Patrice Abry
Orcid: 0000-0002-7096-8290
According to our database1,
Patrice Abry
authored at least 206 papers
between 1993 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2012, "For contributions to the theory and applications of fractal and multifractal analysis in signal and image processing".
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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Bibliography
2024
Multivariate Selfsimilarity: Multiscale Eigen-Structures for Selfsimilarity Parameter Estimation.
IEEE Trans. Signal Process., 2024
Longitudinal Cross-Temporal Dynamics in Foreign Exchange via Bayesian Multifractal Analysis.
Proceedings of the 32nd European Signal Processing Conference, 2024
Equivariance-Based Self-Supervised Learning for Audio Signal Recovery from Clipped Measurements.
Proceedings of the 32nd European Signal Processing Conference, 2024
Identifying High-Dimensional Self-Similarity Based on Spectral Clustering Applied to Large Wavelet Random Matrices.
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
Restart Strategies Enabling Automatic Differentiation for Hyperparameter Tuning in Inverse Problems.
Proceedings of the 32nd European Signal Processing Conference, 2024
Learning Smooth Graphs with Sparse Temporal Variations to Explore Long-Term Financial Trends.
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
Signal Image Video Process., July, 2023
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers.
IEEE Trans. Signal Process., 2023
Combining Dual-Tree Wavelet Analysis and Proximal Optimization for Anisotropic Scale-Free Texture Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Wassertein Gan Synthesis for Time Series with Complex Temporal Dynamics: Frugal Architectures and Arbitrary Sample-Size Generation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Epileptic Seizure Prediction from Eigen-Wavelet Multivariate Self-Similarity Analysis of Multi-Channel EEG Signals.
Proceedings of the 31st European Signal Processing Conference, 2023
A Robust Model and its EM Algorithm for the Estimation of the Multifractality Parameter.
Proceedings of the 31st European Signal Processing Conference, 2023
Bivariate Multifractal Analysis for Non-Homogenous Point Processes, with Application to Geospatial Data.
Proceedings of the 31st European Signal Processing Conference, 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
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
2022
Multivariate multifractal texture DCGAN synthesis: How well does it work ? How does one know ?
J. Signal Process. Syst., 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
IEEE Trans. Signal Process., 2022
Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data.
CoRR, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Counting the Number of Different Scaling Exponents in Multivariate Scale-Free Dynamics: Clustering by Bootstrap in the Wavelet Domain.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
A Comparison of Bayesian Estimators for the Parameters of the Bivariate Multifractal Spectrum.
Proceedings of the 30th European Signal Processing Conference, 2022
Credibility interval Design for Covid19 Reproduction Number from Nonsmooth Langevin-type Monte Carlo sampling.
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Drowsiness detection from polysomnographic data using multivariate selfsimilarity and eigen-wavelet analysis.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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
Signal Process., 2021
Automated Data-Driven Selection of the Hyperparameters for Total-Variation-Based Texture Segmentation.
J. Math. Imaging Vis., 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Bootstrap for testing the equality of selfsimilarity exponents across multivariate time series.
Proceedings of the 29th European Signal Processing Conference, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
2020
Parameter-free and fast nonlinear piecewise filtering: application to experimental physics.
Ann. des Télécommunications, 2020
Dcgan for the Synthesis of Multivariate Multifractal Textures: How do We Know it Works?
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Deep Learning Abilities to Classify Intricate Variations in Temporal Dynamics of Multivariate Time Series.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Scale-free Texture Segmentation: Expert Feature-based versus Deep Learning strategies.
Proceedings of the 28th European Signal Processing Conference, 2020
Quantifying Functional Links between Brain and Heartbeat Dynamics in the Multifractal Domain: a Preliminary Analysis.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Multiscale anisotropic analysis for assessment of similarity between papers in a large Matisse print dataset.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
A Generalized Multifractal Formalism for the Estimation of Nonconcave Multifractal Spectra.
IEEE Trans. Signal Process., 2019
IEEE Trans. Signal Process., 2019
Wavelet p-Leader Non Gaussian Multiscale Expansions for Heart Rate Variability Analysis in Congestive Heart Failure Patients.
IEEE Trans. Biomed. Eng., 2019
Proceedings of the Passive and Active Measurement - 20th International Conference, 2019
Multifractal Analysis for Cumulant-Based Epileptic Seizure Detection in Eeg Time Series.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Bootstrap-based Bias Reduction for the Estimation of the Self-similarity Exponents of Multivariate Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2019
Detection and Estimation of Delays in Bivariate Self-similarity: Bootstrapped Complex Wavelet Coherence.
Proceedings of the IEEE International Conference on Acoustics, 2019
On Multivariate Non-Gaussian Scale Invariance: Fractional Lévy Processes And Wavelet Estimation.
