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ORCIDAndré Ferrari
Person information
- affiliation: Université de Nice Sophia Antipolis
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2020 – today
- 2023
[j23]André Ferrari, Cédric Richard, Anthony Bourrier, Ikram Bouchikhi:
Online change-point detection with kernels. Pattern Recognit. 133: 109022 (2023)- [j22]Thierry Montagu
, André Ferrari:
Variance Stabilizing Transformations for Intensity Estimators of Shot Noise. IEEE Signal Process. Lett. 30: 977-981 (2023) - [j21]Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard:
Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data. IEEE Trans. Intell. Transp. Syst. 24(3): 2947-2962 (2023) - [j20]Martijn van den Ende, Itzhak Lior, Jean-Paul Ampuero, Anthony Sladen, André Ferrari, Cédric Richard:
A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3371-3384 (2023) - [c64]Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, André Ferrari:
DIstributed Change Point Detection in Streaming Manifold-Valued Signals Over Graphs. ACSSC 2023: 689-693 - 2022
- [c63]Yacine Khacef, Martijn van den Ende, André Ferrari, Cédric Richard, Anthony Sladen:
Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing. IEEECONF 2022: 790-794 - [c62]Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard:
Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis. EUSIPCO 2022: 882-886 - 2021
- [c61]Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard:
Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing. ACSCC 2021: 1104-1108 - 2020
- [c60]R. A. Borsoi, Cédric Richard, André Ferrari, Jie Chen, José Carlos M. Bermudez:
Online Graph-Based Change Point Detection in Multiband Image Sequences. EUSIPCO 2020: 850-854 - [c59]André Ferrari, Cédric Richard:
Non-parametric Community Change-points Detection in Streaming Graph Signals. ICASSP 2020: 5545-5549 - [c58]Dionisio Carvalho, Alexandre J. Aragão, André Ferrari, Bruno Sanches, Wilhelmus A. M. Van Noije:
Software-Defined Radio Assessment for Microwave Imaging Breast Cancer Detection. NorCAS 2020: 1-6
2010 – 2019
- 2019
- [c57]André Ferrari, Cédric Richard, Louis Verduci:
Distributed Change Detection in Streaming Graph Signals. CAMSAP 2019: 166-170 - [c56]Ikram Bouchikhi, André Ferrari, Cédric Richard, Anthony Bourrier, Marc Bernot:
Kernel Based Online Change Point Detection. EUSIPCO 2019: 1-5 - [i9]Rémi Flamary, Karim Lounici, André Ferrari:
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation. CoRR abs/1905.10155 (2019) - [i8]André Ferrari, Cédric Richard, Louis Verduci:
Distributed Change Detection in Streaming Graph Signals. CoRR abs/1910.06561 (2019) - 2018
- [j19]Virginie Ollier, Mohammed Nabil El Korso, André Ferrari, Rémy Boyer, Pascal Larzabal:
Robust distributed calibration of radio interferometers with direction dependent distortions. Signal Process. 153: 348-354 (2018) - [j18]Celine Meillier, Rita Ammanouil, André Ferrari, Pascal Bianchi:
Distribution strategies for very large 3D image deconvolution algorithms. Signal Process. Image Commun. 67: 149-160 (2018) - [c55]Virginie Ollier, Mohammed Nabil El Korso, André Ferrari, Rémy Boyer, Pascal Larzabal:
Bayesian Calibration Using Different Prior Distributions: An Iterative Maximum A Posteriori Approach for Radio Interferometers. EUSIPCO 2018: 2673-2677 - [c54]Virginie Ollier, Mohammed Nabil El Korso, André Ferrari, Rémy Boyer, Pascal Larzabal:
Robust Calibration of Radio Interferometers in Multi-Frequency Scenario. ICASSP 2018: 3494-3498 - [c53]Rita Ammanouil, André Ferrari, Cédric Richard:
ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator. ICASSP 2018: 4449-4453 - [c52]Mickaël Seznec, Nicolas Gac, André Ferrari, François Orieux:
A Study on Convolution using Half-Precision Floating-Point Numbers on GPU for Radio Astronomy Deconvolution. SiPS 2018: 170-175 - [c51]Ikram Bouchikhi, André Ferrari, Cédric Richard, Anthony Bourrier, Marc Bernot:
Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation. SSP 2018: 538-542 - 2017
