Deep learning in electron microscopy

JM Ede - Machine Learning: Science and Technology, 2021 - iopscience.iop.org
Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

A survey on skill identification from online job ads

I Khaouja, I Kassou, M Ghogho - IEEE Access, 2021 - ieeexplore.ieee.org
A changing job market, influenced by different factors such as globalization and
demographic growth, urges close monitoring. The digitization of the job market has given the …

SkillSpan: Hard and soft skill extraction from English job postings

M Zhang, KN Jensen, SD Sonniks, B Plank - arXiv preprint arXiv …, 2022 - arxiv.org
Skill Extraction (SE) is an important and widely-studied task useful to gain insights into labor
market dynamics. However, there is a lacuna of datasets and annotation guidelines; …

Data science for job market analysis: A survey on applications and techniques

I Rahhal, I Kassou, M Ghogho - Expert Systems with Applications, 2024 - Elsevier
The job market is evolving continuously due to changes in economic landscapes,
technological improvements, and skill requirements. In the era of digitalization, a wealth of …

Talent demand-supply joint prediction with dynamic heterogeneous graph enhanced meta-learning

Z Guo, H Liu, L Zhang, Q Zhang, H Zhu… - Proceedings of the 28th …, 2022 - dl.acm.org
Talent demand and supply forecasting aims to model the variation of the labor market, which
is crucial to companies for recruitment strategy adjustment and to job seekers for proactive …

[PDF][PDF] Pre-dygae: Pre-training enhanced dynamic graph autoencoder for occupational skill demand forecasting

X Chen, C Qin, Z Wang, Y Cheng, C Wang… - Proceedings of the 33th …, 2024 - ijcai.org
Occupational skill demand (OSD) forecasting seeks to predict dynamic skill demand specific
to occupations, beneficial for employees and employers to grasp occupational nature and …

Using LinkedIn endorsements to reinforce an ontology and machine learning-based recommender system to improve professional Skills

MC Urdaneta-Ponte, I Oleagordia-Ruiz… - Electronics, 2022 - mdpi.com
Nowadays, social networks have become highly relevant in the professional field, in terms of
the possibility of sharing profiles, skills and jobs. LinkedIn has become the social network …

Data-driven deep journalism to discover age dynamics in multi-generational labour markets from LinkedIn media

AA Alaql, F AlQurashi, R Mehmood - Journalism and Media, 2023 - mdpi.com
We live in the information age and, ironically, meeting the core function of journalism—ie, to
provide people with access to unbiased information—has never been more difficult. This …

Salience and market-aware skill extraction for job targeting

B Shi, J Yang, F Guo, Q He - Proceedings of the 26th ACM SIGKDD …, 2020 - dl.acm.org
At LinkedIn, we want to create economic opportunity for everyone in the global workforce. To
make this happen, LinkedIn offers a reactive Job Search system, and a proactive Jobs You …

Comparison of real-time and batch job recommendations

R Kwieciński, G Melniczak, T Górecki - Ieee Access, 2023 - ieeexplore.ieee.org
Collaborative filtering recommendation systems are traditionally trained in a batch manner
and are designed to produce personalized recommendations for a large number of users at …