Data Fusion For Authentication
Data Fusion for Authentication is a methodological framework that integrates heterogeneous data from multiple sources or analytical techniques to enhance the accuracy and reliability of determining the geographical origin of a product by leveraging complementary information across modalities.
55
Publications
2.1K
Citations
178
Authors
90
Institutions
Publications per year
2017–2026
15
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1–5 of 55
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National Institute of Advanced Industrial Science and Technology, Japan
2 publications · 22 citations
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1–5 of 178
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University of Cagliari
Cagliari, Italy
3 h-index
6 publications
275 citations
Idiap Research Institute
Martigny-Combe, Switzerland
3 h-index
4 publications
276 citations
Yonsei University
Seoul, South Korea
2 h-index
2 publications
52 citations

Universidad Autónoma de Madrid
Madrid, Spain
2 h-index
7 publications
187 citations

Carleton University
Ottawa, Canada
2 h-index
6 publications
384 citations

University of Twente
Enschede, The Netherlands
2 h-index
3 publications
141 citations

Universidad de Granada
Granada, Spain
2 h-index
6 publications
192 citations

University of Sassari
Sassari, Italy
2 h-index
2 publications
93 citations
1–8 of 90
4 publications · 116 citations
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2 publications · 62 citations
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2 publications · 179 citations
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2 publications · 74 citations
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Repository · 2 publications · 58 citations
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