Transfer Learning Across Environments
Transfer Learning Across Environments is a genomic selection methodology that leverages genetic and environmental data from multiple contexts to improve prediction accuracy in target environments by transferring knowledge from related but distinct environments through shared genomic patterns.
8
Publications
534
Citations
41
Authors
27
Institutions
Publications per year
2017–2026
6
8
1–5 of 8
41
1
h-index
1
h-index
Pontifícia Universidade Católica do Rio de Janeiro, Brazil
1 publications · 62 citations
1
h-index
1
h-index
1
h-index
1–5 of 41
27

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
3 publications
241 citations
Huawei Technologies (China)
Shenzhen, China
1 h-index
2 publications
46 citations
New Jersey Institute of Technology
Newark, United States
1 h-index
1 publications
61 citations

Guilin University of Electronic Technology
Guilin, China
1 h-index
1 publications
107 citations

Delft University of Technology
Delft, The Netherlands
1 h-index
1 publications
23 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
23 citations
University of Colorado Boulder
Boulder, United States
1 h-index
2 publications
24 citations
Georgia Tech Research Institute
Atlanta, United States
1 h-index
1 publications
32 citations
1–8 of 27
TSE · 1 publications · 62 citations
1
h-index
1 publications · 61 citations
1
h-index
MSSP · 1 publications · 170 citations
1
h-index
TMCCI · 1 publications · 23 citations
1
h-index
1 publications · 107 citations
1
h-index
1–5