Julián Urbano, Harlley De Lima, Alan Hanjalic (2019), A New Perspective on Score Standardization, In SIGIR'19 Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval p.1061-1064 , ACM DL.

Jaehun Kim, Julián Urbano, Cynthia C.S. Liem, Alan Hanjalic (2019), Are Nearby Neighbors Relatives?: Testing Deep Music Embeddings, In Frontiers in Applied Mathematics an Statistics Volume 5 p.1-17.

Alvaro Sarasua, Julián Urbano, Emilia Gómez (2019), Mapping by Observation: Building a User-Tailored Conducting System From Spontaneous Movements, In Frontiers in Digital Humanities Volume 6 p.1-19.

Jaehun Kim, Julián Urbano, Cynthia C.S. Liem, Alan Hanjalic (2019), One deep music representation to rule them all? A comparative analysis of different representation learning strategies, In Neural Computing and Applications p.1-27.

Arthur Flexer, Geoffroy Peeters, Julián Urbano, Anja Volk (Eds.) (2019), Proceedings of the 20th International Society for Music Information Retrieval Conference, International Society for Music Information Retrieval (ISMIR).

Julián Urbano, Harlley De Lima, Alan Hanjalic (2019), Statistical Significance Testing in Information Retrieval: An Empirical Analysis of Type I, Type II and Type III Errors, In SIGIR'19 Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval p.505-514, ACM DL.

Dmitry Bogdanov, Alastair Porter, Hendrik Schreiber, Julián Urbano, Sergio Oramas (2019), THE ACOUSTICBRAINZ GENRE DATASET: MULTI-SOURCE, MULTI-LEVEL, MULTI-LABEL, AND LARGE-SCALE, In International Society for Music Information Retrieval Conference 2019 p.360-367.

Dmitry Bogdanov, Alastair Porter, Hendrik Schreiber, Julián Urbano, Sergio Oramas (2019), The AcousticBrainz Genre Dataset: Music Genre Recognition with Annotations from Multiple Sources, In International Society for Music Information Retrieval Conference p.360-367.

Kevin Roitero, Andrea Brunello, Julián Urbano, Stefano Mizzaro (2019), Towards stochastic simulations of relevance profiles, In CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management p.2217-2220, Association for Computing Machinery (ACM).

M. Marrero, J. Urbano (2018), A Semi-Automatic and Low-Cost Method to Learn Patterns for Named Entity Recognition, In Natural Language Engineering p.39-75.