Patrice Abry

Orcid: 0000-0002-7096-8290

According to our database1, Patrice Abry authored at least 200 papers between 1993 and 2024.

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

Awards

IEEE Fellow

IEEE Fellow 2012, "For contributions to the theory and applications of fractal and multifractal analysis in signal and image processing".

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Multivariate Selfsimilarity: Multiscale Eigen-Structures for Selfsimilarity Parameter Estimation.
IEEE Trans. Signal Process., 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

Self-Supervised Learning for Image Super-Resolution and Deblurring.
CoRR, 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

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
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

A Bayesian Framework for Multivariate Multifractal Analysis.
IEEE Trans. Signal Process., 2022

Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data.
CoRR, 2022

Multifractal Anomaly Detection in Images via Space-Scale Surrogates.
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

Hurst multimodality detection based on large wavelet random matrices.
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

Foreign Exchange Multivariate Multifractal Analysis.
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
Variational graph autoencoders for multiview canonical correlation analysis.
Signal Process., 2021

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

Deep Learning based Extreme Heatwave Forecast.
CoRR, 2021

Multiview Variational Graph Autoencoders for Canonical Correlation Analysis.
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

Bayesian Estimation of the Parameters of the Bivariate Multifractal Spectrum.
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

Probing High-Order Dependencies With Information Theory.
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

L<sup>γ</sup>-PageRank for Semi-Supervised Learning.
CoRR, 2019

L γ -PageRank for semi-supervised learning.
Appl. Netw. Sci., 2019

BGP Zombies: An Analysis of Beacons Stuck Routes.
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

Shuffling for understanding multifractality, application to asset price time series.
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

A multivariate multifractal analysis of lacunary wavelet series.
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

Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors.
SIAM J. Imaging Sci., 2018

Wavelet eigenvalue regression for n-variate operator fractional Brownian motion.
J. Multivar. Anal., 2018

Evolutions of Individuals Use of Lyon's Bike Sharing System.
CoRR, 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

Spatially regularized wavelet leader scale-free analysis of fMRI data.
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

Assessing Cross-Dependencies Using Bivariate Multifractal Analysis.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

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

Scale-Free Functional Connectivity Analysis from Source Reconstructed MEG Data.
Proceedings of the 26th European Signal Processing Conference, 2018

Multifractal Characterization for Bivariate Data.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Finite-Resolution Effects in p-Leader Multifractal Analysis.
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

A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation.
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

Bluetooth Data in an Urban Context: Retrieving Vehicle Trajectories.
IEEE Trans. Intell. Transp. Syst., 2017

Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification.
IEEE J. Biomed. Health Informatics, 2017

Information Theory to Probe Intrapartum Fetal Heart Rate Dynamics.
Entropy, 2017

P-leader multifractal analysis for text type identification.
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

Multivariate scale-free dynamics: Testing fractal connectivity.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Fractional graph-based semi-supervised learning.
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

Mutual information for intrapartum fetal heart rate analysis.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Spatially regularized multifractal analysis for fMRI data.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
On-The-Fly Approximation of Multivariate Total Variation Minimization.
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

Covariance Versus Precision Matrix Estimation for Efficient Asset Allocation.
IEEE J. Sel. Top. Signal Process., 2016

Bayesian selection for the regularization parameter in TVl0 denoising problems.
CoRR, 2016

Generalized Legendre transform multifractal formalism for nonconcave spectrum estimation.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Bayesian multifractal analysis of multi-temporal images using smooth priors.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

A Bayesian approach for the multifractal analysis of spatio-temporal data.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2016

Multifractal-based texture segmentation using variational procedure.
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

Hyperbolic wavelet leaders for anisotropic multifractal texture analysis.
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

Wove paper analysis through texture similarities.
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

Signal Processing for Art Investigation [From the Guest Editors].
IEEE Signal Process. Mag., 2015

Local regularity, wavelet leaders and total variation based procedures for texture segmentation.
CoRR, 2015

Multiscale anisotropic texture unsupervised clustering for photographic paper.
Proceedings of the 2015 IEEE International Workshop on Information Forensics and Security, 2015

Hyperspectral image analysis using multifractal attributes.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Multivariate optimization for multifractal-based texture segmentation.
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

Demixing multivariate-operator self-similar processes.
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

Scaling range automated selection for wavelet leader multifractal analysis.
Signal Process., 2014

Interplay between functional connectivity and scale-free dynamics in intrinsic fMRI networks.
NeuroImage, 2014

Network application profiling with traffic causality graphs.
Int. J. Netw. Manag., 2014