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Heartbeat Dynamics Analysis under Cold-Pressure Test using Wavelet p-Leader Non-Gaussian Multiscale Expansions.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Wavelet p-Leader Non-Gaussian Multiscale Expansions for EEG series: an Exploratory Study on Cold-Pressor Test.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
Wavelet-Based Detection and Estimation of Fractional Lévy Signals in High Dimensions.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
Mortality Prediction in Severe Congestive Heart Failure Patients With Multifractal Point-Process Modeling of Heartbeat Dynamics.
IEEE Trans. Biomed. Eng., 2018
SIAM J. Imaging Sci., 2018
J. Multivar. Anal., 2018
Wavelet Domain Bootstrap for Testing the Equality of Bivariate Self-Similarity Exponents.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Detecting and Estimating Multivariate Self-Similar Sources in High-Dimensional Noisy Mixtures.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 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
Performance of two Multiscale Texture Algorithms in Classifying Silver Gelatin Paper via K-Nearest Neighbors.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
IEEE Trans. Signal Process., 2017
Bayesian Selection for the ℓ<sub>2</sub>-Potts Model Regularization Parameter: 1-D Piecewise Constant Signal Denoising.
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Inf. Process. over Networks, 2017
Scaling in Internet Traffic: A 14 Year and 3 Day Longitudinal Study, With Multiscale Analyses and Random Projections.
IEEE/ACM Trans. Netw., 2017
IEEE Trans. Intell. Transp. Syst., 2017
IEEE J. Biomed. Health Informatics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
Multiscale properties of instantaneous parasympathetic activity in severe congestive heart failure: A survivor vs non-survivor study.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
IEEE Trans. Signal Process., 2016
Non-Linear Wavelet Regression and Branch & Bound Optimization for the Full Identification of Bivariate Operator Fractional Brownian Motion.
IEEE Trans. Signal Process., 2016
Combining Local Regularity Estimation and Total Variation Optimization for Scale-Free Texture Segmentation.
IEEE Trans. Computational Imaging, 2016
Multiscale Analysis of Intensive Longitudinal Biomedical Signals and Its Clinical Applications.
Proc. IEEE, 2016
IEEE J. Sel. Top. Signal Process., 2016
CoRR, 2016
Generalized Legendre transform multifractal formalism for nonconcave spectrum estimation.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the International Conference on Systems, Signals and Image Processing, 2016
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016
Multivariate hurst exponent estimation in FMRI. Application to brain decoding of perceptual learning.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Bayesian joint estimation of the multifractality parameter of image patches using gamma Markov Random Field priors.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Non-linear regression for bivariate self-similarity identification - application to anomaly detection in Internet traffic based on a joint scaling analysis of packet and byte counts.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
A Bayesian framework for the multifractal analysis of images using data augmentation and a whittle approximation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Bayesian estimation for the local assessment of the multifractality parameter of multivariate time series.
Proceedings of the 24th European Signal Processing Conference, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Bayesian Estimation of the Multifractality Parameter for Image Texture Using a Whittle Approximation.
IEEE Trans. Image Process., 2015
Multiscale Anisotropic Texture Analysis and Classification of Photographic Prints: Art scholarship meets image processing algorithms.
IEEE Signal Process. Mag., 2015
IEEE Signal Process. Mag., 2015
Local regularity, wavelet leaders and total variation based procedures for texture segmentation.
CoRR, 2015
Proceedings of the 2015 IEEE International Workshop on Information Forensics and Security, 2015
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Estimating link-dependent Origin-Destination matrices from sample trajectories and traffic counts.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Random projection and multiscale wavelet leader based anomaly detection and address identification in internet traffic.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
A Bayesian approach for the joint estimation of the multifractality parameter and integral scale based on the Whittle approximation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Bayesian estimation of the multifractality parameter for images via a closed-form Whittle likelihood.
Proceedings of the 23rd European Signal Processing Conference, 2015
Point-process high-resolution representations of heartbeat dynamics for multiscale analysis: A CHF survivor prediction study.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Intrapartum fetal heart rate classification from trajectory in Sparse SVM feature space.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
P-leader multifractal analysis and sparse SVM for intrapartum fetal acidosis detection.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Scattering Transform for Intrapartum Fetal Heart Rate Variability Fractal Analysis: A Case-Control Study.
IEEE Trans. Biomed. Eng., 2014
Signal Process., 2014
Interplay between functional connectivity and scale-free dynamics in intrinsic fMRI networks.
NeuroImage, 2014
Int. J. Netw. Manag., 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Hybrid bayesian variational scheme to handle parameter selection in total variation signal denoising.
Proceedings of the 22nd European Signal Processing Conference, 2014
MultiScale wavelet p-leader based heart rate variability analysis for survival probability assessment in CHF patients.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Nearest-neighbor based wavelet entropy rate measures for intrapartum fetal heart rate variability.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Impacts of First and Second Labour Stages on Hurst Parameter based Intrapartum Fetal Heart Rate Analysis.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Hyperbolic wavelet transform for historic photographic paper classification challenge.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
Random Vector and Time Series Definition and Synthesis From Matrix Product Representations: From Statistical Physics to Hidden Markov Models.
