Florent CHATELAIN

Florent CHATELAIN

Florent CHATELAIN

Titulaire d'une HDR obtenue en 2025

Personnel G-INP Permanent
Estimation/detection problems and large-scale applications

Site Ampère

Bureau : B372

Téléphone : 04 76 57 43 71

Biographie

(à compléter)

Publications / Travaux


90 documents

Articles dans une revue23 documents

  • Rémi Julo, Mickaël Bonnefoy, Florent Chatelain, Olivier Flasseur, Olivier J.J. Michel, et al.. Stellar halo subtraction alternative for accreting companions’ characterization with integral field spectroscopy. Astronomy & Astrophysics – A&A, 2025, 703, pp.A205. ⟨10.1051/0004-6361/202453231⟩. ⟨hal-05331775⟩
  • Hugo Lebeau, Florent Chatelain, Romain Couillet. A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation. Journal of Machine Learning Research, 2025, 26 (7), pp.1-64. ⟨hal-04673321v2⟩
  • Hugo Lebeau, Florent Chatelain, Romain Couillet. Asymptotic Gaussian Fluctuations of Eigenvectors in Spectral Clustering. IEEE Signal Processing Letters, 2024, 31, pp.1920-1924. ⟨10.1109/LSP.2024.3422886⟩. ⟨hal-04673319⟩
  • Rémy Jardillier, Dzenis Koca, Florent Chatelain, Laurent Guyon. Optimal microRNA Sequencing Depth to Predict Cancer Patient Survival with Random Forest and Cox Models. Genes, 2022, 13 (12), pp.2275. ⟨10.3390/genes13122275⟩. ⟨hal-04292013⟩
  • Rémy Jardillier, Dzenis Koca, Florent Chatelain, Laurent Guyon. Prognosis of lasso-like penalized Cox models with tumor profiling improves prediction over clinical data alone and benefits from bi-dimensional pre-screening. BMC Cancer, 2022, 22 (1), pp.1045. ⟨10.1186/s12885-022-10117-1⟩. ⟨hal-04291808⟩
  • Guillaume Bruand, Florent Chatelain, Pierre Granjon, Nadine Martin, Christophe Duret. Reconstructing shaft orbit using angle measurement to detect bearing faults. Mechanical Systems and Signal Processing, 2020, 139, pp.106561. ⟨10.1016/j.ymssp.2019.106561⟩. ⟨hal-02408146⟩
  • Rémy Jardillier, Florent Chatelain, Laurent Guyon. Bioinformatics Methods to Select Prognostic Biomarker Genes from Large Scale Datasets: A Review. Biotechnology Journal, 2018, 13 (12), pp.1800103. ⟨10.1002/biot.201800103⟩. ⟨hal-02078995⟩
  • Raphael Bacher, Céline Meillier, Florent Chatelain, Olivier J.J. Michel. Robust control of varying weak hyperspectral target detection with sparse non-negative representation. IEEE Transactions on Signal Processing, 2017, 65 (13), pp.3538-3550. ⟨10.1109/TSP.2017.2688965⟩. ⟨hal-01496201⟩
  • Nicolas Le Bihan, Florent Chatelain, Jonathan Manton. Isotropic Multiple Scattering Processes on Hyperspheres. IEEE Transactions on Information Theory, 2016, 62 (10), pp.5740-5752. ⟨10.1109/TIT.2015.2508932⟩. ⟨hal-01322340⟩
  • Flore Harlé, Florent Chatelain, Cedric Gouy-Pailler, Sophie Achard. Bayesian Model for Multiple Change-Points Detection in Multivariate Time Series. IEEE Transactions on Signal Processing, 2016, 64 (16), pp.4351-4362. ⟨10.1109/TSP.2016.2566609⟩. ⟨hal-01394735⟩
  • Thanh Trung Le, Florent Chatelain, Christophe Bérenguer. Multi-branch hidden Markov models for remaining useful life estimation of systems under multiple deterioration modes. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2016, 230 (5), pp.473-484. ⟨10.1177/1748006X15624584⟩. ⟨hal-01260906⟩
  • Céline Meillier, Florent Chatelain, Olivier J.J. Michel, Roland Bacon, Laure Piqueras, et al.. SELFI: an object-based, Bayesian method for faint emission line source detection in MUSE deep field data cubes. Astronomy & Astrophysics – A&A, 2016, 588, pp.A140. ⟨10.1051/0004-6361/201527724⟩. ⟨hal-01322356⟩
  • Céline Meillier, Florent Chatelain, Olivier J.J. Michel, Hacheme Ayasso. Nonparametric Bayesian extraction of object configurations in massive data. IEEE Transactions on Signal Processing, 2015, 63 (8), pp.1911-1924. ⟨10.1109/TSP.2015.2403268⟩. ⟨hal-01129038⟩
  • Matthieu Sanquer, Florent Chatelain, Mabrouka El-Guedri, Nadine Martin. A Smooth Transition Model for Multiple-Regime Time Series. IEEE Transactions on Signal Processing, 2013, 61 (7), pp.1835-1847. ⟨10.1109/TSP.2012.2234745⟩. ⟨hal-00802304⟩
  • Philippe Bernardoff, Florent Chatelain, Jean-Yves Tourneret. Masses of negative multinomial distributions: Application to Polarimetric Image Processing. Journal of Probability and Statistics, 2013, vol. 2013, pp. 1-13. ⟨10.1155/2013/170967⟩. ⟨hal-01122575⟩
  • Saima Ben Hadj, Florent Chatelain, Xavier Descombes, Josiane Zerubia. Approche non supervisée par processus ponctuels marqués pour l’extraction d’objets à partir d’images aériennes et satellitaires. Revue Française de Photogrammétrie et de Télédétection, 2010, 194, pp.2-15. ⟨hal-00638665⟩
  • Florent Chatelain, Sophie Lambert-Lacroix, Jean-Yves Tourneret. Pairwise likelihood estimation for multivariate mixed Poisson models generated by Gamma intensities. Statistics and Computing, 2009, 19 (3), pp.283-301. ⟨10.1007/s11222-008-9092-9⟩. ⟨hal-00853135⟩
  • Florent Chatelain, André Ferrari, Jean-Yves Tourneret. Lois de Poisson mélangées multivariées : application à la détection en présence de speckles. Traitement du Signal, 2009, 26 (3), pp.227–238. ⟨10.3166/ts.26.227-238⟩. ⟨hal-00372288⟩
  • Florent Chatelain, Jean-Yves Tourneret, Muriel Roche, Mehdi Alouini. Estimating the polarization degree of polarimetric images in coherent illumination using maximum likelihood methods. Journal of the Optical Society of America. A Optics, Image Science, and Vision, 2009, 26 (6), pp.1348-1359. ⟨10.1364/JOSAA.26.001348⟩. ⟨hal-00475975⟩
  • Florent Chatelain, André Ferrari, Jean-Yves Tourneret. Detection in the Presence of Speckle Using Multivariate Mixed Poisson Distributions. Traitement du Signal, 2009, 26 (3), pp.227-238. ⟨hal-03476653⟩
  • Florent Chatelain, Jean-Yves Tourneret, Jordi Inglada. Change detection in multisensor SAR images using bivariate gamma distributions. IEEE Transactions on Image Processing, 2008, 1 (3), pp.249-258. ⟨10.1109/TIP.2008.916047⟩. ⟨hal-03579543⟩
  • Florent Chatelain, Jean-Yves Tourneret, Jordi Inglada, André Ferrari. Bivariate Gamma Distributions for Image Registration and Change Detection. IEEE Transactions on Image Processing, 2007, 16 (7), pp.1796-1806. ⟨10.1109/TIP.2007.896651⟩. ⟨hal-00474882⟩
  • Florent Chatelain, Jean-Yves Tourneret, Jordi Inglada, André Ferrari. Bivariate Gamma Distributions for Image Registration and Change Detection. IEEE Transactions on Image Processing, 2007, 1 (7), pp.1796-1806. ⟨10.1109/TIP.2007.896651⟩. ⟨hal-03593887⟩

