131 citations · 386 across the 41 of their papers we have counts for
45 papers
Signature-Based Feature Learning for Human Activity Recognition: A Reproducible Machine Learning Study of Representation, Depth, and Model Choice
Kamal Jarrar, Jacky Cresson, Christian Paroissin
Human activity recognition (HAR) relies on transforming sensor signals into informative representations for classification. Although deep learning and handcrafted features are wide…
Dynamics of Stochastic Hamiltonian systems I - Wong-Zakai Variational integrators
Jacky Cresson, Rouba SAfI
We construct variational integrators to study the dynamics of stochastic Hamiltonian systems using their Wong-Zakai approximation. This approach can be used to interpret and justif…
From fractal R-L ladder networks to the diffusion equation
Jacky Cresson, Anna Szafranska
We give a self-contained presentation of fractal R-L ladder networks as well as a detailed computation of the admittance of these systems. We also discuss the conditions under whic…
Diffusion equations with spatially dependent coefficients and fractal Cauer-type networks
Jacky Cresson, Anna Szafranska
We give a self-contained proof of the connection existing between diffusion equations with spatially dependent coefficients and fractal Cauer-type networks initiated by J. Sabatier…
Mid-point embedding of Hamiltonian systems and variational integrators
Jacky Cresson, Rouba Safi
Following the discrete embedding formalism, we give a new derivation of the mid-point variational integrators as developed by J.M. Wendlandt and J.E. Marsden by defining an adapted…
Stochastic modication of Newtonian dynamics and Induced potential -application to spiral galaxies and the dark potential
Jacky Cresson, Laurent Nottale, Thierry Lehner
Using the formalism of stochastic embedding developed by [J. Cresson, D. Darses, J. Math. Phys. 48, 072703 (2007)], we study how the dynamics of the classical Newton equation for a…