| Deep state space models for nonlinear system identification D Gedon, N Wahlström, TB Schön, L Ljung IFAC-PapersOnLine 54 (7), 481-486, 2021 | 58 | 2021 |
| Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients S Gustafsson, D Gedon, E Lampa, AH Ribeiro, MJ Holzmann, TB Schön, ... Scientific Reports 12 (1), 19615, 2022 | 8* | 2022 |
| Automatic 12-lead ECG classification using a convolutional network ensemble AH Ribeiro, D Gedon, DM Teixeira, MH Ribeiro, ALP Ribeiro, TB Schön, ... 2020 Computing in Cardiology, 1-4, 2020 | 7 | 2020 |
| First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG D Gedon, AH Ribeiro, N Wahlström, TB Schön 2021 Computing in Cardiology, 1-4, 2021 | 5 | 2021 |
| PointingSat—high precision pointing error analysis with ESA PEET v1. 0 T Ott, M Hirth, M Casasco, S Goerries, D Gedon, A Ponche 10th International ESA Conference on GNC Systems, Salzburg, Austria, 2017 | 3 | 2017 |
| Deep networks for system identification: a Survey G Pillonetto, A Aravkin, D Gedon, L Ljung, AH Ribeiro, TB Schön arXiv preprint arXiv:2301.12832, 2023 | 1 | 2023 |
| ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods P Von Bachmann, D Gedon, FK Gustafsson, AH Ribeiro, E Lampa, ... arXiv preprint arXiv:2212.13890, 2022 | 1 | 2022 |
| Tensor network Kalman filter for LTI systems D Gedon, P Piscaer, K Batselier, C Smith, M Verhaegen 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 1 | 2019 |
| End-to-end risk prediction of atrial fibrillation from the 12-Lead ECG by deep neural networks T Habineza, AH Ribeiro, D Gedon, JA Behar, ALP Ribeiro, TB Schön Journal of Electrocardiology, 2023 | | 2023 |
| Screening for Chagas disease from the electrocardiogram using a deep neural network C Jidling, D Gedon, TB Schön, CDL Oliveira, CS Cardoso, AM Ferreira, ... PLOS Neglected Tropical Diseases 17 (7), e0011118, 2023 | | 2023 |
| Invertible Kernel PCA with Random Fourier Features D Gedon, AH Ribeiro, N Wahlstörm, TB Schön IEEE Signal Processing Letters, 2023 | | 2023 |
| Modern approaches to lectures in STEM education—a review D Gedon | | 2022 |
| No Double Descent in PCA: Training and Pre-Training in High Dimensions D Gedon, AH Ribeiro, TB Schön | | 2022 |
| Distributed training and scalability for the particle clustering method UCluster OS Gudnadottir, D Gedon, C Desmarais, KB Bernander, R Sainudiin, ... EPJ Web of Conferences 251, 02054, 2021 | | 2021 |
| Tensor Network Kalman Filter for Large-Scale MIMO Systems: With Application to Adaptive Optics D Gedon | | 2019 |
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
