Endowing Intelligent Vehicles with the Ability to Learn User’s Habits and Preferences with Machine Learning Methods-Reference-Cited by-同舟云学术

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Endowing Intelligent Vehicles with the Ability to Learn User’s Habits and Preferences with Machine Learning Methods

Published:2022 Issue: Volume: Page:157-169
ISSN:0302-9743
Container-title:Intelligent Data Engineering and Automated Learning – IDEAL 2022
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Author:

Barbosa Paulo,Ferreira Flora,Fernandes Carlos,Erlhagen Wolfram,Guimarães Pedro,Wojtak Weronika,Monteiro Sérgio,Bicho Estela

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-21753-1_16

Reference18 articles.

1. Andropov, S., Guirik, A., Budko, M., Budko, M.: Network anomaly detection using artificial neural networks. In: 2017 20th Conference of Open Innovations Association (FRUCT), pp. 26–31. IEEE (2017)

2. Belkin, M., Hsu, D., Ma, S., Mandal, S.: Reconciling modern machine-learning practice and the classical bias-variance trade-off. Proc. National Acad. Sci. 116(32), 15849–15854 (2019)

3. Eagle, N., Pentland, A.S.: Eigenbehaviors: identifying structure in routine. Behav. Ecol. Sociobiol. 63(7), 1057–1066 (2009)

4. Fernandes, C., Ferreira, F., Erlhagen, W., Monteiro, S., Bicho, E.: A deep learning approach for intelligent cockpits: learning drivers routines. In: International Conference on Intelligent Data Engineering and Automated Learning, pp. 173–183. Springer (2020). https://doi.org/10.1007/978-3-030-62365-4_17

5. Goldberg, Y.: Neural network methods for natural language processing. Synth. Lect. Hum. Lang. Technol. 10(1), 1–309 (2017)

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