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Barbara Pascal
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2020 – today
- 2024
- [c9]Barbara Pascal, Mathieu Lagrange:
On the Robustness of Musical Timbre Perception Models: From Perceptual to Learned Approaches. EUSIPCO 2024: 41-45 - [c8]Juliana Du, Barbara Pascal, Patrice Abry:
Synthetic Spatiotemporal Covid19 Infection Counts to Assess Graph-Regularized Estimation of Multivariate Reproduction Numbers. EUSIPCO 2024: 2552-2556 - [i3]Barbara Pascal, Rémi Bardenet:
Point Processes and spatial statistics in time-frequency analysis. CoRR abs/2402.19172 (2024) - 2023
- [j6]Charles-Gérard Lucas, Barbara Pascal, Nelly Pustelnik, Patrice Abry:
Hyperparameter selection for Discrete Mumford-Shah. Signal Image Video Process. 17(5): 1897-1904 (2023) - [j5]Gersende Fort, Barbara Pascal, Patrice Abry, Nelly Pustelnik:
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. IEEE Trans. Signal Process. 71: 888-900 (2023) - [c7]Patrice Abry, Juliette Chevallier, Gersende Fort, Barbara Pascal:
Pandemic Intensity Estimation from Stochastic Approximation-Based Algorithms. CAMSAP 2023: 356-360 - [c6]Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik:
Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number. EUSIPCO 2023: 1813-1817 - 2022
- [j4]Barbara Pascal, Patrice Abry, Nelly Pustelnik, Stéphane G. Roux, Rémi Gribonval, Patrick Flandrin:
Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data. IEEE Trans. Signal Process. 70: 2859-2868 (2022) - [j3]Barbara Pascal, Rémi Bardenet:
A Covariant, Discrete Time-Frequency Representation Tailored for Zero-Based Signal Detection. IEEE Trans. Signal Process. 70: 2950-2961 (2022) - [c5]Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik:
Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling. EMBC 2022: 167-170 - [c4]Hugo Artigas, Barbara Pascal, Gersende Fort, Patrice Abry, Nelly Pustelnik:
Credibility interval Design for Covid19 Reproduction Number from Nonsmooth Langevin-type Monte Carlo sampling. EUSIPCO 2022: 2196-2200 - [i2]Gersende Fort, Barbara Pascal, Patrice Abry, Nelly Pustelnik:
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. CoRR abs/2203.09142 (2022) - 2021
- [j2]Barbara Pascal, Samuel Vaiter, Nelly Pustelnik, Patrice Abry:
Automated Data-Driven Selection of the Hyperparameters for Total-Variation-Based Texture Segmentation. J. Math. Imaging Vis. 63(7): 923-952 (2021) - 2020
- [j1]Barbara Pascal, Nelly Pustelnik, Patrice Abry, Jean-Christophe Géminard, Valérie Vidal:
Parameter-free and fast nonlinear piecewise filtering: application to experimental physics. Ann. des Télécommunications 75(11): 655-671 (2020) - [c3]Barbara Pascal, Vincent Mauduit, Nelly Pustelnik, Patrice Abry:
Scale-free Texture Segmentation: Expert Feature-based versus Deep Learning strategies. EUSIPCO 2020: 1367-1371 - [i1]Barbara Pascal, Samuel Vaiter, Nelly Pustelnik, Patrice Abry:
Automated data-driven selection of the hyperparameters for Total-Variation based texture segmentation. CoRR abs/2004.09434 (2020)
2010 – 2019
- 2018
- [c2]Barbara Pascal, Nelly Pustelnik, Patrice Abry, Jean-Christophe Pesquet:
Block-Coordinate Proximal Algorithms for Scale-Free Texture Segmentation. ICASSP 2018: 1253-1257 - [c1]Barbara Pascal, Nelly Pustelnik, Patrice Abry, Marion Serres, Valérie Vidal:
Joint Estimation of Local Variance and Local Regularity for Texture Segmentation. Application to Multiphase Flow Characterization. ICIP 2018: 2092-2096
Coauthor Index
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last updated on 2024-11-07 20:35 CET by the dblp team
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