- [j17]Rita Ammanouil, André Ferrari, Cédric Richard, Sandrine Mathieu:
Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions. IEEE Trans. Image Process. 26(1): 340-354 (2017) - [j16]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Diffusion LMS for Multitask Problems With Local Linear Equality Constraints. IEEE Trans. Signal Process. 65(19): 4979-4993 (2017) - [c50]Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary:
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. EUSIPCO 2017: 1435-1439 - [c49]Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard:
Distributed approach for deblurring large images with shift-variant blur. EUSIPCO 2017: 2463-2470 - [i7]Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary:
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. CoRR abs/1703.03608 (2017) - 2016
- [j15]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Multitask Diffusion Adaptation Over Asynchronous Networks. IEEE Trans. Signal Process. 64(11): 2835-2850 (2016) - [j14]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization. IEEE Trans. Signal Process. 64(23): 6329-6344 (2016) - [c48]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Distributed learning over multitask networks with linearly related tasks. ACSSC 2016: 1390-1394 - [c47]Jeremy Deguignet, André Ferrari, David Mary, Chiara Ferrari:
Distributed multi-frequency image reconstruction for radio-interferometry. EUSIPCO 2016: 1483-1487 - [c46]Loïc Denis, André Ferrari, David Mary, Laurent M. Mugnier, Éric Thiébaut:
Fast and robust detection of a known pattern in an image. EUSIPCO 2016: 2206-2210 - [c45]Rita Ammanouil, André Ferrari, Cédric Richard:
Unsupervised neighbor dependent nonlinear unmixing. ICASSP 2016: 1437-1441 - [c44]Roula Nassif, Cédric Richard, Jie Chen, André Ferrari, Ali H. Sayed:
Diffusion LMS over multitask networks with noisy links. ICASSP 2016: 4583-4587 - [c43]Rita Ammanouil, André Ferrari, Cédric Richard, Jean-Yves Tourneret:
Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions. SSP 2016: 1-5 - [i6]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Diffusion LMS for Multitask Problems with Local Linear Equality Constraints. CoRR abs/1610.02943 (2016) - 2015
- [c42]Antony Schutz, André Ferrari, David Mary, Éric Thiébaut, Ferréol Soulez:
Large scale 3D image reconstruction in optical interferometry. EUSIPCO 2015: 474-478 - [c41]Rita Ammanouil, André Ferrari, Cédric Richard:
A graph Laplacian regularization for hyperspectral data unmixing. ICASSP 2015: 1637-1641 - [c40]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Multitask diffusion LMS with sparsity-based regularization. ICASSP 2015: 3516-3520 - [c39]Rita Ammanouil, André Ferrari, Cédric Richard:
Hyperspectral data unmixing with graph-based regularization. WHISPERS 2015: 1-4 - [i5]André Ferrari, David Mary, Rémi Flamary, Cédric Richard:
Distributed image reconstruction for very large arrays in radio astronomy. CoRR abs/1507.00501 (2015) - [i4]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Proximal Multitask Learning over Networks with Sparsity-inducing Coregularization. CoRR abs/1509.01360 (2015) - 2014
- [j13]Rita Ammanouil, André Ferrari, Cédric Richard, David Mary:
Blind and Fully Constrained Unmixing of Hyperspectral Images. IEEE Trans. Image Process. 23(12): 5510-5518 (2014) - [j12]Raja Fazliza Raja Suleiman, David Mary, André Ferrari:
Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios. IEEE Trans. Signal Process. 62(22): 5973-5986 (2014) - [c38]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Performance analysis of multitask diffusion adaptation over asynchronous networks. ACSSC 2014: 788-792 - [c37]Raja Fazliza Raja Suleiman, David Mary, André Ferrari:
Subspace learning in minimax detection. ICASSP 2014: 3062-3066 - [c36]David Mary, André Ferrari, Silvia Paris:
Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument. ICIP 2014: 6031-6035 - [c35]André Ferrari, David Mary, Rémi Flamary, Cédric Richard:
