As technology progresses, industrial and scientific robots are increasin...
Optical satellite-to-ground communication (OSGC) has the potential to im...
Deep learning models are being increasingly applied to imbalanced data i...
Convolutional neural networks (CNNs) have achieved impressive results on...
Deep learning models memorize training data, which hurts their ability t...
In this paper we address imbalanced binary classification (IBC) tasks.
A...
Structural concept complexity, class overlap, and data scarcity are some...
Real-world classification domains, such as medicine, health and safety, ...
Class imbalance is a problem of significant importance in applied deep
l...
Standard reinforcement learning (RL) algorithms assume that the observat...
Reinforcement learning (RL) has been demonstrated to have great potentia...