Comparative Analysis of Stress Prediction Using Unsupervised Machine Learning Algorithms
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58535-7_22
Reference10 articles.
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3. Fiorini, L., Mancioppi, G., Semeraro, F., Fujita, H., Cavallo, F.: Unsupervised emotional state classification through physiological parameters for social robotics applications. Knowl.-Based Syst. 190, 105217 (2020)
4. Huysmans, D., Smets, E., De Raedt, W., Van Hoof, C., Bogaerts, K., Van Diest, I., Helic, D.: Unsupervised learning for mental stress detection. In: Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, vol. 4, pp. 26–35 (2018)
5. Koldijk, S., Sappelli, M., Verberne, S., Neerincx, M.A., Kraaij, W.: The swell knowledge work dataset for stress and user modeling research. In: Proceedings of the 16th International Conference on Multimodal Interaction, pp. 291–298 (2014)
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