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 …
microscopy. This review paper offers a practical perspective aimed at developers with …
A survey on skill identification from online job ads
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 …
demographic growth, urges close monitoring. The digitization of the job market has given the …
SkillSpan: Hard and soft skill extraction from English job postings
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; …
market dynamics. However, there is a lacuna of datasets and annotation guidelines; …
Data science for job market analysis: A survey on applications and techniques
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 …
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
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 …
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
Occupational skill demand (OSD) forecasting seeks to predict dynamic skill demand specific
to occupations, beneficial for employees and employers to grasp occupational nature and …
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 …
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
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 …
provide people with access to unbiased information—has never been more difficult. This …
Salience and market-aware skill extraction for job targeting
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 …
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 …
and are designed to produce personalized recommendations for a large number of users at …