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Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes and Laurent Risser
Automatic recommendation systems based on deep neural networks have become extremely popular during the last decade. Some of these systems can, however, be used in applications that are ranked as High Risk by the European Commission in the AI act?for ins...
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Laurent Risser, Agustin Martin Picard, Lucas Hervier and Jean-Michel Loubes
The problem of algorithmic bias in machine learning has recently gained a lot of attention due to its potentially strong impact on our societies. In much the same manner, algorithmic biases can alter industrial and safety-critical machine learning applic...
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Camille Champion, Anne-Claire Brunet, Rémy Burcelin, Jean-Michel Loubes and Laurent Risser
In this paper, we present a new framework dedicated to the robust detection of representative variables in high dimensional spaces with a potentially limited number of observations. Representative variables are selected by using an original regularizatio...
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Stella Capoccia, Michael Masters and Scott Risser
This research investigates the relationships between human knowledge, behavior and risk as they relate to urban chicken husbandry in the United States. Concern over zoonotic diseases has been on the rise, especially with increasing contact between birds ...
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P. Risser, E. Ebmeyer, V. Korzun, L. Hartl, and T. Miedaner
Pág. 1209 - 1216
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Jenny Rosenkvist, Ralf Risser, Susanne Iwarsson, Kerstin Wendel, Agneta Ståhl
This paper describes the findings of a study aiming to achieve deeper insight into reasons people with cognitive functional limitations cease to use public transport. Semi-structured interviews in combination with a qualitative content analysis were perf...
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B. Denoyes-Rothan, G. Guérin, E. Lerceteau-Köhler, and G. Risser.
Pág. 405 - 412
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Robert, F.; Risser, G.; Pétel, G.
Pág. 217 - 226
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