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Imputation of Sensory Properties Using Deep Learning

2021-06-17

Abstract excerpt

<title>Abstract</title> <p>Predicting the sensory properties of compounds is challenging, due to the subjective nature of the experimental measurements, which rely on a panel of human participants and are therefore also expensive and time-consuming. We describe the application of a state-of-the-art deep learning method, Alchemite™, to the imputation of sparse physicochemical and sensory data and compare the resul...

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Literature Corpus work
1ff78ab7-8a7b-5543-ac26-383f0ca41337
DOI
10.21203/rs.3.rs-617132/v1
Open publication

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Imputation of Sensory Properties Using Deep LearningDOI 10.21203/rs.3.rs-617132/v1
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