IntuiNaxe : collaborative research with Inaxe company

The IntuiNaxe software results from a collaborative research agreement between the company Inaxe and the Shadoc team of the IRISA laboratory. This collaboration, supported by several successive contracts with INSA Rennes since 2019, has enabled the establishment of a trusted partnership. It led to co‑innovation through a technology transfer supported…

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ANR SKETCH : Intelligent tutorial system for learning bysketching

The twofold aim of the ANR SKETCH project is to 1) collaboratively design an intelligent tutoring system (ITS) that can analyze learners’ actions in real time during the freehand production of a complex scientific drawing on a tablet, and 2) assess and optimize the effects of this system and the…

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INTUINOTE: An Integrated Digital Solution To Encourage Active Learning

AMI “Digital demonstrators in higher education” / AIR project- Increasing Interaction in Rennes IntuiNOTE is an integrated digital solution for higher education that encourages active learning in synchronous mode using a variety of features: handwritten annotations, quizzes allowing rich questions/answers that can be handwritten (diagrams, equations, etc.) or shared whiteboards…

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ANR(e-Fran) TRIANGLE : Working with Intelligent Feedback from a Digital Geometry Application for Student Engagement

Partners LP3C, Université de Rennes 2 IRISA, INSA Rennes, Université de Rennes, IntuiDoc Team Rennes and Poitiers academies Rennes and Niort INSPE Funding ANR (« Soutien au déploiement des projets e-FRAN » (ANR-22-FRAN-0009) : 2022-2024 Project Presentation The objective of the TRIANGLE project is to consolidate the IntuiGéo application (intelligent tutorial system…

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ANR Collabscore

The project is dedicated to the collaborative digitisation of scores present in image form in heritage collections. The process is based on the initial production of musical notation by optical recognition (OMR). The information produced, which is faulty and/or incomplete, is then submitted to a community of users (crowdsourcing), followed…

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Thèse ANR Franco-Allemand (KIHT)

Doctorant : Florent Imbert  (Octobre 2021) Encadrants Anquetil (eric.anquetil@irisa.fr), Professeur à l’INSA de Rennes, responsable de l’équipe Intuidoc de l’IRISA. Soullard (yann.soullard@univ-rennes2.fr), maître de conférences à l’université Rennes 2, collaborateur de l’équipe Intuidoc de l’IRISA. Tavenard (romain.tavenard@univ-rennes2.fr), maître de conférences à l’université Rennes 2, collaborateur de l’équipe Obelix de l’IRISA…

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Deep Learning in the Wild

PhD student: Martin Dornier Supervisors: Philippe Henri Gosselin, Christian Raymond, Yann Ricquebourg et Bertrand Coüasnon CIFRE grant with Interdigital

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