Biblio

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2017
Espinosa-Anke, L., Oramas S., Saggion H., & Serra X. (2017).  ELMDist: A vector space model with words and MusicBrainz entities. Workshop on Semantic Deep Learning (SemDeep), collocated with ESWC 2017.
Oramas, S., Nieto O., Sordo M., & Serra X. (2017).  A Deep Multimodal Approach for Cold-start Music Recommendation. 2nd Workshop on Deep Learning for Recommender Systems, at RecSys 2017. Abstract
Gong, R., Pons J., & Serra X. (2017).  Audio to Score Matching by Combining Phonetic and Duration Information. The 18th International Society for Music Information Retrieval Conference. Abstract
Caro Repetto, R., & Serra X. (2017).  A collection of music scores for corpus based jingju singing research. 18th International Society for Music Information Retrieval Conference. 46-52. Abstract
Srinivasamurthy, A., Holzapfel A., & Serra X. (2017).  Informed Automatic Meter Analysis of Music Recordings. 18th International Society for Music Information Retrieval (ISMIR) Conference. 679-685. 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
Bogdanov, D., & Serra X. (2017).  Quantifying music trends and facts using editorial metadata from the Discogs database. 18th International Society for Music Information Retrieval Conference (ISMIR 2017). 89-95. Abstract
Gong, R., & Serra X. (2017).  Identification of potential Music Information Retrieval technologies for computer-aided jingju singing training. The 5th China Conference on Sound and Music Technology - Chinese Traditional Music Technology Session. Abstract
Pons, J., & Serra X. (2017).  Designing Efficient Architectures for Modeling Temporal Features with Convolutional Neural Networks. 42th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017) . Abstract
Font, F., Roma G., & Serra X. (2017).  Sound Sharing and Retrieval. Computational Analysis of Sound Scenes and Events. Abstract
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