Repository: Freie Universit├Ąt Berlin, Math Department

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Number of items: 5.

2024

Weimann, 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 . (In Press)

2023

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

2022

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)

2021

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 Fri Jul 19 23:56:07 2024 CEST.