Two Will Do: CNN With Asymmetric Loss, Self-Learning Label Correction, and Hand-Crafted Features for Imbalanced Multi-Label ECG Data Classification

Vazquez, Cristina Gallego; Breuss, Alexander; Gnarra, Oriella; Portmann, Julian; Da Poian, Giulia (10 January 2022). Two Will Do: CNN With Asymmetric Loss, Self-Learning Label Correction, and Hand-Crafted Features for Imbalanced Multi-Label ECG Data Classification. In: 2021 Computing in Cardiology (CinC) (pp. 1-4). IEEE 10.23919/CinC53138.2021.9662741

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Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology

UniBE Contributor:

Gnarra, Oriella

Subjects:

600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

ISBN:

978-1-6654-7916-5

Publisher:

IEEE

Language:

English

Submitter:

Aileen Charlotte Naef

Date Deposited:

07 Nov 2022 14:08

Last Modified:

05 Dec 2022 16:27

Publisher DOI:

10.23919/CinC53138.2021.9662741

BORIS DOI:

10.48350/174547

URI:

https://boris.unibe.ch/id/eprint/174547

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