Inverse problem formulation for regularity estimation in images.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Extending multifractal analysis to negative regularity: P-exponents and P-leaders.
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

When Van Gogh meets Mandelbrot: Multifractal classification of painting's texture.
Signal Process., 2013

Special Issue Guest Editor's Foreword.
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

Bayesian estimation for the multifractality parameter.
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

Hurst exponent and intrapartum fetal heart rate: Impact of decelerations.
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

Multifractal analysis of self-similar processes.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Modulation of scale-free properties of brain activity in MEG.
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

Bruegel's drawings under the multifractal microscope.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Adaptive Multiscale Complexity Analysis of Fetal Heart Rate.
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

Shared Bicycles in a City: a Signal Processing and Data Analysis Perspective.
Adv. Complex Syst., 2011

Multifractal analysis of Resting State Networks in functional MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Scale-dependent analysis of Ionosphere fluctuations.
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

Framework for adaptive multiscale analysis of nonhomogeneous point processes.
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

Unsupervised host behavior classification from connection patterns.
Int. J. Netw. Manag., 2010

Characterization of Host-Level Application Traffic with Multi-Scale Gamma Model.
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

Multifractal analysis of ECG for intrapartum diagnosis of fetal asphyxia.
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
Multifractal random walks as fractional Wiener integrals.
IEEE Trans. Inf. Theory, 2009

Wavelet leaders and bootstrap for multifractal analysis of images.
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

Seven Years and One Day: Sketching the Evolution of Internet Traffic.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

Wavelet Leader multifractal analysis for texture classification.
Proceedings of the International Conference on Image Processing, 2009

Testing fractal connectivity in multivariate long memory processes.
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

Towards systematic traffic annotation.
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

Bootstrap tests for the time constancy of multifractal attributes.
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
Multifractality Tests Using Bootstrapped Wavelet Leaders.
IEEE Trans. Signal Process., 2007

Non-Gaussian and Long Memory Statistical Characterizations for Internet Traffic with Anomalies.
IEEE Trans. Dependable Secur. Comput., 2007

Bootstrap for Empirical Multifractal Analysis.
IEEE Signal Process. Mag., 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

Impact of Data Quantization on Empirical Multifractal Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2007

Fractal Dimension Estimation: Empirical Mode Decomposition Versuswavelets.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Wavelet-based synthesis of the Rosenblatt process.
Signal Process., 2006

Bootstrap for Multifractal Analysis.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Bootstrap for log wavelet leaders cumulant based multifractal analysis.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
On non-scale-invariant infinitely divisible cascades.
IEEE Trans. Inf. Theory, 2005

Multifractality in TCP/IP traffic: the case against.
Comput. Networks, 2005

Wavelet leader based multifractal analysis.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
New Insights into the Estimation of Scaling Exponents.
Int. J. Wavelets Multiresolution Inf. Process., 2004

Scaling exponents estimation for multiscaling processes.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Cluster processes: a natural language for network traffic.
IEEE Trans. Signal Process., 2003

The impact of the flow arrival process in Internet traffic.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Multiscale nature of network traffic.
IEEE Signal Process. Mag., 2002

Does fractal scaling at the IP level depend on TCP flow arrival processes?
Proceedings of the 2nd ACM SIGCOMM Internet Measurement Workshop, 2002

2001
A statistical test for the time constancy of scaling exponents.
IEEE Trans. Signal Process., 2001

Statistical scaling analysis of TCP/IP data using cascades.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Real-time estimation of the parameters of long-range dependence.
IEEE/ACM Trans. Netw., 2000

Meaningful MRA initialization for discrete time series.
Signal Process., 2000

Infinitely divisible cascade analysis of network traffic data.
Proceedings of the IEEE International Conference on Acoustics, 2000

Multifractal analysis and α-stable processes: a methodological contribution.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
A Wavelet-Based Joint Estimator of the Parameters of Long-Range Dependence.
IEEE Trans. Inf. Theory, 1999

Wavelet based estimator for the self-similarity parameter of α-stable processes.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Construction of biorthogonal wavelets starting from any two multiresolutions.
IEEE Trans. Signal Process., 1998

Wavelet Analysis of Long-Range-Dependent Traffic.
IEEE Trans. Inf. Theory, 1998

1997
Multiple-window wavelet transform and local scaling exponent estimation.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1994
On the initialization of the discrete wavelet transform algorithm.
IEEE Signal Process. Lett., 1994

1993
Wavelet-based spectral analysis of 1/f processes.
Proceedings of the IEEE International Conference on Acoustics, 1993


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