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Iglesias, C. A., Sánchez M., Guibert A., Guibertand M. J., & Gómez E. (2006).  A Multilingual Web-based Educational System for Professional Musicians. (Méndez-Vilas, A., Ed.).Current Developments in Technology-Assisted Education, Proceedings of Fourth International Conference on Multimedia and Information and Communication Technologies in Education. Abstract
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.
Serra, X. (2011).  A Multicultural Approach in Music Information Research. Int. Soc. for Music Information Retrieval Conf. (ISMIR). 151-156. Abstract
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
Zapata, J. R., Davies M. E. P., & Gómez E. (2014).  Multi-feature beat tracking. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 22(4), 816 - 825 . Abstract
Chen, G., Wang T. - G., Gong L., & Herrera P. (2010).  Multi-Class Support Vector Machine Active Learning for Music Annotation. International Journal of Innovative Computing, Information and Control. 921-930. Abstract
Herrera, P., Celma Ò., Massaguer J., Cano P., Gómez E., Gouyon F., et al. (2005).  Mucosa a music content semantic annotator. 6th International Conference on Music Information Retrieval (2005). Abstract
Bogdanov, D., Won M., Tovstogan P., Porter A., & Serra X. (2019).  The MTG-Jamendo Dataset for Automatic Music Tagging. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019). Abstract
Karakurt, A., Şentürk S., & Serra X. (2016).  MORTY: A Toolbox for Mode Recognition and Tonic Identification. 3rd International Digital Libraries for Musicology Workshop (DLfM 2016). 9-16. 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).