Daniel Gedon

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Thomas SchönProfessor, Uppsala UniversityE-mail confirmado em it.uu.se
Antônio H. RibeiroAssistant Professor, Uppsala UniversityE-mail confirmado em it.uu.se
Niklas WahlströmAssociate Professor, Uppsala University, SwedenE-mail confirmado em it.uu.se
Lennart LjungProfessor of Automatic Control, Linköping University, SwedenE-mail confirmado em isy.liu.se
Johan SundströmUppsala University, Sweden; and The George Institute for Global Health, Sydney, AustraliaE-mail confirmado em medsci.uu.se
Antonio Luiz P. RibeiroUniversidade Federal de Minas Gerais, BrasilE-mail confirmado em hc.ufmg.br
Gianluigi PillonettoProfessor of Automatic Control, University of PadovaE-mail confirmado em dei.unipd.it
Aleksandr AravkinUniversity of WashingtonE-mail confirmado em uw.edu
Fredrik K. GustafssonPostdoctoral Researcher, Karolinska InstitutetE-mail confirmado em ki.se
Joachim A. BeharAssociate Professor, Technion-IITE-mail confirmado em technion.ac.il
Manoel Horta RibeiroPrincetonE-mail confirmado em cs.princeton.edu
Michel VerhaegenProfessor Systems and Control, Delft University of TechnologyE-mail confirmado em tudelft.nl
Kim BatselierDelft University of TechnologyE-mail confirmado em tudelft.nl
Amirhesam AbedsoltanUniversity of California SanDiegoE-mail confirmado em ucsd.edu
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon ScholarE-mail confirmado em ucsd.edu
Carl JidlingUppsala UniversityE-mail confirmado em it.uu.se

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Daniel Gedon

Postdoctoral Fellow, Tübingen University

E-mail confirmado em uni-tuebingen.de - Página inicial

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	110	2021
Deep networks for system identification: a survey G Pillonetto, A Aravkin, D Gedon, L Ljung, AH Ribeiro, TB Schön Automatica 171, 111907, 2025	41	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	28	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	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	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	5*	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

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