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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)AVEC 2015: The 5th International Audio/Visual Emotion Challenge and Workshop., , , , and . ACM Multimedia, page 1335-1336. ACM, (2015)Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations., , , , , and . DH, page 53-57. ACM, (2017)Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks., , , , , and . INTERSPEECH, page 3593-3597. ISCA, (2016)At the Border of Acoustics and Linguistics: Bag-of-Audio-Words for the Recognition of Emotions in Speech., , and . INTERSPEECH, page 495-499. ISCA, (2016)Towards Conditional Adversarial Training for Predicting Emotions from Speech., , , , and . ICASSP, page 6822-6826. IEEE, (2018)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)