Daniel Gedon

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	All	Since 2019
Citations	140	138
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Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
Antônio H. RibeiroKTH Royal Institute of TechnologyVerified email at kth.se
Niklas WahlströmAssistant Professor, Uppsala University, SwedenVerified email at it.uu.se
Lennart LjungProfessor of Automatic Control, Linköping University, SwedenVerified email at isy.liu.se
Antonio Luiz P. RibeiroUniversidade Federal de Minas Gerais, BrasilVerified email at hc.ufmg.br
Johan SundströmUppsala University, Sweden; and The George Institute for Global Health, Sydney, AustraliaVerified email at medsci.uu.se
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
Joachim A. BeharTechnion-IITVerified email at technion.ac.il
Fredrik K. GustafssonPostdoctoral Researcher, Karolinska InstitutetVerified email at ki.se
Michel VerhaegenProfessor Systems and Control, Delft University of TechnologyVerified email at tudelft.nl
Kim BatselierDelft University of TechnologyVerified email at tudelft.nl
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
Carl JidlingUppsala UniversityVerified email at it.uu.se

Daniel Gedon

PhD Student, Uppsala University, Sweden

Verified email at it.uu.se - Homepage

Machine Learning Representation Learning System Identification Temporal Data


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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	87	2021
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	15	2023
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	14*	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	8	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
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
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	2	2023
Invertible Kernel PCA with Random Fourier Features D Gedon, AH Ribeiro, N Wahlstörm, TB Schön IEEE Signal Processing Letters, 2023	2	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
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	1	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	1	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, 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
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
Tensor Network Kalman Filter for Large-Scale MIMO Systems: With Application to Adaptive Optics D Gedon		2019

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