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The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge.

, , , , , , , and . CCPR (2), volume 663 of Communications in Computer and Information Science, page 652-666. (2016)

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Implicit Fusion by Joint Audiovisual Training for Emotion Recognition in Mono Modality., , , and . ICASSP, page 5861-5865. IEEE, (2019)Semisupervised Autoencoders for Speech Emotion Recognition., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 26 (1): 31-43 (2018)Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives Review Article., , and . IEEE Comput. Intell. Mag., 14 (2): 68-81 (2019)Active Learning by Sparse Instance Tracking and Classifier Confidence in Acoustic Emotion Recognition., and . INTERSPEECH, page 362-365. ISCA, (2012)Dynamic Difficulty Awareness Training for Continuous Emotion Prediction., , , and . CoRR, (2018)A hierarchical insurance recommendation framework using GraphOLAM approach., , , , and . ASONAM, page 757-764. ACM, (2019)Dynamic Active Learning Based on Agreement and Applied to Emotion Recognition in Spoken Interactions., , , , and . ICMI, page 275-278. ACM, (2015)GCFormer: A Graph Convolutional Transformer for Speech Emotion Recognition., , , and . ICMI, page 307-313. ACM, (2023)Frequency Domain Feature Learning with Wavelet Transform for Image Translation., , , , , , and . PRICAI (3), volume 14327 of Lecture Notes in Computer Science, page 345-357. Springer, (2023)Automated Classification of Children's Linguistic versus Non-Linguistic Vocalisations., , , and . INTERSPEECH, page 2588-2592. ISCA, (2018)