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Audio-Visual Recognition of Pain Intensity.

, , , , and . MPRSS, volume 10183 of Lecture Notes in Computer Science, page 110-126. Springer, (2016)

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Continuous Multimodal Human Affect Estimation using Echo State Networks., , , , and . AVEC@ACM Multimedia, page 67-74. ACM, (2016)Using a Quartile-based Data Transformation for Pain Intensity Classification based on the SenseEmotion Database., , and . ACII Workshops, page 310-316. IEEE, (2019)Audio-Visual Recognition of Pain Intensity., , , , and . MPRSS, volume 10183 of Lecture Notes in Computer Science, page 110-126. Springer, (2016)Subject-independent Pain Recognition using Physiological Signals and Para-linguistic Vocalizations., , , , and . ICPRAM, page 142-150. SCITEPRESS, (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)Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario., , and . ANNPR, volume 12294 of Lecture Notes in Computer Science, page 149-161. Springer, (2020)Adaptive confidence learning for the personalization of pain intensity estimation systems., , , , , , and . Evol. Syst., 8 (1): 71-83 (2017)Pain recognition with camera photoplethysmography., , , and . IPTA, page 1-5. IEEE, (2017)Multi-modal data fusion for pain intensity assessment and classification., and . IPTA, page 1-6. IEEE, (2017)