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CHI Play 2019 : Honorable mention
The article “Factors to Consider for Tailored Gamification” by Stuart Hallifax, Audrey Serna, Jean-Charles Marty, Guillaume Lavoué, and Elise Lavoué received an Honorable mention (13.7% of the accepted papers) during the CHI PLAY 2019 conference in Barcelona. The CHI PLAY conference is organised by the SIGCHI group of the ACM.
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Best Submission Award at the International Workshop "Visualization for AI Explainability" 2019
The article presented by Théo Jaunet, co-advised by Romain Vuillemot (SICAL) and Christian Wolf (IMAGINE), won the award for best submission at the International Workshop "Visualization for AI Explainability", which was organised jointly with the international conference IEEE VIS 2019.
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Science festival at LIRIS
During two days, we are welcoming students from primary to high school at the university. Trough various activities they will discover several aspects of computer science.
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38th IEEE International Symposium on Reliable Distributed Systems (SRDS 2019)
The 38th IEEE International Symposium on Reliable Distributed Systems (SRDS 2019) has been held at INSA Lyon, Campus La Doua, Villeurbanne October 1-4, 2019. SRDS is a forum for researchers and practitioners interested in distributed systems design, development and evaluation, with emphasis on reliability, availability, safety, dependability, security, and real-time.
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Matching point sets : our work at SIGGRAPH 2019
LIRIS is again at SIGGRAPH, the leading conference in computer graphics, this time to present work by Nicolas Bonneel and David Coeurjolly on matching point sets. A fast algorithm was developped, using 1-d projections of higher-dimensional point sets, and based on optimal transport theory.
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Top prize at the ACM summer school in data science
Marie Le Guilly (BD), PHD student at INSA Lyon, has been awarded the first prize at the ACM summer school that took place in Athens from the 11th to the 17th of July 2019.
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A new fuzzy switching filter for time series denoising
How to denoise non-stationary data with progressive transitions between 2 states, such as temperatures measured during day/night rotations? To solve this type of problem, we propose a new Gaussian linear fuzzy filtering algorithm, which is optimal and fast.
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Links between odorant structure and olfactory perception revealed thanks to artificial intelligence
Can we verbally describe an odorant compound only by looking at its chemical structure? This exercise remains a challenge for scientists and a fantasy for the aroma and fragrance industry. This work, published in Plos Computational Biology, has combined innovative pattern mining approaches with chemical property calculations to establish such rules. A fruitful interdisciplinary collaboration for a first step on the way to the rational design of perfume compounds.
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The DM2L research group from LIRIS at SIGKDD 2019.
The DM2L research group, in collaboration with the University of Ghent (Belgium), will present at SIGKDD’19 a novel method to analyse data with hierarchies.
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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon