Daniel Gedon
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Deep state space models for nonlinear system identification
D Gedon, N Wahlström, TB Schön, L Ljung
IFAC-PapersOnLine 54 (7), 481-486, 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
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
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
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
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
Invertible kernel pca with random fourier features
D Gedon, AH Ribeiro, N Wahlström, TB Schön
IEEE Signal Processing Letters 30, 563-567, 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
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
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
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
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
On Deep Learning for Low-Dimensional Representations
D Gedon
Acta Universitatis Upsaliensis, 2024
Uncertainty Estimation with Recursive Feature Machines
D Gedon, A Abedsoltan, TB Schön, M Belkin
The 40th Conference on Uncertainty in Artificial Intelligence, 2024
Modern approaches to lectures in STEM education—a review
D Gedon
Tensor Network Kalman Filter for Large-Scale MIMO Systems: With Application to Adaptive Optics
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
No Double Descent in PCA: Training and Pre-Training in High Dimensions
D Gedon, AH Ribeiro, TB Schön
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