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Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity.

, , , , , , and . EANN, volume 517 of Communications in Computer and Information Science, page 275-285. Springer, (2015)

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Continuous Multimodal Human Affect Estimation using Echo State Networks., , , , and . AVEC@ACM Multimedia, page 67-74. ACM, (2016)Audio-Visual Recognition of Pain Intensity., , , , and . MPRSS, volume 10183 of Lecture Notes in Computer Science, page 110-126. Springer, (2016)Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels., , , , and . J. Sel. Topics Signal Processing, 10 (5): 854-864 (2016)Using a Quartile-based Data Transformation for Pain Intensity Classification based on the SenseEmotion Database., , and . ACII Workshops, page 310-316. IEEE, (2019)Two-Stream Attention Network for Pain Recognition from Video Sequences., , and . Sensors, 20 (3): 839 (2020)A Temporal Dependency Based Multi-modal Active Learning Approach for Audiovisual Event Detection., , , and . Neural Processing Letters, 48 (2): 709-732 (2018)Detection of Emotional Events utilizing Support Vector Methods in an Active Learning HCI Scenario., , , , and . ERM4HCI@ICMI, page 31-36. ACM, (2014)Perspective on mHealth Concepts to Ensure Users' Empowerment-From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment., , , , , , , , , and 8 other author(s). IEEE Access, (2021)Subject-independent Pain Recognition using Physiological Signals and Para-linguistic Vocalizations., , , , and . ICPRAM, page 142-150. SCITEPRESS, (2020)Multimodal fusion including camera photoplethysmography for pain recognition., , , and . ICCT, page 1-4. IEEE, (2017)