Quality Scoring Models
Quality Scoring Models is a computational framework that belongs to the class of predictive modeling techniques and is specifically distinguished by its purpose of quantifying wine quality through systematic integration of physicochemical properties and sensory descriptors.
52
Publications
2.1K
Citations
191
Authors
87
Institutions
Publications per year
2017–2026
20
Parents
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Large-Scale Study of Perceptual Video Quality
Zeina Sinno, Alan C. Bovik · IEEE Transactions on Image Processing · 2018 · 297 citations · Full text
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Summerland Research and Development Centre
Summerland, Canada
2 h-index
5 publications
118 citations
Australian Wine Research Institute
Adelaide, Australia
2 h-index
6 publications
324 citations

University of British Columbia
Vancouver, Canada
2 h-index
5 publications
171 citations
Agriculture and Agri-Food Canada
Ottawa, Canada
2 h-index
5 publications
118 citations
University of California, Davis
Davis, United States
2 h-index
6 publications
296 citations

Stellenbosch University
Stellenbosch, South Africa
2 h-index
5 publications
60 citations
University of California, Santa Cruz
Santa Cruz, United States
1 h-index
1 publications
49 citations
Servicio Regional de Investigación y Desarrollo Agroalimentario
Villaviciosa, Spain
1 h-index
4 publications
348 citations
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3 publications · 119 citations
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3 publications · 57 citations
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2 publications · 97 citations
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2 publications · 55 citations
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2 publications · 51 citations
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