Psychology meets machine learning: Interdiscplinary perspectives on algorithmic job candidate screening

CCS Liem, M Langer, A Demetriou, Annemarie Hiemstra, A Sukma Wicaksana, Marise Born, CJ Koenig

Research output: Chapter/Conference proceeding › Chapter › Academic

Original language	English
Title of host publication	The Springer Series on Challenges in Machine Learning
Editors	H.J. Escalante, I. Guyon, S. Escalera
Place of Publication	Switzerland
Publisher	Springer Nature
Pages	197-253
Number of pages	57
DOIs	https://doi.org/10.1007/978-3-319-98131-4_9
Publication status	Published - 2018

Research programs

Liem, CCS., Langer, M., Demetriou, A., Hiemstra, A., Sukma Wicaksana, A., Born, M., & Koenig, CJ. (2018). Psychology meets machine learning: Interdiscplinary perspectives on algorithmic job candidate screening. In H. J. Escalante, I. Guyon, & S. Escalera (Eds.), The Springer Series on Challenges in Machine Learning (pp. 197-253). Springer Nature. https://doi.org/10.1007/978-3-319-98131-4_9

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Liem, CCS, Langer, M, Demetriou, A, Hiemstra, A, Sukma Wicaksana, A, Born, M & Koenig, CJ 2018, Psychology meets machine learning: Interdiscplinary perspectives on algorithmic job candidate screening. in HJ Escalante, I Guyon & S Escalera (eds), The Springer Series on Challenges in Machine Learning. Springer Nature, Switzerland, pp. 197-253. https://doi.org/10.1007/978-3-319-98131-4_9

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T1 - Psychology meets machine learning: Interdiscplinary perspectives on algorithmic job candidate screening

AU - Liem, CCS

AU - Langer, M

AU - Demetriou, A

AU - Hiemstra, Annemarie

AU - Sukma Wicaksana, A

AU - Born, Marise

AU - Koenig, CJ

PY - 2018

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EP - 253

BT - The Springer Series on Challenges in Machine Learning

A2 - Escalante, H.J.

A2 - Guyon, I.

A2 - Escalera, S.

PB - Springer Nature

CY - Switzerland

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