IEEE Trans. Signal Process., 2013
Synoptic Graphlet: Bridging the Gap Between Supervised and Unsupervised Profiling of Host-Level Network Traffic.
IEEE/ACM Trans. Netw., 2013
Self-Similar Anisotropic Texture Analysis: The Hyperbolic Wavelet Transform Contribution.
IEEE Trans. Image Process., 2013
Signal Process., 2013
Learning-induced modulation of scale-free properties of brain activity measured with MEG.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Local regularity for texture segmentation: Combining wavelet leaders and proximal minimization.
Proceedings of the IEEE International Conference on Acoustics, 2013
Scattering transform for intrapartum fetal heart rate characterization and acidosis detection.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
2012
Critical moment definition and estimation, for finite size observation of log-exponential-power law random variables.
Signal Process., 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Using surrogates and optimal transport for synthesis of stationary multivariate series with prescribed covariance function and non-gaussian joint-distribution.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Matrix products for the synthesis of stationary time series with a priori prescribed joint distributions.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
IEEE Trans. Biomed. Eng., 2011
Synthesis of multivariate stationary series with prescribed marginal distributions and covariance using circulant matrix embedding.
Signal Process., 2011
Fast and exact synthesis of stationary multivariate Gaussian time series using circulant embedding.
Signal Process., 2011
Adv. Complex Syst., 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Detecting oscillating singularities in multifractal analysis: Application to hydrodynamic turbulence.
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Investigating Self-Similarity and Heavy-Tailed Distributions on a Large-Scale Experimental Facility.
IEEE/ACM Trans. Netw., 2010
Revisiting an old friend: on the observability of the relation between long range dependence and heavy tail.
Telecommun. Syst., 2010
Int. J. Netw. Manag., 2010
IEICE Trans. Commun., 2010
Assessing erectile neurogenic dysfunction from heart rate variability through a Generalized Linear Mixed Model framework.
Comput. Methods Programs Biomed., 2010
Uncovering Relations between Traffic Classifiers and Anomaly Detectors via Graph Theory.
Proceedings of the Traffic Monitoring and Analysis, Second International Workshop, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking.
Proceedings of the 2010 ACM Conference on Emerging Networking Experiments and Technology, 2010
2009
IEEE Trans. Inf. Theory, 2009
Signal Process., 2009
Measurement Analysis of the Live E! Sensor Network: Spatial-Temporal Correlations and Data Aggregation.
Proceedings of the Ninth Annual International Symposium on Applications and the Internet, 2009
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
On the Role of Flows and Sessions in Internet Traffic Modeling: An Explorative Toy-Model.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009
Proceedings of the 5th international student workshop on Emerging networking experiments and technologies, 2009
EMD-based Analysis of Rat EEG Data for Sleep State Classification.
Proceedings of the BIOSIGNALS 2009, 2009
Combining multiresolution and random projections for robust statistical analysis and anomaly detection.
Proceedings of the AINTEC '09, 2009
2008
Log Wavelet Leaders Cumulant Based Multifractal Analysis of EVI fMRI Time Series: Evidence of Scaling in Ongoing and Evoked Brain Activity.
IEEE J. Sel. Top. Signal Process., 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Parameter estimation for sums of correlated gamma random variables. Application to anomaly detection in internet traffic.
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
IEEE Trans. Signal Process., 2007
Non-Gaussian and Long Memory Statistical Characterizations for Internet Traffic with Anomalies.
IEEE Trans. Dependable Secur. Comput., 2007
Une caractérisation non gaussienne et à longue mémoire du trafic Internet et de ses anomalies: validation expérimentale et application à la détection d'attaque de DDoS/Non Gaussian Long Memory Model for Internet Traffic: Experimental Validation and Application to DDoS Detection.
Ann. des Télécommunications, 2007
Extracting hidden anomalies using sketch and non Gaussian multiresolution statistical detection procedures.
Proceedings of the 2007 Workshop on Large Scale Attack Defense, 2007
Invited Talk: Sketch Based Anomaly Detection, Identification and Performance Evaluation.
Proceedings of the 2007 International Symposium on Applications and the Internet, 2007
Leader-Based Multifractal Analysis for Evi fmri Time Series: Ongoing vs Task-Related Brain Activity.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 14th European Signal Processing Conference, 2006
2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Int. J. Wavelets Multiresolution Inf. Process., 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2003
IEEE Trans. Signal Process., 2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
2002
Proceedings of the 2nd ACM SIGCOMM Internet Measurement Workshop, 2002
2001
IEEE Trans. Signal Process., 2001
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
IEEE/ACM Trans. Netw., 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
1999
IEEE Trans. Inf. Theory, 1999
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
1998
IEEE Trans. Signal Process., 1998
1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
1994
IEEE Signal Process. Lett., 1994
1993
Proceedings of the IEEE International Conference on Acoustics, 1993