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Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification., , and . CIKM, page 991-1000. ACM, (2019)A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification., , , , , and . EUSIPCO, page 977-981. IEEE, (2018)Big Data, Deep Learning - At the Edge of X-Ray Speaker Analysis.. SPECOM, volume 10458 of Lecture Notes in Computer Science, page 20-34. Springer, (2017)Improving generalisation and robustness of acoustic affect recognition., , and . ICMI, page 517-522. ACM, (2012)AVEC 2012: the continuous audio/visual emotion challenge., , , , and . ICMI, page 449-456. ACM, (2012)VCMNet: Weakly Supervised Learning for Automatic Infant Vocalisation Maturity Analysis., , , , and . ICMI, page 205-209. ACM, (2019)Audio onset detection: A wavelet packet based approach with recurrent neural networks., , , , and . IJCNN, page 3585-3591. IEEE, (2014)Seeking the SuperStar: Automatic assessment of perceived singing quality., , , , and . IJCNN, page 1560-1569. IEEE, (2017)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks., , , , and . IEEE J. Sel. Top. Signal Process., 11 (8): 1301-1309 (2017)Determination of Nonprototypical Valence and Arousal in Popular Music: Features and Performances., , and . EURASIP J. Audio Speech Music. Process., (2010)