Kuba Weimann

According to our database, Kuba Weimann authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

FELRec: efficient handling of item cold-start with dynamic representation learning in recommender systems.

Kuba Weimann, Tim O. F. Conrad

Int. J. Data Sci. Anal., September, 2025

Self-supervised pre-training with joint-embedding predictive architecture boosts ECG classification performance.

Kuba Weimann, Tim O. F. Conrad

Comput. Biol. Medicine, 2025

2024

Federated Learning With Deep Neural Networks: A Privacy-Preserving Approach to Enhanced ECG Classification.

Kuba Weimann, Tim O. F. Conrad

IEEE J. Biomed. Health Informatics, November, 2024

2023

Predicting Coma Recovery After Cardiac Arrest With Residual Neural Networks.

Kuba Weimann, Tim Conrad

Proceedings of the Computing in Cardiology, 2023

2022

Forget Embedding Layers: Representation Learning for Cold-start in Recommender Systems.

Kuba Weimann, Tim O. F. Conrad

CoRR, 2022

Understanding microbiome dynamics via interpretable graph representation learning.

Kateryna Melnyk, Kuba Weimann, Tim O. F. Conrad

CoRR, 2022