Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature

Abstract Emotion identification acts as a critical component in passive brain-computer interfaces. The domain of EEG-based emotion identification has garnered substantial attention owing to advancements in machine learning models, notably in terms of higher accuracy and broader generalization capabi...

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Principais autores:	Pragati Patel, Sivarenjani B., Ramesh Naidu Annavarapu
格式:	Artigo
語言:	Inglês
出版:	SpringerOpen 2025-05-01
叢編:	Journal of Big Data
主題:	Machine learning models Emotion recognition Tsallis entropy Nonextensive statistics Ensemble learning model
在線閱讀:	https://doi.org/10.1186/s40537-025-01177-8
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