| Joint estimation of local variance and local regularity for texture segmentation. application to multiphase flow characterization B Pascal, N Pustelnik, P Abry, M Serres, V Vidal 2018 25th IEEE International Conference on Image Processing (ICIP), 2092-2096, 2018 | 18 | 2018 |
| Automated data-driven selection of the hyperparameters for total-variation-based texture segmentation B Pascal, S Vaiter, N Pustelnik, P Abry Journal of Mathematical Imaging and Vision 63 (7), 923-952, 2021 | 17 | 2021 |
| Nonsmooth convex optimization to estimate the Covid-19 reproduction number space-time evolution with robustness against low quality data B Pascal, P Abry, N Pustelnik, S Roux, R Gribonval, P Flandrin IEEE Transactions on Signal Processing 70, 2859-2868, 2022 | 15 | 2022 |
| Strongly convex optimization for joint fractal feature estimation and texture segmentation B Pascal, N Pustelnik, P Abry Applied and Computational Harmonic Analysis 54, 303-322, 2021 | 11 | 2021 |
| Covid19 reproduction number: Credibility intervals by blockwise proximal monte carlo samplers G Fort, B Pascal, P Abry, N Pustelnik IEEE Transactions on Signal Processing 71, 888-900, 2023 | 10 | 2023 |
| A covariant, discrete time-frequency representation tailored for zero-based signal detection B Pascal, R Bardenet IEEE Transactions on Signal Processing 70, 2950-2961, 2022 | 10 | 2022 |
| Parameter-free and fast nonlinear piecewise filtering: application to experimental physics B Pascal, N Pustelnik, P Abry, JC Géminard, V Vidal Annals of Telecommunications 75, 655-671, 2020 | 9 | 2020 |
| Credibility interval design for Covid19 reproduction number from nonsmooth Langevin-type Monte Carlo sampling H Artigas, B Pascal, G Fort, P Abry, N Pustelnik 2022 30th European Signal Processing Conference (EUSIPCO), 2196-2200, 2022 | 7 | 2022 |
| Block-coordinate proximal algorithms for scale-free texture segmentation B Pascal, N Pustelnik, P Abry, JC Pesquet 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 5 | 2018 |
| Scale-free texture segmentation: Expert feature-based versus deep learning strategies B Pascal, V Mauduit, N Pustelnik, P Abry 2020 28th European Signal Processing Conference (EUSIPCO), 1367-1371, 2021 | 4 | 2021 |
| Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling P Abry, G Fort, B Pascal, N Pustelnik 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 3 | 2022 |
| Credibility intervals for the reproduction number of the Covid-19 pandemic using proximal Langevin samplers P Abry, G Fort, B Pascal, N Pustelnik 2023 31th European Signal Processing Conference (EUSIPCO), 2023 | 2 | 2023 |
| Une famille de représentations covariantes de signaux discrets et son applicationa la détection de signauxa partir de leurs zéros B Pascal, R Bardenet GRETSI 22, 6-9, 2022 | 2 | 2022 |
| Hyperparameter selection for Discrete Mumford–Shah CG Lucas, B Pascal, N Pustelnik, P Abry Signal, Image and Video Processing 17 (5), 1897-1904, 2023 | 1 | 2023 |
| Compared performance of Covid19 reproduction number estimators based on realistic synthetic data J Du, B Pascal, P Abry | 1 | 2023 |
| Estimation et intervalles de crédibilité pour le taux de reproduction de la Covid19 par échantillonnage Monte Carlo Langevin proximal P Abry, G Fort, B Pascal, N Pustelnik Colloque Francophone de Traitement du Signal et des Images (GRETSI), 2022 | 1 | 2022 |
| On the Robustness of Musical Timbre Perception Models: From Perceptual to Learned Approaches B Pascal, M Lagrange | | 2024 |
| Synthetic Spatiotemporal Covid19 Infection Counts to Assess Graph-Regularized Estimation of Multivariate Reproduction Numbers J Du, B Pascal, P Abry | | 2024 |
| Point Processes and spatial statistics in time-frequency analysis B Pascal, R Bardenet arXiv preprint arXiv:2402.19172, 2024 | | 2024 |
| Pandemic intensity estimation from Stochastic Approximation-based algorithms P Abry, J Chevallier, G Fort, B Pascal 2023 IEEE 9th International Workshop on Computational Advances in Multi …, 2023 | | 2023 |
