3 papers
eess.SP2024
Self-Supervised Pre-Training with Joint-Embedding Predictive Architecture Boosts ECG Classification Performance
Kuba Weimann, Tim O. F. Conrad
Accurate diagnosis of heart arrhythmias requires the interpretation of electrocardiograms (ECG), which capture the electrical activity of the heart. Automating this process through…
cs.IR2022
FELRec: Efficient Handling of Item Cold-Start With Dynamic Representation Learning in Recommender Systems
Kuba Weimann, Tim O. F. Conrad
Recommender systems suffer from the cold-start problem whenever a new user joins the platform or a new item is added to the catalog. To address item cold-start, we propose to repla…
q-bio.QM2022
Understanding microbiome dynamics via interpretable graph representation learning
Kateryna Melnyk, Kuba Weimann, Tim O. F. Conrad
Large-scale perturbations in the microbiome constitution are strongly correlated, whether as a driver or a consequence, with the health and functioning of human physiology. However…