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Classification of Emotional States in a Woz Scenario Exploiting Labeled and Unlabeled Bio-physiological Data., , , , , and . PSL, volume 7081 of Lecture Notes in Computer Science, page 138-147. Springer, (2011)Transsituational Individual-Specific Biopsychological Classification of Emotions., , , , , and . IEEE Trans. Systems, Man, and Cybernetics: Systems, 43 (4): 988-995 (2013)Physiological Effects of Delayed System Response Time on Skin Conductance., , , , , and . MPRSS, volume 7742 of Lecture Notes in Computer Science, page 52-62. Springer, (2012)Emotion classification in human-computer interaction on the basis of physiological data.. University of Ulm, Germany, (2014)On the use of instantaneous mean frequency estimated from the Hilbert spectrum of facial electromyography for differentiating core affects., , , , , , , and . BMEI, page 568-572. IEEE, (2012)Facial electromyography (fEMG) activities in response to affective visual stimulation., , , , , , and . WACI, page 45-49. IEEE, (2011)Individual emotional profiles in Wizard-of-Oz-experiments., , , , , , , and . PETRA, ACM, (2010)Using unlabeled data to improve classification of emotional states in human computer interaction., , , , , and . J. Multimodal User Interfaces, 8 (1): 5-16 (2014)Repeatability of facial electromyography (EMG) activity over corrugator supercilii and zygomaticus major on differentiating various emotions., , , , , , and . J. Ambient Intelligence and Humanized Computing, 3 (1): 3-10 (2012)Multimodal Emotion Classification in Naturalistic User Behavior., , , , , , , , , and . HCI (3), volume 6763 of Lecture Notes in Computer Science, page 603-611. Springer, (2011)