Deep state space models for nonlinear system identification D Gedon, N Wahlström, TB Schön, L Ljung IFAC-PapersOnLine 54 (7), 481-486, 2021 | 94 | 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 | 19* | 2022 |
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 | 16 | 2023 |
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 | 7 | 2021 |
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 | 6 | 2020 |
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 | 3 | 2023 |
Invertible kernel pca with random fourier features D Gedon, AH Ribeiro, N Wahlström, TB Schön IEEE Signal Processing Letters 30, 563-567, 2023 | 3 | 2023 |
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 |
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 |
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 |
On Deep Learning for Low-Dimensional Representations D Gedon Acta Universitatis Upsaliensis, 2024 | | 2024 |
Uncertainty Estimation with Recursive Feature Machines D Gedon, A Abedsoltan, TB Schön, M Belkin The 40th Conference on Uncertainty in Artificial Intelligence, 2024 | | 2024 |
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 |
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 |
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 | | |
No Double Descent in PCA: Training and Pre-Training in High Dimensions D Gedon, AH Ribeiro, TB Schön | | |