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pro vyhledávání: '"Hiemstra, Annemarie"'
Introduction to the Special Issue on Advanced Technologies in Assessment: A Science-Practice Concern
Autor:
König, Cornelius, Demetriou, Andrew, Glock, Philipp, Hiemstra, Annemarie, Iliescu, Dragos, Ionescu, Camelia, Langer, Markus, Liem, Cynthia, Linnenbürger, Anja, Siegel, Rudolf, Vartholomaios, Illias
Publikováno v:
Personnel Assessment and Decisions, Vol 6, Iss 1 (2020)
This article is based on conversations from the project “Big Data in Psychological Assessment” (BDPA) funded by the European Union, which was initiated because of the advances in data science and artificial intelligence that offer tremendous oppo
Externí odkaz:
https://doaj.org/article/18f052c3b1414b24a5d52930373e8982
Akademický článek
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Akademický článek
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Autor:
Lamoen, Pieter M.1 (AUTHOR) vanlamoen@essb.eur.nl, Hiemstra, Annemarie M. F.1 (AUTHOR), Meeuwisse, Marieke1 (AUTHOR), Arends, Lidia R.1,2 (AUTHOR), Severiens, Sabine E.1,3 (AUTHOR)
Publikováno v:
International Journal of Selection & Assessment. Oct2024, p1. 14p. 1 Illustration.
Autor:
Poteet, Mark info@alliancefororganizationalpsychology.com, Hiemstra, Annemarie info@alliancefororganizationalpsychology.com, Glazer, Sharon info@alliancefororganizationalpsychology.com, Michel, Alexandra info@alliancefororganizationalpsychology.com
Publikováno v:
TIP: The Industrial-Organizational Psychologist. Autumn2024, Vol. 62 Issue 2, p70-71. 2p.
Autor:
Marissen, Marlies A.E., Brouwer, Marlies E., Hiemstra, Annemarie M.F., Deen, Mathijs L., Franken, Ingmar H.A.
Publikováno v:
In Psychiatry Research 30 August 2016 242:28-33
Publikováno v:
Journal of Business Ethics, 2015 Sep 01. 130(3), 619-637.
Externí odkaz:
http://www.jstor.org/stable/24703527
Autor:
Hiemstra, Annemarie, Rus, DC (Diana)
Publikováno v:
EWOP In Practice, 16(1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::06104a45f8f305dd1b4e9d1a61d2c66b
https://pure.eur.nl/en/publications/7ac150c2-7b40-4e04-9787-6b15efc8ae76
https://pure.eur.nl/en/publications/7ac150c2-7b40-4e04-9787-6b15efc8ae76
Autor:
Koenig, CJ, Demetriou, AM, Glock, P, Iliescu, D, Hiemstra, Annemarie, Ionescu, C, Langer, M, Liem, CCS, Linnenburger, A, Siegel, R, Vartholomaios, I
Publikováno v:
Personnel Assessment and Decisions, 6(1):2, 17-23
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf84db2f5378881fe6a20457041419aa
Autor:
Liem, C.C.S., Langer, Markus, Demetriou, A.M., Hiemstra, Annemarie M.F., Achmadnoer Sukma Wicaksana, Sukma, Born, Marise Ph., König, Cornelis J., Jair Escalante, H., Escalera, S., Guyon, I., Baró, X., Güçlütürk, Y
Publikováno v:
Explainable and Interpretable Models in Computer Vision and Machine Learning
The Springer Series on Challenges in Machine Learning ISBN: 9783319981307
The Springer Series on Challenges in Machine Learning, 197-253
STARTPAGE=197;ENDPAGE=253;TITLE=The Springer Series on Challenges in Machine Learning
The Springer Series on Challenges in Machine Learning ISBN: 9783319981307
The Springer Series on Challenges in Machine Learning, 197-253
STARTPAGE=197;ENDPAGE=253;TITLE=The Springer Series on Challenges in Machine Learning
In a rapidly digitizing world, machine learning algorithms are increasingly employed in scenarios that directly impact humans. This also is seen in job candidate screening. Data-driven candidate assessment is gaining interest, due to high scalability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ce6b69f38b86ed313eb5232dc93916c