| Early prediction of circulatory failure in the intensive care unit using machine learning SL Hyland, M Faltys, M Hüser, X Lyu, T Gumbsch, C Esteban, C Bock, ... Nature Medicine 26 (3), 364-373, 2020 | 403 | 2020 |
| Wasserstein Weisfeiler-Lehman Graph Kernels M Togninalli, E Ghisu, F Llinares-López, B Rieck, K Borgwardt Advances in Neural Information Processing Systems (NeurIPS) 32, 6436--6446, 2019 | 280 | 2019 |
| A Survey of Topological Machine Learning Methods F Hensel, M Moor, B Rieck Frontiers in Artificial Intelligence 4, 681108, 2021 | 238 | 2021 |
| Comorbidities, clinical signs and symptoms, laboratory findings, imaging features, treatment strategies, and outcomes in adult and pediatric patients with COVID-19: A … CR Jutzeler, L Bourguignon, CV Weis, B Tong, C Wong, B Rieck, ... Travel Medicine and Infectious Disease 37, 101825, 2020 | 228 | 2020 |
| Topological Autoencoders M Moor, M Horn, B Rieck, K Borgwardt International Conference on Machine Learning, 7045--7054, 2020 | 210 | 2020 |
| Accelerating Detection of Lung Pathologies with Explainable Ultrasound Image Analysis J Born, N Wiedemann, M Cossio, C Buhre, G Brändle, K Leidermann, ... Applied Sciences 11 (2), 672, 2021 | 172 | 2021 |
| Set Functions for Time Series M Horn, M Moor, C Bock, B Rieck, K Borgwardt International Conference on Machine Learning (ICML), 4353-4363, 2020 | 159 | 2020 |
| Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology B Rieck, M Togninalli, C Bock, M Moor, M Horn, T Gumbsch, K Borgwardt International Conference on Learning Representations (ICLR), 2019 | 157 | 2019 |
| Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review M Moor, B Rieck, M Horn, CR Jutzeler, K Borgwardt Frontiers in Medicine 8, 2021 | 153 | 2021 |
| Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning C Weis, A Cuénod, B Rieck, O Dubuis, S Graf, C Lang, M Oberle, ... Nature Medicine 28 (1), 164-174, 2022 | 147 | 2022 |
| Graph Kernels: State-Of-The-Art and Future Challenges K Borgwardt, E Ghisu, F Llinares-López, L O’Bray, B Rieck Foundations and Trends in Machine Learning 13 (5-6), 531-712, 2020 | 140 | 2020 |
| Weisfeiler and Leman go Machine Learning: The Story so far C Morris, Y Lipman, H Maron, B Rieck, NM Kriege, M Grohe, M Fey, ... Journal of Machine Learning Research 24 (333), 1--59, 2023 | 136 | 2023 |
| Topological Graph Neural Networks M Horn, E De Brouwer, M Moor, Y Moreau, B Rieck, K Borgwardt international Conference on Learning Representations (ICLR), 2022 | 118 | 2022 |
| Graph Filtration Learning CD Hofer, F Graf, B Rieck, M Niethammer, R Kwitt International Conference on Machine Learning (ICML) 119, 4314--4323, 2020 | 118 | 2020 |
| Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping M Moor, M Horn, B Rieck, D Roqueiro, K Borgwardt Machine Learning for Healthcare 2019, 2019 | 118* | 2019 |
| A Persistent Weisfeiler–Lehman Procedure for Graph Classification B Rieck, C Bock, K Borgwardt International Conference on Machine Learning (ICML), 2019 | 110 | 2019 |
| A sandbox for prediction and integration of DNA, RNA, and proteins in single cells MD Luecken, DB Burkhardt, R Cannoodt, C Lance, A Agrawal, H Aliee, ... Advances in Neural Information Processing Systems (NeurIPS Datasets and …, 2021 | 106 | 2021 |
| Persistent Homology for the Evaluation of Dimensionality Reduction Schemes B Rieck, H Leitte Computer Graphics Forum 34 (3), 2015 | 83 | 2015 |
| Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence B Rieck, T Yates, C Bock, K Borgwardt, G Wolf, N Turk-Browne†, ... Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 76 | 2020 |
| Clique Community Persistence: A Topological Visual Analysis Approach for Complex Networks B Rieck, U Fugacci, J Lukasczyk, H Leitte IEEE Transactions on Visualization and Computer Graphics 24 (1), 822-831, 2018 | 74 | 2018 |
Karsten BorgwardtDirector, Max Planck Institute of Biochemistry在 biochem.mpg.de 的电子邮件经过验证
