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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)Automatic Recognition of Affective Laughter in Spontaneous Dyadic Interactions from Audiovisual Signals., , and . ICMI, page 220-228. ACM, (2018)AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge., , , , , , , , , and . CoRR, (2016)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)Bird sounds classification by large scale acoustic features and extreme learning machine., , , and . GlobalSIP, page 1317-1321. IEEE, (2015)Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data, , , , , , , and . Pattern Recognition Letters, (2015)AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge., , , , , , , , , and . AVEC@ACM Multimedia, page 3-9. ACM, (2017)AV+EC 2015: The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data., , , , , , , and . AVEC@ACM Multimedia, page 3-8. ACM, (2015)Spectral and Cepstral Audio Noise Reduction Techniques in Speech Emotion Recognition., , , and . ACM Multimedia, page 670-674. ACM, (2016)