Data-Centric AI for EEG-Based Emotion Recognition: Noise Filtering and Augmentation Strategies
Research in the biomedical field often faces challenges due to the scarcity and high cost of data, which significantly limit the development and application of machine learning models. This paper introduces a data-centric AI framework for EEG-based emotion recognition that emphasizes improving data...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2025-11-01
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| Series: | Bioengineering |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2306-5354/12/11/1264 |
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