| Deep state space models for nonlinear system identification D Gedon, N Wahlström, TB Schön, L Ljung IFAC-PapersOnLine 54 (7), 481-486, 2021 | 111 | 2021 |
| Deep networks for system identification: a survey G Pillonetto, A Aravkin, D Gedon, L Ljung, AH Ribeiro, TB Schön Automatica 171, 111907, 2025 | 44 | 2025 |
| 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 | 30 | 2022 |
| 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 | 13 | 2021 |
| Invertible kernel pca with random fourier features D Gedon, AH Ribeiro, N Wahlström, TB Schön IEEE Signal Processing Letters 30, 563-567, 2023 | 10 | 2023 |
| 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 81, 193-200, 2023 | 9 | 2023 |
| 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 |
| Evaluating regression and probabilistic methods for ECG-based electrolyte prediction P von Bachmann, D Gedon, FK Gustafsson, AH Ribeiro, E Lampa, ... Scientific Reports 14 (1), 15273, 2024 | 6* | 2024 |
| Automatic 12-lead ecg classification using a convolutional network ensemble. In 2020 Computing in Cardiology AH Ribeiro, D Gedon, DM Teixeira, MH Ribeiro, ALP Ribeiro, TB Schön, ... IEEE, 2020 | 5 | 2020 |
| 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 | 4 | 2017 |
| 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 | 2 | 2021 |
| 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 | 2 | 2019 |
| 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 | 1 | 2023 |
| Uncertainty estimation with recursive feature machines D Gedon, A Abedsoltan, TB Schön, M Belkin The 40th Conference on Uncertainty in Artificial Intelligence, 2024 | | 2024 |
| No Double Descent in Principal Component Regression: A High-Dimensional Analysis D Gedon, AH Ribeiro, TB Schön Forty-first International Conference on Machine Learning, 2024 | | 2024 |
| On Deep Learning for Low-Dimensional Representations D Gedon Acta Universitatis Upsaliensis, 2024 | | 2024 |
| Modern approaches to lectures in STEM education—a review D Gedon | | 2022 |
| Tensor Network Kalman Filter for Large-Scale MIMO Systems: With Application to Adaptive Optics D Gedon | | 2019 |
| Tensor Network Kalman Filter for Large-Scale MIMO Systems D Gedon | | |
| On Feature Learning of Recursive Feature Machines and Automatic Relevance Determination D Gedon, A Abedsoltan, TB Schön, M Belkin UniReps: the First Workshop on Unifying Representations in Neural Models, 0 | | |
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
