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Improving GAN with Neighbors Embedding and Gradient Matching
NT Tran, TA Bui, NM Cheung, 2019, in Proc. AAAI-2019. The Thirty-Third AAAI Conference on Artificial Intelligence, https://www.dropbox.com/s/juqi3hc8h6m5el3/trung_aaai19.pdf?dl=0
Interaction Recognition Through Body Parts Relation Reasoning
Mauricio Perez, Jun Liu, Alex C. Kot, 2019, Asian Conference on Pattern Recognition (ACPR), Asian Conference on Pattern Recognition (ACPR), Asian Conference on Pattern Recognition (ACPR)
Investigating Feedback for Two-Handed Exploration of Digital Maps without Vision
Sandra Bardot, Marcos Serrano, Simon T. Perrault, Shengdong Zhao and Christophe Jouffrais, 2019, INTERACT 2019, to appear, 20
Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks
Cheuk K.W., BT B, Roig G., Herremans D., 2019, Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2019), Singapore
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders
Luo Y.J., Agres K., Herremans D., 2019, Proceedings of the International Society of Music Information Retrieval conference (ISMIR), http://dorienherremans.com/sites/default/files/jyun-ismir.pdf
Learning Explicit and Implicit Structures for Targeted Sentiment Analysis
Hao Li and Wei Lu, 2019, EMNLP’19: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing
Learning Overlapping Community-based Networks
Y. Yuan, D. W. Soh, H. Yang, T. Q. S. Quek, 2019, IEEE Signal and Information Processing over Networks, IEEE Signal and Information Processing over Networks, IEEE Signal and Information Processing over Networks, IEEE Signal and Information Processing over Networks
Learning Unfaithful K-separable Gaussian Graphical Models
D. W. Soh, S. Tatikonda, 2019, Journal of Machine Learning Research (JMLR), vol. 20, Issue 109, pp. 1-30, Journal of Machine Learning Research (JMLR), vol. 20, Issue 109, pp. 1-30
Learning-Guided Network Fuzzing for Testing Cyber-Physical System Defences
Y. Chen, C.M. Poskitt, J. Sun, S. Adepu, and F. Zhang, 2019, In Proc. IEEE/ACM International Conference on Automated Software Engineering (ASE 2019). IEEE, 2019, https://arxiv.org/abs/1909.05410
Machine Learning Research that Matters for Music Creation: A Case Study
Sturm B., Ben-Tal O., Monaghan U., Collins N., Herremans D., Chew E., Hadjeres G., Deruty E., Pachet F, 2019, Journal of New Music Research, 48(1), 36-55, http://dorienherremans.com/sites/default/files/concert_paper_preprint.pdf