Jeroen Van Hautte

Journal Article
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open access

Efficient text encoders for labor market analysis

Jens-Joris Decorte (UGent) , Jeroen Van Hautte, Chris Develder (UGent) and Thomas Demeester (UGent)

(2025) IEEE ACCESS. 13. p.133596-133608

Conference Paper
C1
open access

Career path prediction using resume representation learning and skill-based matching

Jens-Joris Decorte (UGent) , Jeroen Van Hautte, Johannes Deleu (UGent) , Chris Develder (UGent) and Thomas Demeester (UGent)

(2023) RECSYS in HR 2023 : the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023), Proceedings. In CEUR workshop proceedings 3490.

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Conference Paper
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open access

Extreme multi-label skill extraction training using large language models

Jens-Joris Decorte (UGent) , Severine Verlinden, Jeroen Van Hautte, Johannes Deleu (UGent) , Chris Develder (UGent) and Thomas Demeester (UGent)

(2023) AI4HR & PES 2023 : International Workshop on AI for Human Resources and Public Employment Services, Proceedings. p.1-10

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Conference Paper
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open access

Design of negative sampling strategies for distantly supervised skill extraction

Jens-Joris Decorte (UGent) , Jeroen Van Hautte, Johannes Deleu (UGent) , Chris Develder (UGent) and Thomas Demeester (UGent)

(2022) Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022). In CEUR workshop proceedings 3218.

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Conference Paper
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open access

JobBERT : understanding job titles through skills

Jens-Joris Decorte (UGent) , Jeroen Van Hautte, Thomas Demeester (UGent) and Chris Develder (UGent)

(2021) FEAST, ECML-PKDD 2021 Workshop, Proceedings.

Academic Bibliography

Jeroen Van Hautte

Efficient text encoders for labor market analysis

Career path prediction using resume representation learning and skill-based matching

Extreme multi-label skill extraction training using large language models

Design of negative sampling strategies for distantly supervised skill extraction

JobBERT : understanding job titles through skills

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