Abstract: The classification of data streams presents considerable challenges, especially in the context of concept drift and label scarcity. Many existing approaches struggle to efficiently classify ...

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...

Ultimately, the QUANTUM tool aims to foster trust in health data across Europe by promoting reliable, reusable datasets that can be confidently shared within the European Health Data Space.