Daniel Gedon

Cited by

	All	Since 2019
Citations	199	197
h-index	6	6
i10-index	4	4

100

201720182019202020212022202320241 1 2 12 27 54 99

Public access

View all

10 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
Antônio H. RibeiroAssistant Professor, Uppsala UniversityVerified email at it.uu.se
Niklas WahlströmAssociate Professor, Uppsala University, SwedenVerified email at it.uu.se
Lennart LjungProfessor of Automatic Control, Linköping University, SwedenVerified email at isy.liu.se
Johan SundströmUppsala University, Sweden; and The George Institute for Global Health, Sydney, AustraliaVerified email at medsci.uu.se
Antonio Luiz P. RibeiroUniversidade Federal de Minas Gerais, BrasilVerified email at hc.ufmg.br
Gianluigi PillonettoProfessor of Automatic Control, University of PadovaVerified email at dei.unipd.it
Aleksandr AravkinUniversity of WashingtonVerified email at uw.edu
Manoel Horta RibeiroEPFLVerified email at epfl.ch
Fredrik K. GustafssonPostdoctoral Researcher, Karolinska InstitutetVerified email at ki.se
Joachim A. BeharAssociate Professor, Technion-IITVerified email at technion.ac.il
Amirhesam AbedsoltanUniversity of California SanDiegoVerified email at ucsd.edu
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon ScholarVerified email at ucsd.edu
Michel VerhaegenProfessor Systems and Control, Delft University of TechnologyVerified email at tudelft.nl
Kim BatselierDelft University of TechnologyVerified email at tudelft.nl
Carl JidlingUppsala UniversityVerified email at it.uu.se

Daniel Gedon

Postdoctoral Fellow, Tübingen University

Verified email at uni-tuebingen.de - Homepage

Machine Learning Representation Learning System Identification Temporal Data


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep state space models for nonlinear system identification D Gedon, N Wahlström, TB Schön, L Ljung IFAC-PapersOnLine 54 (7), 481-486, 2021	106	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	26	2022
Deep networks for system identification: a survey G Pillonetto, A Aravkin, D Gedon, L Ljung, AH Ribeiro, TB Schön Automatica 171, 111907, 2025	25	2025
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	8	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	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	5	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	4	2017
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	2*	2024
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
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
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
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
No Double Descent in PCA: Training and Pre-Training in High Dimensions D Gedon, AH Ribeiro, TB Schön

The system can't perform the operation now. Try again later.

Articles 1–19

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors