André Ferrari

Orcid: 0000-0002-7297-7625

Affiliations:
  • Université de Nice Sophia Antipolis


According to our database1, André Ferrari authored at least 89 papers between 1990 and 2023.

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

Timeline

Legend:

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Bibliography

2023
A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data.
IEEE Trans. Neural Networks Learn. Syst., July, 2023

Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data.
IEEE Trans. Intell. Transp. Syst., March, 2023

Variance Stabilizing Transformations for Intensity Estimators of Shot Noise.
IEEE Signal Process. Lett., 2023

Online change-point detection with kernels.
Pattern Recognit., 2023

DIstributed Change Point Detection in Streaming Manifold-Valued Signals Over Graphs.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis.
Proceedings of the 30th European Signal Processing Conference, 2022

Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Software-Defined Radio Assessment for Microwave Imaging Breast Cancer Detection.
Proceedings of the IEEE Nordic Circuits and Systems Conference, NorCAS 2020, Oslo, 2020

Non-parametric Community Change-points Detection in Streaming Graph Signals.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Online Graph-Based Change Point Detection in Multiband Image Sequences.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation.
CoRR, 2019

Kernel Based Online Change Point Detection.
Proceedings of the 27th European Signal Processing Conference, 2019

Distributed Change Detection in Streaming Graph Signals.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Distribution strategies for very large 3D image deconvolution algorithms.
Signal Process. Image Commun., 2018

Robust distributed calibration of radio interferometers with direction dependent distortions.
Signal Process., 2018

Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

A Study on Convolution using Half-Precision Floating-Point Numbers on GPU for Radio Astronomy Deconvolution.
Proceedings of the 2018 IEEE International Workshop on Signal Processing Systems, 2018

Robust Calibration of Radio Interferometers in Multi-Frequency Scenario.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Bayesian Calibration Using Different Prior Distributions: An Iterative Maximum A Posteriori Approach for Radio Interferometers.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Diffusion LMS for Multitask Problems With Local Linear Equality Constraints.
IEEE Trans. Signal Process., 2017

Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions.
IEEE Trans. Image Process., 2017

Distributed approach for deblurring large images with shift-variant blur.
Proceedings of the 25th European Signal Processing Conference, 2017

Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization.
IEEE Trans. Signal Process., 2016

Multitask Diffusion Adaptation Over Asynchronous Networks.
IEEE Trans. Signal Process., 2016

Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Diffusion LMS over multitask networks with noisy links.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Unsupervised neighbor dependent nonlinear unmixing.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Fast and robust detection of a known pattern in an image.
Proceedings of the 24th European Signal Processing Conference, 2016

Distributed multi-frequency image reconstruction for radio-interferometry.
Proceedings of the 24th European Signal Processing Conference, 2016

Distributed learning over multitask networks with linearly related tasks.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Hyperspectral data unmixing with graph-based regularization.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Multitask diffusion LMS with sparsity-based regularization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A graph Laplacian regularization for hyperspectral data unmixing.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Large scale 3D image reconstruction in optical interferometry.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios.
IEEE Trans. Signal Process., 2014

Blind and Fully Constrained Unmixing of Hyperspectral Images.
IEEE Trans. Image Process., 2014

PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry.
CoRR, 2014

GLUP: Yet another algorithm for blind unmixing of hyperspectral data.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

A non-asymptotic standardization of binomial counts in Higher Criticism.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Distributed image reconstruction for very large arrays in radio astronomy.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Subspace learning in minimax detection.
Proceedings of the IEEE International Conference on Acoustics, 2014

Performance analysis of multitask diffusion adaptation over asynchronous networks.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Detection Tests Using Sparse Models, With Application to Hyperspectral Data.
IEEE Trans. Signal Process., 2013

Minimax sparse detection based on one-class classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2013

Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data.
Proceedings of the IEEE International Conference on Acoustics, 2013

Models with products of Dirichlet processes.
Proceedings of the IEEE International Conference on Acoustics, 2013

Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Adaptive inverse control using kernel identification.
Proceedings of the American Control Conference, 2012

Classification of multivariate data using Dirichlet process mixture models.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Stationnarité relative et approches connexes.
Traitement du Signal, 2011

Transitional surrogates.
Proceedings of the IEEE International Conference on Acoustics, 2011

Sparsity-based composite detection tests. application to astrophysical hyperspectral data.
Proceedings of the 19th European Signal Processing Conference, 2011

PDR and LRMAP detection tests applied to massive hyperspectral data.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

2010
Statistical hypothesis testing with time-frequency surrogates to check signal stationarity.
Proceedings of the IEEE International Conference on Acoustics, 2010

Bayesian detection with the posterior distribution of the likelihood ratio.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Detection of a Moving Source in Speckle Noise. Application to Exoplanet Detection.
IEEE Trans. Signal Process., 2009

Detection from a multi-channel sensor using a hierarchical Bayesian model.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Detection and performance analysis for a moving point source in speckle noise, application to exoplanet detection by direct imaging.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Bivariate Gamma Distributions for Image Registration and Change Detection.
IEEE Trans. Image Process., 2007

2006
Parameter Estimation for Multivariate Mixed Poisson Distributions.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Parameter estimation for multivariate gamma distributions.
Proceedings of the 14th European Signal Processing Conference, 2006

2004
Cramer-Rao lower bounds for change points in additive and multiplicative noise.
Signal Process., 2004

Detection performance for discrete test statistics. Application to low-flux imagery.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Multivariate mixed poisson distributions.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2002
Parametric modeling of photometric signals.
Signal Process., 2002

Changepoint detection in multivariate Poisson distributions.
Proceedings of the IEEE International Conference on Acoustics, 2002

Extension of Whittle likelihood to transient signal parameters estimation. Application to stellar speckle interferometry.
Proceedings of the 11th European Signal Processing Conference, 2002

Spectral modes estimation using Whittle-type criterion. Application to stellar speckle interferometry.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Marginal Bayesian analysis of polynomial-phase signals.
Signal Process., 2001

2000
Cramer-Rao lower bounds for abrupt change parameters in additive and multiplicative noise.
Proceedings of the IEEE International Conference on Acoustics, 2000

Statistical analysis of a parametric model for photometric signals.
Proceedings of the 10th European Signal Processing Conference, 2000

1999
Detection of extra solar planets using parametric modeling.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1997
Bayesian estimation of the parameters of a polynomial phase signal using MCMC methods.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Spectral estimation of a Gaussian signal sampled with jitter.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Polynomial-phase signal analysis using stationary moments.
Signal Process., 1996

Detection and estimation of changes in a polynomial-phase signal using the DPPT.
Proceedings of the 8th European Signal Processing Conference, 1996

Stationary moments of a polynomial phase signal, application to parameter estimation.
Proceedings of the 8th European Signal Processing Conference, 1996

1995
A parametric model for the quadratic sampling of a bandlimited signal.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
High-order ergodicity of a complex harmonic process.
IEEE Trans. Inf. Theory, 1994

1993
Overdetermined noise compensation without eigendecomposition for frequency estimation.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
Improvements of a state-space iterative noise reduction algorithm for harmonic retrieval.
IEEE Trans. Signal Process., 1992

Estimation of the fundamental frequency of a noisy sum of cisoids with harmonic related frequencies.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
A new state space algorithm for computing the frequencies of sinusoids in white noise.
Signal Process., 1991

Estimation of the frequencies of a complex sinusoidal noisy signal using fourth order statistics.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
Spectral estimation methods avoiding eigenvector decomposition.
Proceedings of the 1990 International Conference on Acoustics, 1990


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