Adaptive Generative Systems
Adaptive Generative Systems is a class of generative systems that dynamically modifies its internal parameters or structure in response to input conditions, user interactions, or environmental feedback to improve output quality, relevance, or functionality over time.
11
Publications
468
Citations
41
Authors
18
Institutions
Publications per year
2017–2026
6
11
Adaptive Discriminative Generative Model and Its Applications
Ruei-Sung Lin, David A. Ross, Jongwoo Lim et al. · 2004 · 81 citations
Colour adaptive generative networks for stain normalisation of histopathology images
Cong Cong, Sidong Liu, Antonio Di Ieva et al. · Medical Image Analysis · 2022 · 53 citations · Full text
1–5 of 11
41
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1
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1
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Commonwealth Scientific and Industrial Research Organisation, Australia
1 publications · 53 citations
1
h-index
1
h-index
1–5 of 41
18

University of Toronto
Toronto, Canada
2 h-index
2 publications
98 citations

Sapienza University of Rome
Rome, Italy
1 h-index
6 publications
228 citations

Goldsmiths University of London
London, United Kingdom
1 h-index
3 publications
69 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
1 h-index
4 publications
68 citations

Donghua University
Shanghai, China
1 h-index
4 publications
556 citations
University of Hertfordshire
Hatfield, United Kingdom
1 h-index
1 publications
34 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
2 publications
162 citations

UNSW Sydney
Sydney, Australia
1 h-index
3 publications
159 citations
1–8 of 18
1 publications · 34 citations
1
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1 publications · 31 citations
1
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1 publications · 53 citations
1
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1 publications · 139 citations
1
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Conference · 1 publications · 17 citations
1
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1–5