaps the most commonly used data type in
in...
Neural relation extraction models have shown promising results in recent...
A common challenge for most current recommender systems is the cold-star...
A significant remaining challenge for existing recommender systems is th...
Objective: Epilepsy is a chronic neurological disorder characterized by ...
Deep learning algorithms have achieved excellent performance lately in a...
Synthesizing geometrical shapes from human brain activities is an intere...
Knowledge acquisition and exchange are generally crucial yet costly for ...
Community question answering (CQA) represents the type of Web applicatio...
Random forest and deep neural network are two schools of effective
class...
Online reviews play an important role in influencing buyers' daily purch...
Modelling user-item interaction patterns is an important task for
person...