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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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Inauguration of the Labcom Behavior.ai (Joint Laboratory between LIRIS and Hoomano)
The inauguration of labcom Behavior.ai, a joint laboratory between LIRIS and Hoomano, funded by the ANR was successfully held on April 10th, 2019.
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FAID 2019, Houston
LIRIS at FAID 2019 conference "French American Innovation Day" in Houston.
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Interactive visualization of 3D trajectories in virtual reality
An article published at the IEEE Vis 2018 conference proposes a new method of navigation in thousands of virtual reality aircraft trajectories to detect trends and anomalies.
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Best student data mining award at ECML/PKDD 2018!
Aimene Belfodil (DM2L and Mobile Devices), Adnene Belfodil (BD) and Mehdi Kaytoue (DM2L and Infologic) have been rewarded by the best student data mining paper award at the "European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases" (Dublin, Ireland).
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Best Paper Award at the ALife 2018 Conference
Vincent Liard, David Parsons, Jonathan Rouzaud-Cornabas and Guillaume Beslon (Beagle Team) received the Best Paper Award at the ALife 2018 conference in Tokyo in July 2018 for their results on the evolution of complexity.
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Through a collaboration with LIRIS-TWEAK, the Aidaxis company launched its software solution for user assistance
The result of a collaboration between the TWEAK research group of LIRIS and the Aidaxis company, Aidaxis' software solution for integrated contextual user assistance was officially launched on Wednesday, the 23rd of May 2018.
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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