David Martens

ZAP
Room: B.503
Tel: +32 32654069
Email: david.martens@uantwerpen.be
Research Topic: Predictive data mining for marketing and finance.

List of publications

  • D. Herremans, K. Sörensen, and D. Martens, "Classification and generation of composer-specific music using global feature models and variable neighborhood search," Computer music journal, vol. to appear, 2015.
    [DOI] [Bibtex] 
    @article{herremans2015classification,
title = {Classification and generation of composer-specific music using global feature models and variable neighborhood search},
author = {Herremans, Dorien and Sörensen, Kenneth and Martens, David},
journal = {Computer Music Journal},
volume = {to appear},
year = {2015},
doi = {10.1162/COMJ_a_00316},
publisher = {MIT Press Journals},
keywords = {music and OR},
}
  • D. Herremans, D. Martens, and K. Sörensen, "Dance hit song prediction," Journal of new music research, vol. 43, iss. 3, pp. 291-302, 2014.
    [PDF] [DOI] [Bibtex] 
    @article{herremans2014dance,
title = {Dance hit song prediction},
author = {Herremans, Dorien and Martens, David and Sörensen, Kenneth},
journal = {Journal of New Music Research},
volume = {43},
number = {3},
pages = {291--302},
year = {2014},
doi = {10.1080/09298215.2014.881888},
publisher = {Taylor \& Francis},
keywords = {music and OR},
}

List of presentations

  • D. Herremans, D. Martens, and K. Sörensen, "Dance hit prediction," in ECML:european conference on machine learning, Prague, Check Republic, 2013.
    [PDF] [Bibtex] 
    @inproceedings{herremans2013dance_pres,
author = {Herremans, Dorien and Martens, David and Sörensen, Kenneth},
title = {Dance hit prediction},
booktitle = {{ECML}:European Conference on Machine Learning},
year = {2013},
address = {Prague, Check Republic},
keywords = {music and OR},
}