Machine Learning In Food Processing Professors in Global

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Francisco Trujillo
University of New South Wales Australia
process modelling
advance food processing
innovative food processing technologies
food processing principles
mathematical modelling
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Sardar Ansari
University of Michigan Medical School United States of America
machine learning
image processing
signal processing
natural language processing
deep learning
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Remko Boom
Wageningen University & Research Netherlands
food processing
food engineering
food biotechnology
food bioprocess engineering
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Xiaohao Cai
University of Southampton United Kingdom
machine learning
data processing
image processing
signal processing
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Pierre Vandergheynst
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
mathematical data processing
image processing
signal processing
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Richard Love
Massey University New Zealand
food engineering
fruit and vegetable processing
food technology
food science
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Helene Thomsen
Aarhus University Denmark
machine learning
data processing
deep learning
prediction modeling
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Sanjeev Kulkarni
Princeton University United States of America
machine learning
image processing
signal processing
video processing
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Abdul Bais
University of Regina Canada
machine learning
image processing
signal processing
deep learning
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Ben Adcock
Simon Fraser University Canada
machine learning
image processing
signal processing
deep learning
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Reza Argha
University of New South Wales Australia
machine learning
image processing
signal processing
deep learning
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José Moura
Carnegie Mellon University United States of America
machine learning
signal processing
video processing
deep learning
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Christopher Manning
Stanford University United States of America
machine learning
multilingual language processing
natural language processing
deep learning
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Marie Berg
Technical University of Denmark Denmark
food processing
food technology
food science
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Phyllis Shand
University of Saskatchewan Canada
meat processing
value-added processing
quality processing
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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Jeff Bilmes
University of Washington United States of America
machine learning
language processing
signal processing
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Felipe Tobar
Imperial College London United Kingdom
machine learning
statistical machine learning
signal processing
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Jeff Bilmes
University of Washington United States of America
machine learning
language processing
signal processing
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Pietro Perona
California Institute of Technology United States of America
machine learning
machine vision
signal processing
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Pietro Perona
California Institute of Technology United States of America
machine learning
machine vision
signal processing
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