Zobrazeno 1 - 10
of 24
pro vyhledávání: '"job candidate"'
Autor:
Jarosław Kurek, Tomasz Latkowski, Michał Bukowski, Bartosz Świderski, Mateusz Łępicki, Grzegorz Baranik, Bogusz Nowak, Robert Zakowicz, Łukasz Dobrakowski
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2601 (2024)
In the evolving realities of recruitment, the precision of job–candidate matching is crucial. This study explores the application of Zero-Shot Recommendation AI Models to enhance this matching process. Utilizing advanced pretrained models such as a
Externí odkaz:
https://doaj.org/article/dd45e5169e6b45afba115b7346a39c98
Autor:
Md Sajjad Hosain, Ping Liu
Publikováno v:
BizInfo, Vol 10, Iss 2, Pp 111-123 (2019)
The paper aims at identifying the role of social networking information on pre-employment background check practices with the help of existing literature. As the HR professionals are central in hiring process, they need to be aware of the practices a
Externí odkaz:
https://doaj.org/article/d8ad5e60ebed4789be092f6056e52d75
Akademický článek
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Akademický článek
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Autor:
Salim Sbaa, Hichem Telli, Miguel Bordallo López, Abdelmalik Taleb-Ahmed, Salah Eddine Bekhouche, Fadi Dornaika
Publikováno v:
Traitement du Signal
Traitement du Signal, 2021, 38 (3), pp.539-546. ⟨10.18280/ts.380301⟩
Traitement du Signal, Lavoisier, 2021, 38 (3), pp.539-546. ⟨10.18280/ts.380301⟩
Telli, H, Sbaa, S, Bekhouche, S E, Dornaika, F, Taleb-Ahmed, A & López, M B 2021, ' A novel multi-level pyramid Co-Variance operators for estimation of personality traits and job screening scores ', Traitement du Signal, vol. 38, no. 3, pp. 539-546 . https://doi.org/10.18280/ts.380301
Traitement du Signal, 2021, 38 (3), pp.539-546. ⟨10.18280/ts.380301⟩
Traitement du Signal, Lavoisier, 2021, 38 (3), pp.539-546. ⟨10.18280/ts.380301⟩
Telli, H, Sbaa, S, Bekhouche, S E, Dornaika, F, Taleb-Ahmed, A & López, M B 2021, ' A novel multi-level pyramid Co-Variance operators for estimation of personality traits and job screening scores ', Traitement du Signal, vol. 38, no. 3, pp. 539-546 . https://doi.org/10.18280/ts.380301
International audience; Recently, automatic personality analysis is becoming an interesting topic for computer vision. Many attempts have been proposed to solve this problem using time-based sequence information. In this paper, we present a new frame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::753d30067acacbdceeed04493fa70f14
https://hal.science/hal-03429752
https://hal.science/hal-03429752
Autor:
Ho, Jordan
Employment interviews are the most commonly used tool for job candidate evaluation (Macan, 2009), making it vital to gain a comprehensive understanding of their utility and psychometric properties. In particular, the validity of—or ability to make
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______453::73bff203793ac967863170f8d586aaa2
https://hdl.handle.net/10214/26567
https://hdl.handle.net/10214/26567
Autor:
Sajjad Hosain, Ping Liu
Publikováno v:
BizInfo, Vol 10, Iss 2, Pp 111-123 (2019)
The paper aims at identifying the role of social networking information on pre-employment background check practices with the help of existing literature. As the HR professionals are central in hiring process, they need to be aware of the practices a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d16b14258e056340c2481477b0e4b8c7
http://bizinfo.edu.rs/index.php/bizinfo/article/view/170
http://bizinfo.edu.rs/index.php/bizinfo/article/view/170
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
Akademický článek
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