Predicting the SARS-CoV-2 effective reproduction number using bulk contact data from mobile phones S Rüdiger, S Konigorski, A Rakowski, JA Edelman, D Zernick, A Thieme, ... Proceedings of the National Academy of Sciences 118 (31), e2026731118, 2021 | 27 | 2021 |
Robust Bayesian and light neural networks for voice spoofing detection R Białobrzeski, M Kośmider, M Matuszewski, M Plata, A Rakowski Proc. Interspeech 2019, 1028-1032, 2019 | 15 | 2019 |
Hand shape recognition using very deep convolutional neural networks A Rakowski, L Wandzik Proceedings of the 1st International Conference on Control and Computer …, 2018 | 10 | 2018 |
Frequency-aware CNN for open set acoustic scene classification A Rakowski, M Kosmider Proceedings of the Detection and Classification of Acoustic Scenes and …, 2019 | 9 | 2019 |
Disentanglement and local directions of variance A Rakowski, C Lippert Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 3 | 2021 |
Metadata-guided feature disentanglement for functional genomics A Rakowski, R Monti, V Huryn, M Lemanczyk, U Ohler, C Lippert Bioinformatics 40 (Supplement_2), ii4-ii10, 2024 | | 2024 |
TransferGWAS of T1-weighted Brain MRI Data from the UK Biobank A Rakowski, R Monti, C Lippert medRxiv, 2024.06. 11.24308721, 2024 | | 2024 |
Heterogeneous Medical Data Integration with Multi-Source StyleGAN WC Lai, M Kirchler, H Yassin, J Fehr, A Rakowski, H Olsson, L Starke, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
DCID: Deep Canonical Information Decomposition A Rakowski, C Lippert Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
Evaluating Age-Related Anatomical Consistency in Synthetic Brain MRI against Real-World Alzheimer's Disease Data. H Yassin, J Fehr, WC Lai, A Krichevsky, A Rakowski, C Lippert Medical Imaging with Deep Learning, 0 | | |