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Group by: Date | Item Type Jump to: Article Number of items: 6. ArticleWeimann, K. and Conrad, T. O. F. (2024) Federated Learning with Deep Neural Networks: A Privacy-Preserving Approach to Enhanced ECG Classification. IEEE Journal of Biomedical and Health Informatics, 28 (11). ISSN 2168-2194 Weimann, K. and Conrad, T. O. F. (2024) Self-Supervised Pre-Training with Joint-Embedding Predictive Architecture Boosts ECG Classification Performance. IEEE . (Submitted) Weimann, K. and Conrad, T. O. F. (2024) FELRec: Efficient Handling of Item Cold-Start With Dynamic Representation Learning in Recommender Systems. International Journal of Data Science and Analytics, 19 (1). Weimann, K. and Conrad, T. O. F. (2023) Predicting Coma Recovery After Cardiac Arrest With Residual Neural Networks. Computing in Cardiology (CinC) 2023, 50 . Melnyk, Kateryna and Weimann, K. and Conrad, T. O. F. (2023) Understanding microbiome dynamics via interpretable graph representation learning. Scientific Reports, 13 (2058). ISSN 2045-2322 Weimann, K. and Conrad, T. O. F. (2021) Transfer Learning for ECG Classification. Scientific Reports, 11 (5251). ISSN 2045-2322 |
