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Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning.

, , , , , and . IEEE Access, (2018)

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Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning., , , , , and . IEEE Access, (2018)AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge., , , , , , , , , and . CoRR, (2016)Automatic Recognition of Affective Laughter in Spontaneous Dyadic Interactions from Audiovisual Signals., , and . ICMI, page 220-228. ACM, (2018)Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations., , , , , and . DH, page 53-57. ACM, (2017)AVEC 2015: The 5th International Audio/Visual Emotion Challenge and Workshop., , , , and . ACM Multimedia, page 1335-1336. ACM, (2015)Enhanced semi-supervised learning for multimodal emotion recognition, , , , , and . Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on, page 5185--5189. IEEE, (2016)A closed-form solution to the graph total variation problem for continuous emotion profiling in noisy environment., , , , , , , , , and . Speech Communication, (2018)On the Influence of Emotional Feedback on Emotion Awareness and Gaze Behavior., , , , , and . ACII, page 448-453. IEEE Computer Society, (2013)A vowel based approach for acted emotion recognition., and . INTERSPEECH, page 2763-2766. ISCA, (2008)The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism., , , , , , , , , and 5 other author(s). INTERSPEECH, page 148-152. ISCA, (2013)