Short-term traffic prediction using physics-aware neural networks M Pereira, A Lang, B Kulcsár Transportation research part C: emerging technologies 142, 103772, 2022 | 21 | 2022 |
Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation M Pereira, N Desassis Spatial Statistics 31, 100359, 2019 | 20 | 2019 |
Parameter and density estimation from real-world traffic data: A kinetic compartmental approach M Pereira, PB Baykas, B Kulcsár, A Lang Transportation Research Part B: Methodological 155, 210-239, 2022 | 13 | 2022 |
Traffic reaction model G Lipták, M Pereira, B Kulcsár, M Kovács, G Szederkényi arXiv preprint arXiv:2101.10190, 2021 | 12 | 2021 |
Geostatistics for large datasets on Riemannian manifolds: a matrix-free approach M Pereira, N Desassis, D Allard arXiv preprint arXiv:2208.12501, 2022 | 10 | 2022 |
Galerkin–Chebyshev approximation of Gaussian random fields on compact Riemannian manifolds A Lang, M Pereira BIT Numerical Mathematics 63 (4), 51, 2023 | 9 | 2023 |
Data-driven distance metrics for kriging-short-term urban traffic state prediction B Varga, M Pereira, B Kulcsár, L Pariota, T Péni IEEE Transactions on Intelligent Transportation Systems 24 (6), 6268-6279, 2023 | 9 | 2023 |
Mean-square exponential stabilization of mixed-autonomy traffic PDE system Y Zhang, H Yu, J Auriol, M Pereira Automatica 170, 111859, 2024 | 6 | 2024 |
Mean-square exponential stabilization of coupled hyperbolic systems with random parameters J Auriol, M Pereira, B Kulcsar IFAC-PapersOnLine 56 (2), 8153-8158, 2023 | 5 | 2023 |
A matrix-free approach to geostatistical filtering M Pereira, N Desassis, C Magneron, N Palmer arXiv preprint arXiv:2004.02799, 2020 | 4 | 2020 |
Finite element approximation of non-Markovian random fields M Pereira, N Desassis arXiv preprint arXiv:1811.03004, 2018 | 4 | 2018 |
The Traffic Reaction Model: A kinetic compartmental approach to road traffic modeling M Pereira, B Kulcsar, G Lipták, M Kovács, G Szederkényi Transportation research part C: emerging technologies 158, 104435, 2024 | 3 | 2024 |
Generalized random fields on Riemannian manifolds: theory and practice M Pereira Université Paris sciences et lettres, 2019 | 3 | 2019 |
PluriGaussian simulations with the stochastic partial differential equation (SPDE) approach N Desassis, D Renard, M Pereira, X Freulon Petroleum Geostatistics 2019 2019 (1), 1-5, 2019 | 3 | 2019 |
Interest of a geostatistical approach to analyze the geographical disparities in human papillomavirus vaccine coverage in France L Ribassin-Majed, M Pereira, C Magneron, L Levy-Bachelot, ... Revue D'epidemiologie et de Sante Publique 69 (6), 321-328, 2021 | 2 | 2021 |
Champs aléatoires généralisés définis sur des variétés riemanniennes: théorie et pratique M Pereira Paris Sciences et Lettres (ComUE), 2019 | 2 | 2019 |
A note on spatio-temporal random fields on meshed surfaces defined from advection-diffusion SPDEs M Pereira | 1 | 2023 |
Intérêt d'une approche géostatistique pour analyser les disparités géographiques de la couverture vaccinale contre les papillomavirus humains en France L Ribassin-Majed, M Pereira, C Magneron, L Levy-Bachelot, ... Revue d'Épidémiologie et de Santé Publique 69 (6), 321-328, 2021 | 1 | 2021 |
Geostatistical Filtering of Noisy Seismic Data Using Stochastic Partial Differential Equations (SPDE) M Pereira, C Magneron, N Desassis Petroleum Geostatistics 2019 2019 (1), 1-5, 2019 | 1 | 2019 |
Non-stationary Gaussian random fields on hypersurfaces: Sampling and strong error analysis E Jansson, A Lang, M Pereira arXiv preprint arXiv:2406.08185, 2024 | | 2024 |