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~isPartOf:"Journal of empirical finance"
~isPartOf:"Management science : journal of the Institute for Operations Research and the Management Sciences"
~isPartOf:"Personnel psychology : a journal of applied research"
~subject:"Innovation"
~subject:"Künstliche Intelligenz"
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4
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3
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3
selection-methods
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selection-validation
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Journal of empirical finance
Management science : journal of the Institute for Operations Research and the Management Sciences
Personnel psychology : a journal of applied research
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ECONIS (ZBW)
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1
Machine learning applications to personnel selection : current illustrations, lessons learned, and future research
Campion, Michael A.
;
Campion, Emily D.
- In:
Personnel psychology : a journal of applied research
76
(
2023
)
4
,
pp. 993-1009
Persistent link: https://www.econbiz.de/10014437551
Saved in:
2
Improving measurement and prediction in personnel selection through the application of machine learning
Koenig, Nick
;
Tonidandel, Scott
;
Thompson, Isaac
; …
- In:
Personnel psychology : a journal of applied research
76
(
2023
)
4
,
pp. 1061-1123
Persistent link: https://www.econbiz.de/10014437573
Saved in:
3
Machine learning loss given default for corporate debt
Olson, Luke M.
;
Qi, Min
;
Zhang, Xiaofei
;
Zhao, Xinlei
- In:
Journal of empirical finance
64
(
2021
),
pp. 144-159
Persistent link: https://www.econbiz.de/10013259408
Saved in:
4
Dynamic quality ladder model predictions in nonrandom holdout samples
Xu, Linli
;
Silva-Risso, Jorge M.
;
Wilbur, Kenneth C.
- In:
Management science : journal of the Institute for …
64
(
2018
)
7
,
pp. 3187-3207
Persistent link: https://www.econbiz.de/10011899745
Saved in:
5
Machine learning and portfolio optimization
Ban, Gah-Yi
;
El Karoui, Noureddine
;
Lim, Andrew E. B.
- In:
Management science : journal of the Institute for …
64
(
2018
)
3
,
pp. 1136-1154
Persistent link: https://www.econbiz.de/10011847178
Saved in:
6
On styles in product design : an analysis of U.S. design patents
Chan, Tian Heong
;
Mihm, Jürgen
;
Sosa, Manuel E.
- In:
Management science : journal of the Institute for …
64
(
2018
)
3
,
pp. 1230-1249
Persistent link: https://www.econbiz.de/10011847216
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