M. Ghienne

Beyond the limitations of perturbation methods for real random eigenvalue problems using Exceptional Points and analytic continuation

B. Nennig, M. Ghienne, 2020, Journal of Sound and Vibration.

Stochastic model reduction for robust dynamical characterization of structures with random parameters

L. Laurent, C. Blanzé, M. Ghienne, 2017 .

STOCHASTIC MODEL IDENTIFICATION OF A BOLTED JOINT FOR THE ROBUST CHARACTERISATION OF THE VIBRATIONAL BEHAVIOUR OF LIGHT ASSEMBLED STRUCTURES

L. Laurent, C. Blanzé, M. Ghienne, 2018 .

Aircraft Numerical “Twin”: A Time Series Regression Competition

Thomas M. Epalle, I. Guyon, Adrien Pavao, 2021, International Conference on Machine Learning and Applications.

Linear regression and artificial neural network models for predicting abrasive water jet marble drilling quality

J. Dion, M. Ghienne, Mouna Hammouda, 2022, Advances in Mechanical Engineering.

MBSE analysis for energy sustainability improvement in manufacturing industry

Olivia Penas, Jean-Luc Dion, Martin Ghienne, 2021, 2021 IEEE International Symposium on Systems Engineering (ISSE).

A simplified method for random vibration analysis of structures with random parameters

C. Blanzé, M. Ghienne, 2016 .

Robust characterization of the vibrational behaviour of light assembled structures with random parameters

Luc Laurent, Claude Blanzé, Martin Ghienne, 2020, Mechanical Systems and Signal Processing.

Unsupervised Complex Semi-Binary Matrix Factorization for Activation Sequence Recovery of Quasi-Stationary Sources

M. Ghienne, Romain Delabeye, Olivia Penas, 2023, arXiv.org.