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Adaptive confidence learning for the personalization of pain intensity estimation systems.

, , , , , , and . Evol. Syst., 8 (1): 71-83 (2017)

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Using a Quartile-based Data Transformation for Pain Intensity Classification based on the SenseEmotion Database., , and . ACII Workshops, page 310-316. IEEE, (2019)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)A Temporal Dependency Based Multi-modal Active Learning Approach for Audiovisual Event Detection., , , and . Neural Processing Letters, 48 (2): 709-732 (2018)Subject-independent Pain Recognition using Physiological Signals and Para-linguistic Vocalizations., , , , and . ICPRAM, page 142-150. SCITEPRESS, (2020)Detection of Emotional Events utilizing Support Vector Methods in an Active Learning HCI Scenario., , , , and . ERM4HCI@ICMI, page 31-36. ACM, (2014)Ensembles of Support Vector Data Description for Active Learning Based Annotation of Affective Corpora., , , and . SSCI, page 1801-1807. IEEE, (2015)Visualizing Facial Expression Features of Pain and Emotion Data., , and . MPRSS, volume 11377 of Lecture Notes in Computer Science, page 101-115. Springer, (2018)Combining Deep and Hand-Crafted Features for Audio-Based Pain Intensity Classification., and . MPRSS, volume 11377 of Lecture Notes in Computer Science, page 49-58. Springer, (2018)Pain recognition with camera photoplethysmography., , , and . IPTA, page 1-5. IEEE, (2017)