1.4k citations · 1.4k across the 11 of their papers we have counts for
11 papers
Personalized Convolutional Dictionary Learning of Physiological Time Series
Axel Roques, Samuel Gruffaz, Kyurae Kim +2
Human physiological signals tend to exhibit both global and local structures: the former are shared across a population, while the latter reflect inter-individual variability. For…
ASTRIDE: Adaptive Symbolization for Time Series Databases
Sylvain W. Combettes, Charles Truong, Laurent Oudre
We introduce ASTRIDE (Adaptive Symbolization for Time seRIes DatabasEs), a novel symbolic representation of time series, along with its accelerated variant FASTRIDE (Fast ASTRIDE).…
Flow Redirection for Epidemic Reaction-DIffusion Control
Pierre-Yves Massé, Quentin Laborde, Maria Cherifa +2
We show we can control an epidemic reaction-diffusion on a directed, and heterogeneous, network by redirecting the flows, thanks to the optimisation of well-designed loss functions…
Network Reconstruction Problem for an Epidemic Reaction-Diffusion
Louis-Brahim Beaufort, Pierre-Yves Massé, Antonin Reboulet +1
We study the network reconstruction problem for an epidemic reaction-diffusion. These models are an extension of deterministic, compartmental models to a graph setting, where the r…
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding
Clément Lalanne, Maxence Rateaux, Laurent Oudre +2
The analysis of the Nystagmus waveforms from eye-tracking records is crucial for the clinicial interpretation of this pathological movement. A major issue to automatize this analys…
Meta-analysis parameters computation: a Python approach to facilitate the crossing of experimental conditions
Flavien Quijoux, Charles Truong, Aliénor Vienne-Jumeau +6
Meta-analysis is a data aggregation method that establishes an overall and objective level of evidence based on the results of several studies. It is necessary to maintain a high l…