- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Machine learning for human emotion recognition: a comprehensive review ; volume:36 ; number:16 ; day:20 ; month:2 ; year:2024 ; pages:8901-8947 ; date:6.2024
Neural computing & applications ; 36, Heft 16 (20.2.2024), 8901-8947, 6.2024
- Creator
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Younis, Eman M. G.
Mohsen, Someya
Houssein, Essam H.
Ibrahim, Osman Ali Sadek
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s00521-024-09426-2
- URN
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urn:nbn:de:101:1-2407221024346.498773013707
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:57 AM CEST
Data provider
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Associated
- Younis, Eman M. G.
- Mohsen, Someya
- Houssein, Essam H.
- Ibrahim, Osman Ali Sadek
- SpringerLink (Online service)
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Correction: Machine learning for human emotion recognition: a comprehensive review
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Enhanced semi-supervised learning for multimodal emotion recognition
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Learning with synthesized speech for automatic emotion recognition
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Correction: Machine learning for human emotion recognition: a comprehensive review
Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
Connecting subspace learning and extreme learning machine in speech emotion recognition
Meta-transfer learning for emotion recognition
Electrodermal Activity Based Emotion Recognition using Time-Frequency Methods and Machine Learning Algorithms
Harmonious Mutual Learning for Facial Emotion Recognition
Feature Transfer Learning for Speech Emotion Recognition
Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Enhanced semi-supervised learning for multimodal emotion recognition
Unsupervised learning in cross-corpus acoustic emotion recognition
Learning with synthesized speech for automatic emotion recognition