Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram
Author:
Funder
European Commission
Publisher
Elsevier BV
Subject
Hardware and Architecture,Information Systems,Signal Processing,Software
Reference103 articles.
1. Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods;Hüllermeier;Mach. Learn.,2021
2. The need for uncertainty quantification in machine-assisted medical decision making;Begoli;Nat. Mach. Intell.,2019
3. Second opinion needed: Communicating uncertainty in medical machine learning;Kompa;NPJ Digit. Med.,2021
4. F. Rewicki, J. Gawlikowski, Estimating Uncertainty of Deep Learning Multi-Label Classifications Using Laplace Approximation, in: IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 1560–1563.
5. Uncertainty in extreme multi-label classification;Jiang,2022
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