15 citations · 32 across the 3 of their papers we have counts for
4 papers
Radius selection using kernel density estimation for the computation of nonlinear measures
Johan Medrano, Abderrahmane Kheddar, Annick Lesne +1
When nonlinear measures are estimated from sampled temporal signals with finite-length, a radius parameter must be carefully selected to avoid a poor estimation. These measures are…
Assessing Time Series Correlation Significance: A Parametric Approach with Application to Physiological Signals
Johan Medrano, Abderrahmane Kheddar, Sofiane Ramdani
Correlation coefficients play a pivotal role in quantifying linear relationships between random variables. Yet, their application to time series data is very challenging due to tem…
Linking fast and slow: the case for generative models
Johan Medrano, Karl J. Friston, Peter Zeidman
A pervasive challenge in neuroscience is testing whether neuronal connectivity changes over time due to specific causes, such as stimuli, events, or clinical interventions. Recent…
Enabling Machine Learning Across Heterogeneous Sensor Networks with Graph Autoencoders
Johan Medrano, Fuchun Joseph Lin
Machine Learning (ML) has been applied to enable many life-assisting appli-cations, such as abnormality detection and emdergency request for the soli-tary elderly. However, in most…