Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Gedon, Daniel"'
Autor:
Habineza, Theogene, Ribeiro, Antônio H., Gedon, Daniel, Behar, Joachim A., Ribeiro, Antonio Luiz P., Schön, Thomas B.
Publikováno v:
article{HABINEZA2023193, journal = {Journal of Electrocardiology}, volume = {81}, pages = {193-200}, year = {2023}, issn = {0022-0736}}
Background: Atrial fibrillation (AF) is one of the most common cardiac arrhythmias that affects millions of people each year worldwide and it is closely linked to increased risk of cardiovascular diseases such as stroke and heart failure. Machine lea
Externí odkaz:
http://arxiv.org/abs/2309.16335
Kernel principal component analysis (kPCA) is a widely studied method to construct a low-dimensional data representation after a nonlinear transformation. The prevailing method to reconstruct the original input signal from kPCA -- an important task f
Externí odkaz:
http://arxiv.org/abs/2303.05043
Autor:
Pillonetto, Gianluigi, Aravkin, Aleksandr, Gedon, Daniel, Ljung, Lennart, Ribeiro, Antônio H., Schön, Thomas B.
Deep learning is a topic of considerable current interest. The availability of massive data collections and powerful software resources has led to an impressive amount of results in many application areas that reveal essential but hidden properties o
Externí odkaz:
http://arxiv.org/abs/2301.12832
Autor:
Von Bachmann, Philipp, Gedon, Daniel, Gustafsson, Fredrik K., Ribeiro, Antônio H., Lampa, Erik, Gustafsson, Stefan, Sundström, Johan, Schön, Thomas B.
Objective: Imbalances of the electrolyte concentration levels in the body can lead to catastrophic consequences, but accurate and accessible measurements could improve patient outcomes. While blood tests provide accurate measurements, they are invasi
Externí odkaz:
http://arxiv.org/abs/2212.13890
Autor:
von Bachmann, Philipp1 (AUTHOR), Gedon, Daniel2 (AUTHOR) daniel.gedon@it.uu.se, Gustafsson, Fredrik K.3 (AUTHOR), Ribeiro, Antônio H.2 (AUTHOR), Lampa, Erik4 (AUTHOR), Gustafsson, Stefan4 (AUTHOR), Sundström, Johan4,5 (AUTHOR), Schön, Thomas B.2 (AUTHOR)
Publikováno v:
Scientific Reports. 7/3/2024, Vol. 14 Issue 1, p1-12. 12p.
Autor:
Gudnadottir, Olga Sunneborn, Gedon, Daniel, Desmarais, Colin, Bernander, Karl Bengtsson, Sainudiin, Raazesh, Suarez, Rebeca Gonzalez
Publikováno v:
EPJ Web Conf., 251 (2021) 02054
In recent years, machine-learning methods have become increasingly important for the experiments at the Large Hadron Collider (LHC). They are utilised in everything from trigger systems to reconstruction and data analysis. The recent UCluster method
Externí odkaz:
http://arxiv.org/abs/2109.00264
Deep state space models (SSMs) are an actively researched model class for temporal models developed in the deep learning community which have a close connection to classic SSMs. The use of deep SSMs as a black-box identification model can describe a
Externí odkaz:
http://arxiv.org/abs/2003.14162
Autor:
Jidling, Carl1 (AUTHOR), Gedon, Daniel1 (AUTHOR), Schön, Thomas B.1 (AUTHOR), Oliveira, Claudia Di Lorenzo2 (AUTHOR), Cardoso, Clareci Silva2 (AUTHOR), Ferreira, Ariela Mota3 (AUTHOR), Giatti, Luana4 (AUTHOR), Barreto, Sandhi Maria4 (AUTHOR), Sabino, Ester C.5 (AUTHOR), Ribeiro, Antonio L. P.6 (AUTHOR), Ribeiro, Antônio H.1 (AUTHOR) antonio.horta.ribeiro@it.uu.se
Publikováno v:
PLoS Neglected Tropical Diseases. 7/3/2023, Vol. 17 Issue 7, p1-17. 17p.
Publikováno v:
In IFAC PapersOnLine 2021 54(7):481-486
Autor:
Gustafsson, Stefan1,2 (AUTHOR), Gedon, Daniel3 (AUTHOR), Lampa, Erik1 (AUTHOR), Ribeiro, Antônio H.3 (AUTHOR), Holzmann, Martin J.4,5 (AUTHOR), Schön, Thomas B.3 (AUTHOR), Sundström, Johan1,6 (AUTHOR) johan.sundstrom@uu.se
Publikováno v:
Scientific Reports. 11/15/2022, Vol. 12 Issue 1, p1-14. 14p.