Personalized k-fold Cross-Validation Analysis with Transfer from Phasic to Tonic Pain Recognition on X-ITE Pain Database-Reference-Cited by-同舟云学术

Personalized k-fold Cross-Validation Analysis with Transfer from Phasic to Tonic Pain Recognition on X-ITE Pain Database

Published:2021 Issue: Volume: Page:788-802
ISSN:0302-9743
Container-title:Pattern Recognition. ICPR International Workshops and Challenges
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Author:

Wally Youssef,Samaha Yara,Yasser Ziad,Walter Steffen,Schwenker Friedhelm^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-68780-9_59

Reference28 articles.

1. Lucey, P., et al.: Painful data: the UNBC-McMaster shoulder pain expression archive database. Face and Gesture 2011. IEEE (2011)

2. Niese, R., et al.: Towards pain recognition in post-operative phases using 3d-based features from video and support vector machines. Int. J. Dig. Content Technol. Appl. 3(4), 21–31 (2009)

3. Hammal, Z., Kunz, M.: Pain monitoring: a dynamic and context-sensitive system. Pattern Recogn. 45(4), 1265–1280 (2012)

4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);P Thiam,2019

5. Thiam, P., Schwenker, F.: Multi-modal data fusion for pain intensity assessment and classification. In: Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), p. 2017. IEEE (2017)

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