Nov 20, 2019 · This paper proposes to use the hidden Markov model for the detection of the transitional instances. It shows experimentally on 35 sleep EEG recordings that ...
Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances · List of references · Publications that cite this publication.
Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances. Proceedings 2019, 31, 46. https://doi.org/10.3390 ...
In [7] , we proposed an active learning based semi-automatic sleep scoring approach. It was found that the training data instances whose labels differ from ...
The flow diagram of semi-automated scoring of EEG data. Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances.
Oct 7, 2024 · Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances. UCAmI 2019: 46; 2018. [c12]. view.
Martin Macas , Nela Grimová, Václav Gerla , Lenka Lhotská : Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous ...
Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances ... Medical and Biological Engineering and Computing.
Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances. Proceedings. 2019-11 | Journal article | Author. DOI ...
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