Repository: Freie Universit├Ąt Berlin, Math Department

Browse by Authors

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Date | Item Type
Jump to: Article
Number of items: 5.

Article

Weimann, K. and Conrad, T. O. F. (2023) Predicting Coma Recovery After Cardiac Arrest With Residual Neural Networks. Computing in Cardiology (CinC) 2023 . (In Press)

Weimann, K. and Conrad, T. O. F. (2023) Federated learning improves performance of ECG classifiers. npj Digital Medicine . (Submitted)

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. (2022) Forget Embedding Layers: Representation Learning for Recommender Systems. IEEE Transactions on Pattern Analysis and Machine Intelligence . ISSN 1939-3539 (Submitted)

Weimann, K. and Conrad, T. O. F. (2021) Transfer Learning for ECG Classification. Scientific Reports, 11 (5251). ISSN 2045-2322

This list was generated on Mon May 27 02:50:21 2024 CEST.