Source-free domain adaptation (SFDA) aims to adapt a pretrained model fr...
The scarcity of labeled data is one of the main challenges of applying d...
Unsupervised Domain Adaptation (UDA) has emerged as a powerful solution ...
Prescriptive Performance Analysis (PPA) has shown to be more useful than...
Learning time-series representations when only unlabeled data or few lab...
Domain generalization methods aim to learn models robust to domain shift...
Unsupervised domain adaptation methods aim to generalize well on unlabel...
Unsupervised domain adaptation (UDA) has successfully addressed the doma...
Sleep staging is of great importance in the diagnosis and treatment of s...
Learning decent representations from unlabeled time-series data with tem...
While deep neural networks demonstrate state-of-the-art performance on a...
Graphs are by nature unifying abstractions that can leverage
interconnec...
Accurate estimation of remaining useful life (RUL) of industrial equipme...