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AERFAI Summer School on Deep Learning

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Alicante July 5-6, 2017

10th international workshop on Machine Learning and Music

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Barcelona: 6th October 2017

Pertusa Ibáñez, Antonio Jorge

Contratado Doctor

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In this page: contact : research : publications : links

No foto available
Contact:
  Department of Software and Computing Systems.
  University of Alicante.
  E-03080 Alicante.
  Spain

  E-mail:    pertusa at dlsi.ua.es
  Telephone: +34 96 5903400 ext. 2972

Other pages: Teaching, Personal

Research:

Curriculum Vitae:not available yet

Research Interests:Signal processing and machine learning techniques (mainly deep learning) applied to computer vision and music information retrieval tasks.

Projects:

Publications:
Search pubs:

Select a year : all : 2017 : 2016 : 2013 : 2012 : 2011 : 2010 : 2009 : 2008 : 2007 : [2006] : 2005 : 2004 : 2003

  1. Hazan A., Ramirez R., Maestre E., Pérez A., Pertusa A.
    "Modelling expressive performance: a regression tree approach based on strongly typed genetic programming"
    LNCS. Applications of Evolutionary Computing: EvoWorkshops, vol. 3907, pp. 676-687 (2006)
    : bibtex : pdf link
  2. Rizo D., Ponce de León P. J., Pérez-Sancho C., Pertusa A., Iñesta J. M.
    "A Pattern Recognition Approach for Melody Track Selection in MIDI Files"
    Proc. of the 7th Int. Symp. on Music Information Retrieval ISMIR 2006, ISBN: 1-55058-349-2, pp. 61-66, Victoria, Canada (2006)
    : bibtex : more info : pdf link
  3. Rizo D., Ponce de León P.J., Pertusa A., Pérez-Sancho C., Iñesta J.M.
    "Melody track identification in music symbolic files"
    Proc. of the 19th Int. FLAIRS Conference, ISBN: 978-1-57735-261-7 (2006)
    : bibtex : pdf : more info
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