Distributed image reconstruction for very large arrays in radio astronomy. SAM 2014: 389-392 - [c34]David Mary, André Ferrari:
A non-asymptotic standardization of binomial counts in Higher Criticism. ISIT 2014: 561-565 - [c33]Rita Ammanouil, André Ferrari, Cédric Richard, David Mary:
GLUP: Yet another algorithm for blind unmixing of hyperspectral data. WHISPERS 2014: 1-4 - [i3]Antony Schutz, André Ferrari, David Mary, Ferréol Soulez, Éric Thiébaut, Martin Vannier:
PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry. CoRR abs/1407.1885 (2014) - [i2]Rita Ammanouil, André Ferrari, Cédric Richard:
A graph Laplacian regularization for hyperspectral data unmixing. CoRR abs/1410.3699 (2014) - [i1]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Multitask diffusion adaptation over asynchronous networks. CoRR abs/1412.1798 (2014) - 2013
- [j11]Silvia Paris, David Mary, André Ferrari:
Detection Tests Using Sparse Models, With Application to Hyperspectral Data. IEEE Trans. Signal Process. 61(6): 1481-1494 (2013) - [c32]Jie Chen, Cédric Richard, André Ferrari, Paul Honeine:
Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. ICASSP 2013: 2174-2178 - [c31]Petar M. Djuric, André Ferrari:
Models with products of Dirichlet processes. ICASSP 2013: 3382-3386 - [c30]Silvia Paris, Raja Fazliza Raja Suleiman, David Mary, André Ferrari:
Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data. ICASSP 2013: 3947-3951 - [c29]Raja Fazliza Raja Suleiman, David Mary, André Ferrari:
Minimax sparse detection based on one-class classifiers. ICASSP 2013: 5553-5557 - 2012
- [c28]Petar M. Djuric, André Ferrari:
Classification of multivariate data using Dirichlet process mixture models. ACSCC 2012: 441-445 - [c27]Andrea Abelli, André Ferrari, Salvatore Monaco, Cédric Richard:
Adaptive inverse control using kernel identification. ACC 2012: 202-207 - 2011
- [j10]Patrick Flandrin, Cédric Richard, Pierre-Olivier Amblard, Pierre Borgnat, Paul Honeine, Hassan Amoud, André Ferrari, Jun Xiao, Azadeh Moghtaderi, Pepa Ramírez-Cobo:
Stationnarité relative et approches connexes. Traitement du Signal 28(6): 691-716 (2011) - [c26]Silvia Paris, David Mary, André Ferrari:
PDR and LRMAP detection tests applied to massive hyperspectral data. CAMSAP 2011: 93-96 - [c25]Silvia Paris, David Mary, André Ferrari, Sébastien Bourguignon:
Sparsity-based composite detection tests. application to astrophysical hyperspectral data. EUSIPCO 2011: 1909-1913 - [c24]Pierre Borgnat, Patrick Flandrin, André Ferrari, Cédric Richard:
Transitional surrogates. ICASSP 2011: 3600-3603 - 2010
- [c23]Isabelle Smith, André Ferrari:
Bayesian detection with the posterior distribution of the likelihood ratio. EUSIPCO 2010: 144-148 - [c22]Cédric Richard, André Ferrari, Hassan Amoud, Paul Honeine, Patrick Flandrin, Pierre Borgnat:
Statistical hypothesis testing with time-frequency surrogates to check signal stationarity. ICASSP 2010: 3666-3669
2000 – 2009
- 2009
- [j9]Isabelle Smith, André Ferrari, Marcel Carbillet:
Detection of a Moving Source in Speckle Noise. Application to Exoplanet Detection. IEEE Trans. Signal Process. 57(3): 904-915 (2009) - [c21]Isabelle Smith, André Ferrari:
Detection from a multi-channel sensor using a hierarchical Bayesian model. ICASSP 2009: 2897-2900 - 2008
- [c20]Isabelle Smith, André Ferrari, Marcel Carbillet:
Detection and performance analysis for a moving point source in speckle noise, application to exoplanet detection by direct imaging. ICASSP 2008: 3661-3664 - 2007
- [j8]Florent Chatelain, Jean-Yves Tourneret, Jordi Inglada, André Ferrari:
Bivariate Gamma Distributions for Image Registration and Change Detection. IEEE Trans. Image Process. 16(7): 1796-1806 (2007) - 2006
- [c19]Florent Chatelain, Jean-Yves Tourneret, Jordi Inglada, André Ferrari:
Parameter estimation for multivariate gamma distributions. EUSIPCO 2006: 1-4 - [c18]Florent Chatelain, André Ferrari, Jean-Yves Tourneret:
