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pro vyhledávání: '"Renoux, Jennifer"'
Autor:
Hrckova, Andrea, Renoux, Jennifer, Calasanz, Rafael Tolosana, Chuda, Daniela, Tamajka, Martin, Simko, Jakub
With the goal of uncovering the challenges faced by European AI students during their research endeavors, we surveyed 28 AI doctoral candidates from 13 European countries. The outcomes underscore challenges in three key areas: (1) the findability and
Externí odkaz:
http://arxiv.org/abs/2408.06847
Autor:
Renoux, Jennifer
Les protéines isolées végétales sont une source renouvelable de matière première, disponible en grande quantité. Malgré des propriétés mécaniques faibles par rapport aux polymères traditionnels, elles possèdent d’autres spécificités
Externí odkaz:
http://www.theses.fr/2018MTLD0007
Context-aware reasoning systems allow drawing sophisticated inferences about users' behaviour and physiological condition, by aggregating data from seemingly unrelated sources. We conducted a general population online survey to evaluate users' concer
Externí odkaz:
http://arxiv.org/abs/2007.01561
Publikováno v:
European Conference on Ambient Intelligence (pp. 74-89). Springer, Cham, 2018
Smart home environments equipped with distributed sensor networks are capable of helping people by providing services related to health, emergency detection or daily routine management. A backbone to these systems relies often on the system's ability
Externí odkaz:
http://arxiv.org/abs/2003.06347
Autor:
Luperto, Matteo, Monroy, Javier, Moreno, Francisco-Angel, Lunardini, Francesca, Renoux, Jennifer, Krpic, Andrej, Galindo, Cipriano, Ferrante, Simona, Basilico, Nicola, Gonzalez-Jimenez, Javier, Borghese, N. Alberto
Publikováno v:
In Robotics and Autonomous Systems March 2023 161
Autor:
VEIGA, TIAGO1 tiago.veiga@ntnu.no, RENOUX, JENNIFER2 jennifer.renoux@oru.se
Publikováno v:
ACM Computing Surveys. 2023 Suppl13s, Vol. 55, p1-22. 22p. 1 Illustration.
Autor:
Santos Veiga, Tiago, Renoux, Jennifer
Publikováno v:
ACM Computing Surveys
In traditional decision-theoretic planning, information gathering is a means to a goal. The agent receives information about its environment (state or observation) and uses it as a way to optimize a state-based reward function. Recent works, however,
Akademický článek
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Autor:
Luperto, Matteo, Monroy, Javier, Renoux, Jennifer, Lunardini, Francesca, Basilico, Nicola, Bulgheroni, Maria, Cangelosi, Angelo, Cesari, Matteo, Cid, Manuel, Ianes, Aladar, Gonzalez-Jimenez, Javier, Kounoudes, Anastasis, Mari, David, Prisacariu, Victor, Savanovic, Arso, Ferrante, Simona, Borghese, N. Alberto
Publikováno v:
International Journal of Social Robotics; Mar2023, Vol. 15 Issue 3, p517-545, 29p