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Michel Visalli

Researcher at Centre national de la recherche scientifique

Publications -  57
Citations -  913

Michel Visalli is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Perception & Computer science. The author has an hindex of 12, co-authored 39 publications receiving 629 citations. Previous affiliations of Michel Visalli include University of Burgundy & Institut national de la recherche agronomique.

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Temporal dominance of emotions: Measuring dynamics of food-related emotions during consumption

TL;DR: In this paper, the authors used TDS to determine dynamic sensory properties of dark chocolates providing a list of 10 sensory attributes and compared them with 10 emotional attributes, and found significant differences between products based on the dominance duration of sensory.
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Temporal Drivers of Liking

TL;DR: In this article, a new concept of positive or negative temporal drivers of liking (TDL) is proposed to compute individual average liking scores while a given attribute was perceived as dominant (LWD) and to average those LWD values over the subject for extracting the TDLs of a specific product or of a group of products.
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Maternal feeding practices during the first year and their impact on infants’ acceptance of complementary food

TL;DR: New food acceptance was significantly correlated with the number of different foods offered in the first two months of weaning, particularly for fruits and vegetables, and the ease of introducing new foods into a child’s diet in the period between 4 and 15 months is highlighted.
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Creation of a food taste database using an in-home “taste” profile method

TL;DR: In this paper, the authors created a food "taste" database using an innovative in-home profile method, which consisted in an intensive training in laboratory (55h, 5 months) immediately followed by an in- home measurements phase (8 months) during which 12 trained panelists had to evaluate the five tastes and fat sensation of the foods they typically consumed.
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Advances in representation and analysis of mono and multi-intake Temporal Dominance of Sensations data

TL;DR: A new graphical tool for representing the sequentiality of (multi-intake) TDS data and a new inferential approach to data analysis based on duration of dominance are proposed.