Parameter Estimation for Multivariate Mixed Poisson Distributions. ICASSP (3) 2006: 684-687 - 2004
- [j7]Jean-Yves Tourneret, André Ferrari, Ananthram Swami:
Cramer-Rao lower bounds for change points in additive and multiplicative noise. Signal Process. 84(7): 1071-1088 (2004) - [c17]André Ferrari, Gérard Letac, Jean-Yves Tourneret:
Multivariate mixed poisson distributions. EUSIPCO 2004: 1067-1070 - [c16]André Ferrari, Jean-Yves Tourneret:
Detection performance for discrete test statistics. Application to low-flux imagery. ICASSP (2) 2004: 1069-1072 - 2002
- [j6]André Ferrari, Jean-Yves Tourneret, Gérard Alengrin:
Parametric modeling of photometric signals. Signal Process. 82(4): 649-661 (2002) - [c15]Y. Cavallin, André Ferrari, H. Lanteri:
Spectral modes estimation using Whittle-type criterion. Application to stellar speckle interferometry. EUSIPCO 2002: 1-4 - [c14]André Ferrari, Y. Cavallin:
Extension of Whittle likelihood to transient signal parameters estimation. Application to stellar speckle interferometry. EUSIPCO 2002: 1-4 - [c13]Jean-Yves Tourneret, André Ferrari, Gérard Letac:
Changepoint detection in multivariate Poisson distributions. ICASSP 2002: 1573-1576 - 2001
- [j5]Céline Theys, André Ferrari, Michelle Vieira:
Marginal Bayesian analysis of polynomial-phase signals. Signal Process. 81(1): 69-82 (2001) - 2000
- [c12]André Ferrari, Jean-Yves Tourneret:
Statistical analysis of a parametric model for photometric signals. EUSIPCO 2000: 1-4 - [c11]Jean-Yves Tourneret, André Ferrari:
Cramer-Rao lower bounds for abrupt change parameters in additive and multiplicative noise. ICASSP 2000: 285-288
1990 – 1999
- 1999
- [c10]André Ferrari, Jean-Yves Tourneret, François-Xavier Schmider:
Detection of extra solar planets using parametric modeling. ICASSP 1999: 1369-1372 - 1997
- [c9]Céline Theys, Michelle Vieira, André Ferrari:
Bayesian estimation of the parameters of a polynomial phase signal using MCMC methods. ICASSP 1997: 3553-3556 - [c8]André Ferrari, Jean-Yves Tourneret, Gérard Alengrin:
Spectral estimation of a Gaussian signal sampled with jitter. ICASSP 1997: 3977-3980 - 1996
- [j4]André Ferrari, Céline Theys, Gérard Alengrin:
Polynomial-phase signal analysis using stationary moments. Signal Process. 54(3): 239-248 (1996) - [c7]André Ferrari, Céline Theys, Gérard Alengrin:
Stationary moments of a polynomial phase signal, application to parameter estimation. EUSIPCO 1996: 1-4 - [c6]Céline Theys, André Ferrari, Gérard Alengrin:
Detection and estimation of changes in a polynomial-phase signal using the DPPT. EUSIPCO 1996: 1-4 - 1995
- [c5]André Ferrari, R. Lorion, Gérard Alengrin:
A parametric model for the quadratic sampling of a bandlimited signal. ICASSP 1995: 1721-1724 - 1994
- [j3]André Ferrari, Gérard Alengrin:
High-order ergodicity of a complex harmonic process. IEEE Trans. Inf. Theory 40(4): 1228-1229 (1994) - 1993
- [c4]Christophe Bérenguer, Céline Theys, André Ferrari, Gérard Alengrin:
Overdetermined noise compensation without eigendecomposition for frequency estimation. ICASSP (4) 1993: 248-251 - 1992
- [j2]André Ferrari, Gérard Alengrin, Thierry Pitarque:
Improvements of a state-space iterative noise reduction algorithm for harmonic retrieval. IEEE Trans. Signal Process. 40(5): 1263-1266 (1992) - [c3]André Ferrari, Gérard Alengrin, Céline Theys:
Estimation of the fundamental frequency of a noisy sum of cisoids with harmonic related frequencies. ICASSP 1992: 517-520 - 1991
- [j1]Thierry Pitarque, Gérard Alengrin, André Ferrari, Jean Menez:
A new state space algorithm for computing the frequencies of sinusoids in white noise. Signal Process. 22(3): 231-238 (1991) - [c2]André Ferrari, Gérard Alengrin:
Estimation of the frequencies of a complex sinusoidal noisy signal using fourth order statistics. ICASSP 1991: 3457-3460 - 1990
- [c1]Thierry Pitarque, Gérard Alengrin, André Ferrari:
Spectral estimation methods avoiding eigenvector decomposition. ICASSP 1990: 2547-2550
Coauthor Index
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