Protected: Fwd: [conseil.lifat] CR conseil LIFAT du 3/10/2019
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Read moreFwd: [conseil.lifat] La lettre de l’ANRT – Décryptage Europe & prospective – n°12 septembre 2019
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Read moreProtected: Méthode d’évaluation du coût des projets et presta (update 16/10/19)
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Read moreDes pistes pour réformer la recherche (Le Monde du 24/09)
En complément d’un précédent mail sur la loi de programmation pluriannuelle de la recherche Nicolas Ragot Des pistes pour réformer la
Read moreHow to make posters?
https://www.insidehighered.com/news/2019/06/24/theres-movement-better-scientific-posters-are-they-really-better
Read moreProtected: CR conseil LIFAT 29/08/19
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Read moreProtected: CR Team meeting (27/08/19)
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Time Series prediction with deep learning
Vanessa Haykal is in her third year of PhD in Computer Science and is interested in deep learning methods for
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Tracking with smart cameras
The project is to develop a tracking Algorithm based on a network of collaborative cameras.Object tracking is a complex task
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Feature learning for medical image segmentation
In his PhD, Taibou BIRGUI SEKOU is working on Feature learning for medical image segmentation. From dictionary to deep learning
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Approach for solving the graph-matching problem based on ant colony algorithm
The main goal of Kieu Diem’s PhD is to propose an approach for solving the graph-matching problem based on ant
Read moreRecommandations de l’OCDE sur le développement des systèmes d’IA
https://legalinstruments.oecd.org/fr/instruments/OECD-LEGAL-0449
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Structural Pattern Recognition (SPR) and Operations Research (OR)
SPR and OR combination is a recent research topic in the RFAI group. SPR is about developing techniques to recognize
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Simulation of self driving cars
In the context of courses at Polytech Tours and in connection with the LIFAT and RFAI researches, Romain RAVEAUX proposes
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Affective Computing
This work is a joint collaboration between the LIFAT and the PhuseLab, University of Milan. Contact : Donatello Conte This
Read moreLUMINEUX Project
The LUMINEUX project is concerned with the societal problem of energy efficiency and over-consumption caused by urban lighting. According to
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Arts and computer interactions: a collaboration with Laurence Dréano
As part of the artist’s residency, this year the University welcomes Laurence Dréano into LIFAT. Initially, the visual artist, Laurence
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