The common assumption that train and test sets follow similar distributi...
Domain adaptation is one of the prominent strategies for handling both d...
Domain generalisation aims to promote the learning of domain-invariant
f...
The motivation of this paper is to conduct a comparative study on remote...
Morphological attribute profiles (APs) are among the most effective meth...
The amount of training data that is required to train a classifier scale...