| A classification scheme for chimera states FP Kemeth, SW Haugland, L Schmidt, IG Kevrekidis, K Krischer Chaos: An Interdisciplinary Journal of Nonlinear Science 26 (9), 2016 | 184 | 2016 |
| The effect of data augmentation on classification of atrial fibrillation in short single-lead ECG signals using deep neural networks FN Hatamian, N Ravikumar, S Vesal, FP Kemeth, M Struck, A Maier ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 48 | 2020 |
| Symmetries of chimera states FP Kemeth, SW Haugland, K Krischer Physical review letters 120 (21), 214101, 2018 | 44 | 2018 |
| Cluster singularity: The unfolding of clustering behavior in globally coupled Stuart-Landau oscillators FP Kemeth, SW Haugland, K Krischer Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (2), 2019 | 25 | 2019 |
| An emergent space for distributed data with hidden internal order through manifold learning FP Kemeth, SW Haugland, F Dietrich, T Bertalan, K Höhlein, Q Li, ... IEEE Access 6, 77402-77413, 2018 | 25 | 2018 |
| A capacitance mediated positive differential resistance oscillator model for electrochemical systems involving a surface layer C Zensen, K Schönleber, F Kemeth, K Krischer The Journal of Physical Chemistry C 118 (42), 24407-24414, 2014 | 19 | 2014 |
| Combining scatter transform and deep neural networks for multilabel electrocardiogram signal classification MP Oppelt, M Riehl, FP Kemeth, J Steffan 2020 Computing in Cardiology, 1-4, 2020 | 18 | 2020 |
| Learning emergent partial differential equations in a learned emergent space FP Kemeth, T Bertalan, T Thiem, F Dietrich, SJ Moon, CR Laing, ... Nature communications 13 (1), 3318, 2022 | 15 | 2022 |
| Learning emergent PDEs in a learned emergent space FP Kemeth, T Bertalan, T Thiem, F Dietrich, SJ Moon, CR Laing, ... arXiv preprint arXiv:2012.12738, 2020 | 12 | 2020 |
| Lyapunov spectra and collective modes of chimera states in globally coupled Stuart-Landau oscillators K Höhlein, FP Kemeth, K Krischer Physical Review E 100 (2), 022217, 2019 | 10 | 2019 |
| Black and gray box learning of amplitude equations: Application to phase field systems FP Kemeth, S Alonso, B Echebarria, T Moldenhawer, C Beta, ... Physical Review E 107 (2), 025305, 2023 | 8 | 2023 |
| 2-cluster fixed-point analysis of mean-coupled Stuart–Landau oscillators in the center manifold FP Kemeth, B Fiedler, SW Haugland, K Krischer Journal of Physics: Complexity 2 (2), 025005, 2021 | 8 | 2021 |
| Global and local reduced models for interacting, heterogeneous agents TN Thiem, FP Kemeth, T Bertalan, CR Laing, IG Kevrekidis Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (7), 2021 | 7 | 2021 |
| Initializing LSTM internal states via manifold learning FP Kemeth, T Bertalan, N Evangelou, T Cui, S Malani, IG Kevrekidis Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (9), 2021 | 6 | 2021 |
| Global heteroclinic rebel dynamics among large 2-clusters in permutation equivariant systems B Fiedler, SW Haugland, FP Kemeth, K Krischer SIAM Journal on Applied Dynamical Systems 20 (3), 1277-1319, 2021 | 3 | 2021 |
| Symmetry Breaking in Networks of Globally Coupled Oscillators FP Kemeth Technische Universität München, 2019 | 3 | 2019 |
| The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks F Nejati Hatamian, N Ravikumar, S Vesal, FP Kemeth, M Struck, A Maier arXiv e-prints, arXiv: 2002.02870, 2020 | 2 | 2020 |
| An equal space for complex data with unknown internal order: Observability, gauge invariance and manifold learning FP Kemeth, SW Haugland, F Dietrich, T Bertalan, Q Li, EM Bollt, R Talmon, ... arXiv preprint arXiv:1708.05406, 2017 | 2 | 2017 |
| Questionnaires to PDEs: From Disorganized Data to Emergent Generative Dynamic Models DW Sroczynski, FP Kemeth, RR Coifman, IG Kevrekidis arXiv preprint arXiv:2204.11961, 2022 | 1 | 2022 |
| Learning Partial Differential Equations in Emergent Coordinates F Kemeth, T Bertalan, T Thiem, IG Kevrekidis 2021 AIChE Annual Meeting, 2021 | 1 | 2021 |
