Biblio

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2019
2018
Fernández-Macías, E., Gomez E., Hernández-Orallo J., Loe B. - S., Martens B., Martínez-Plumed F., et al. (2018).  A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work. Workshop on architectures and evaluation for generality, autonomy and progress in AI, IJCAI-ECAI 2018, AAMAS 2018 AND ICML 2018.
Oramas, S., Barbieri F., Nieto O., & Serra X. (2018).  Multimodal Deep Learning for Music Genre Classification. Transactions of the International Society for Music Information Retrieval. 1(1), 4-21. Abstract
2017
Oramas, S., Nieto O., Barbieri F., & Serra X. (2017).  Multi-label Music Genre Classification from Audio, Text and Images Using Deep Features. 18th International Society for Music Information Retrieval Conference (ISMIR 2017). Abstract
Chandna, P., Miron M., Janer J., & Gómez E. (2017).  Monoaural Audio Source Separation Using Deep Convolutional Neural Networks. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA ICA2017).
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