Barbara Pascal

Orcid: 0000-0003-2335-2693

According to our database1, Barbara Pascal authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Point Processes and spatial statistics in time-frequency analysis.
CoRR, 2024

On the Robustness of Musical Timbre Perception Models: From Perceptual to Learned Approaches.
Proceedings of the 32nd European Signal Processing Conference, 2024

Synthetic Spatiotemporal Covid19 Infection Counts to Assess Graph-Regularized Estimation of Multivariate Reproduction Numbers.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Hyperparameter selection for Discrete Mumford-Shah.
Signal Image Video Process., July, 2023

Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers.
IEEE Trans. Signal Process., 2023

Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number.
Proceedings of the 31st European Signal Processing Conference, 2023

Pandemic Intensity Estimation from Stochastic Approximation-Based Algorithms.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
A Covariant, Discrete Time-Frequency Representation Tailored for Zero-Based Signal Detection.
IEEE Trans. Signal Process., 2022

Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data.
IEEE Trans. Signal Process., 2022

Credibility interval Design for Covid19 Reproduction Number from Nonsmooth Langevin-type Monte Carlo sampling.
Proceedings of the 30th European Signal Processing Conference, 2022

Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Automated Data-Driven Selection of the Hyperparameters for Total-Variation-Based Texture Segmentation.
J. Math. Imaging Vis., 2021

2020
Parameter-free and fast nonlinear piecewise filtering: application to experimental physics.
Ann. des Télécommunications, 2020

Scale-free Texture Segmentation: Expert Feature-based versus Deep Learning strategies.
Proceedings of the 28th European Signal Processing Conference, 2020

2018
Joint Estimation of Local Variance and Local Regularity for Texture Segmentation. Application to Multiphase Flow Characterization.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Block-Coordinate Proximal Algorithms for Scale-Free Texture Segmentation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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