Diop, T., Samb, C.O., Diop, A.B., Fall, L., Cisse, O., Diouf, C. and Scholte, P. (2026) Resource-Use Conflicts in the ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Quantum computing is no longer a distant research project—it’s steadily moving toward real-world capability. While large-scale, fault-tolerant quantum computers aren’t ...
This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
Personal Perspective: "Normal" isn’t perfection but a statistical range based on population data. Diagnoses compare ...
Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...
Abstract: Self-supervised tasks show significant advantages for node representation learning in recommender systems. This core idea of self-supervised task-based recommender systems depends on data ...