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Deep Learning Theory and Applications
Fred, Ana [ed.]
;
Hadjali, Allel [ed.]
;
Gusikhin, Oleg [ed.]
;
Sansone, Carlo [ed.]
English Conference proceedings (Book) Scientific
Published: Springer Nature Switzerland AG, Cham, Switzerland
2024
Series:
Communications in Computer and Information Science 1865-0929 1865-0937, 2171
Identifiers
MTMT: 35180695
ISBN:
9783031666933
ISBN:
9783031666940
Other URL:
https://link.springer.com/10.1007/978-3-031-66694-0
Chapters
Maiorana Emanuele. Transmuting Wearable Sensor Data: From Inertial to Electrical-Like Measurements of Heart Activity. (2024) In: Deep Learning Theory and Applications pp. 3-15
Schlagowski R. et al. Exploring Physiology-Based Classification of Flow During Musical Improvisation in Mixed Reality. (2024) In: Deep Learning Theory and Applications pp. 296-309
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2025-04-24 20:49
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Citation styles:
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Harvard
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