Biblio

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Bogdanov, D., Serrà J., Wack N., Herrera P., & Serra X. (2011).  Unifying Low-level and High-level Music Similarity Measures. IEEE Transactions on Multimedia. 13(4), 687-701 . Abstract
Won, M. (2017).  Understanding Internal Semantics of Deep Learning Models for Electronic Music. Abstract
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Kim, J., Won M., Serra X., & Liem C. C. S. (2018).  Transfer Learning of Artist Group Factors to Musical Genre Classification. WWW ’18 The Web Conference 2018. Abstract
Dixon, S., Gouyon F., & Widmer G. (2004).  Towards Characterisation of Music via Rhythmic Patterns. Abstract
Şentürk, S., Ferraro A., Porter A., & Serra X. (2015).  A Tool for The Analysis and Discovery of Ottoman-Turkish Makam Music. (Müller, Meinard, Wiering, Frans, Ed.).Extended abstracts for the Late Breaking Demo Session of the 16th International Society for Music Information Retrieval (ISMIR) Conference. Abstract
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Herrera, P., Bello J. P., Widmer G., Sandler M., Celma Ò., Vignoli F., et al. (2005).  SIMAC Semantic interaction with music audio contents. 2nd European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies. Abstract
Cano, P., Koppenberger M., Le Groux S., Ricard J., & Wack N. (2004).  Semantic and Perceptual Management of Sound Effects in Production Systems. Abstract
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Serra, X., Widmer G., & Leman M. (2007).  A Roadmap for Sound and Music Computing. (The S2S Consortium, Ed.). Abstract
Serra, X., Magas M., Benetos E., Chudy M., Dixon S., Flexer A., et al. (2013).  Roadmap for Music Information ReSearch. Abstract
application/pdf iconMIRES-Roadmap.pdf
Chen, G., Wang T. - G., & Herrera P. (2008).  Relevance Feedback in An Adaptive Space with One-Class SVM for Content-Based Music Retrieval. IEEE International Conference on Audio, Language and Image Processing 2008. Abstract
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Gómez, E., Grachten M., Hanjalic A., Janer J., Jordà S., Julià C. F., et al. (2013).  PHENICX: Performances as Highly Enriched aNd Interactive Concert Experiences. SMAC Stockholm Music Acoustics Conference 2013, SMC Sound and Music Computing Conference 2013.
application/pdf iconPHENICX-smac2013-6.0.pdf
Wright, M., Dannenberg R., Pope S., Rodet X., Serra X., & Wessel D. (2004).  Panel: Standards from the Computer Music Community. International Computer Music Conference. 711-714. Abstract
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Gouyon, F., Wack N., & Dixon S. (2004).  An open source tool for semi-automatic rhythmic annotation. Abstract
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Chen, G., Wang T. - G., & Herrera P. (2008).  A Novel Music Retrieval System with Relevance Feedback. Third International Conference on Innovative Computing, Information and Control. Abstract
Wright, M., Chaudhary A., Freed A., Wessel D., Rodet X., Woehrmann R., et al. (1998).  New Applications of the Sound Description Interchange Format. International Computer Music Conference. Abstract
Jensenius, A., Camurri A., Castagné N., Maestre E., Malloch J., McGilvray D., et al. (2007).  The need of formats for streaming and storing music-related movement and gesture data. Abstract
Cano, P., Koppenberger M., Le Groux S., Ricard J., Herrera P., & Wack N. (2004).  Nearest-neighbor generic sound classification with a wordnet-based taxonomy. Abstract
Cano, P., Koppenberger M., Le Groux S., Ricard J., Wack N., & Herrera P. (2005).  Nearest-Neighbor Automatic Sound Classification with a WordNet Taxonomy. Journal of Intelligent Information Systems. 24, 99-111. Abstract
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Wack, N., Guaus E., Laurier C., Meyers O., Marxer R., Bogdanov D., et al. (2009).  Music type groupers (MTG): generic music classification algorithms. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
Wang, T. - G., Chen G., & Herrera P. (2009).  Music Retrieval based on a Multi-Samples Selection Strategy for Support Vector Machine Active Learning. 24th Annual ACM Symposium on Applied Computing. Abstract
Wack, N., Laurier C., Meyers O., Marxer R., Bogdanov D., Serrà J., et al. (2010).  Music classification using high-level models. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
application/pdf iconWLB1.pdf
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
Cano, P., Koppenberger M., Ferradans S., Martinez A., Gouyon F., Sandvold V., et al. (2004).  MTG-DB A Repository for Music Audio Processing. Abstract
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