Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data
<p>Data scarcity remains a significant challenge in the field of emotion recognition using physiological signals, as acquiring comprehensive and diverse datasets is often prevented by privacy concerns and logistical constraints. This limitation restricts the development and generalization of robust...
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
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IntechOpen
2026
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/1235041 |
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