| Riemannian medians and means with applications to radar signal processing M Arnaudon, F Barbaresco, L Yang IEEE Journal of Selected Topics in Signal Processing 7 (4), 595-604, 2013 | 243 | 2013 |
| Matrix information geometry F Nielsen, R Bhatia Springer, 2013 | 194 | 2013 |
| Information geometry of covariance matrix: Cartan-Siegel homogeneous bounded domains, Mostow/Berger fibration and Fréchet median F Barbaresco Matrix information geometry, 199-255, 2012 | 173 | 2012 |
| Innovative tools for radar signal processing based on Cartan’s geometry of SPD matrices & information geometry F Barbaresco 2008 IEEE Radar Conference, 1-6, 2008 | 165 | 2008 |
| Riemannian batch normalization for SPD neural networks D Brooks, O Schwander, F Barbaresco, JY Schneider, M Cord Advances in Neural Information Processing Systems 32, 2019 | 158 | 2019 |
| Interactions between symmetric cone and information geometries: Bruhat-tits and siegel spaces models for high resolution autoregressive doppler imagery F Barbaresco LIX Fall Colloquium on Emerging Trends in Visual Computing, 124-163, 2008 | 145 | 2008 |
| A comparative study of large-scale variants of CMA-ES K Varelas, A Auger, D Brockhoff, N Hansen, OA ElHara, Y Semet, ... International conference on parallel problem solving from nature, 3-15, 2018 | 102 | 2018 |
| Koszul information geometry and Souriau geometric temperature/capacity of Lie group thermodynamics F Barbaresco Entropy 16 (8), 4521-4565, 2014 | 87 | 2014 |
| Medians and means in Riemannian geometry: existence, uniqueness and computation M Arnaudon, F Barbaresco, L Yang Matrix Information Geometry, 169-197, 2012 | 86 | 2012 |
| Radar detection using Siegel distance between autoregressive processes, application to HF and X-band radar J Lapuyade-Lahorgue, F Barbaresco 2008 IEEE Radar Conference, 1-6, 2008 | 85 | 2008 |
| Radar monitoring of a wake vortex: Electromagnetic reflection of wake turbulence in clear air F Barbaresco, U Meier Comptes rendus physique 11 (1), 54-67, 2010 | 83 | 2010 |
| Temporal deep learning for drone micro-Doppler classification DA Brooks, O Schwander, F Barbaresco, JY Schneider, M Cord 2018 19th International Radar Symposium (IRS), 1-10, 2018 | 74 | 2018 |
| Robust statistical radar processing in Fréchet metric space: OS-HDR-CFAR and OS-STAP processing in Siegel homogeneous bounded domains F Barbaresco 2011 12th International Radar Symposium (IRS), 639-644, 2011 | 65 | 2011 |
| New foundation of radar Doppler signal processing based on advanced differential geometry of symmetric spaces: Doppler matrix CFAR and radar application F Barbaresco International Radar Conference 82, 2009 | 65 | 2009 |
| Bayesian inference and maximum entropy methods in science and engineering RL Fry Bayesian Inference and Maximum Entropy Methods in Science and Engineering 617, 2002 | 62* | 2002 |
| Intensive Review of Drones Detection and Tracking: Linear Kalman Filter Versus Nonlinear Regression, an Analysis Case. RA Zitar, A Mohsen, AEF Seghrouchni, F Barbaresco, NA Al-Dmour Archives of computational methods in engineering 30 (5), 2023 | 54 | 2023 |
| Lie group statistics and Lie group machine learning based on Souriau Lie groups thermodynamics & Koszul-Souriau-Fisher metric: New entropy definition as generalized Casimir … F Barbaresco Entropy 22 (6), 642, 2020 | 52 | 2020 |
| Lie group cohomology and (multi) symplectic integrators: new geometric tools for Lie group machine learning based on Souriau geometric statistical mechanics F Barbaresco, F Gay-Balmaz Entropy 22 (5), 498, 2020 | 52 | 2020 |
| Springer: Cham F Nielsen, F Barbaresco Switzerland, 2021 | 50 | 2021 |
| Geometric theory of heat from Souriau Lie groups thermodynamics and Koszul Hessian geometry: Applications in information geometry for exponential families F Barbaresco Entropy 18 (11), 386, 2016 | 50 | 2016 |
Marc ArnaudonUniversité de BordeauxVerified email at math.u-bordeaux.fr
