Molecular epidemiological analysis to assess the influence of pet-ownership in the biodiversity of Staphylococcus aureus and MRSA in dog- and non-dog-owning healthy households

Autor: VAN BALEN, J. C., LANDERS, T., NUTT, E., DENT, A., HOET, A. E.

Publikováno v: Epidemiology and Infection, 2017 Apr 01. 145(6), 1135-1147.

Externí odkaz: https://www.jstor.org/stable/26521183

Genetic Variation in the Timing of Reproduction in the Great Tit

Autor: van Noordwijk, A. J., van Balen, J. H., Scharloo, W.

Publikováno v: Oecologia, 1981 Jan 01. 49(2), 158-166.

Externí odkaz: https://www.jstor.org/stable/4216363

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Designing Games with a Purpose for Data Collection in Music Research. Emotify and Hooked

Autor: Aljanaki, A., Bountouridis, D., Burgoyne, J.A., Van Balen, J., Wiering, F., Honing, H., Veltkamp, R., De Gloria, A.

Publikováno v: Games and Learning Alliance: Second International Conference, GALA 2013, Paris, France, October 23-25, 2013 : revised selected papers, 29-40
STARTPAGE=29;ENDPAGE=40;TITLE=Games and Learning Alliance
Lecture Notes in Computer Science ISBN: 9783319121567
GALA

Collecting ground truth data for music research requires large amounts of time and money. To avoid these costs, researchers are now trying to collect information through online multiplayer games with the underlying purpose of collecting scientific da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b33e04441eb881de86f88fc619230046
https://doi.org/10.1007/978-3-319-12157-4_3

Corpus Analysis Tools for Computational Hook Discovery

Autor: Van Balen, J., Burgoyne, J.A., Bountouridis, D., Müllensiefen, D., Veltkamp, R.C., Müller, M., Wiering, F.

Publikováno v: Proceedings of the 16th International Society for Music Information Retrieval (ISMIR) Conference 2014
ISMIR 2015: Proceedings of the 16th International Society for Music Information Retrieval Conference : October 26-30, 2015, Málaga, Spain, 227-233
STARTPAGE=227;ENDPAGE=233;TITLE=ISMIR 2015

Compared to studies with symbolic music data, advances in music description from audio have overwhelmingly focused on ground truth reconstruction and maximizing prediction accuracy, with only a small fraction of studies using audio description to gai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fbd09d8189e6fda00f48a050e2b0ce6
https://doi.org/10.5281/zenodo.1415038