Expertise Representation Learning is a computational methodology that systematically acquires and models latent indicators of specialized knowledge and skill from multimodal evidence to enable machine-tractable understanding of individual or collective competencies within academic, professional, or organizational contexts.
17
Publications
1.1K
Citations
54
Authors
32
Institutions
Publications per year
2017–2026
8
Parents
Publications
17
1–5 of 17
Authors
54
- EB
3
h-index
- MK
3
h-index
- JS
3
h-index
- RH
3
h-index
- HF
2
h-index
1–5 of 54
Institutions
32
Toronto Metropolitan University
Toronto, Canada
3 h-index
9 publications
243 citations
University of Windsor
Windsor, Canada
2 h-index
2 publications
57 citations
Ontario Tech University
Oshawa, Canada
2 h-index
2 publications
45 citations
Computer Research Institute of Montréal
Montreal, Canada
1 h-index
2 publications
134 citations
Wuhan Science and Technology Bureau
Wuhan, China
1 h-index
1 publications
45 citations
Keio University
Tokyo, Japan
1 h-index
1 publications
105 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
2 publications
46 citations
University of Chicago
Chicago, United States
1 h-index
1 publications
520 citations
1–8 of 32
Venues
- User Modeling and User-Adapted Interaction
1 publications · 67 citations
1
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- Phenomenology and the Cognitive Sciences
1 publications · 27 citations
1
h-index
- International Journal of Artificial Intelligence in Education
1 publications · 17 citations
1
h-index
- Information Processing & Management
1 publications · 20 citations
1
h-index
- ACM Transactions on Information Systems
1 publications · 36 citations
1
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1–5