Communications dans un congrès54 documents

  • Jalal Jouidi, Pierre Granjon, Florent Chatelain, Nicolas Le Bihan. Tracking in-plane waves on surfaces via analytic signal demodulation. EUSIPCO 2026 – 34th European Signal Processing Conference, Aug 2026, Bruges, Belgique. ⟨hal-05651743⟩
  • Jalal Jouidi, Pierre Granjon, Florent Chatelain, Nicolas Le Bihan. Suivi des ondes membranaires via le signal analytique 2D. GRETSI 2025 – XXXème Colloque Francophone de Traitement du Signal et des Images, Aug 2025, Strasbourg, France. ⟨hal-05396233⟩
  • Rémi Julo, Florent Chatelain, Mickaël Bonnefoy, Olivier J.J. Michel, Olivier Flasseur, et al.. Sources separation in hyperspectral images for protoplanets detection and characterization. EUSIPCO 2024 – 32nd European Signal Processing Conference, EURASIP : EURopean Association for SIgnal Processing, Aug 2024, Lyon, France. ⟨hal-04704517⟩
  • Quang Hùng Nguyen, Benoit Delinchant, Florent Chatelain. Machine learning driven parameter identification for grey-box thermal modelling for buildings. Building Simulation 2023 – 18th International IBPSA Conference and Exhibition, Sep 2023, Shanghai, China. ⟨hal-04244889⟩
  • Hugo Lebeau, Romain Couillet, Florent Chatelain. HOSVD Tronquée : Analyse d’une Approximation Tensorielle Rapide. GRETSI 2023 – XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI – Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France. ⟨hal-04141428⟩
  • Florent Chatelain, Julien Flamant, Nicolas Le Bihan. Algorithme proximal efficace pour l’approximation Hankel rang faible. GRETSI 2023 – XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI – Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.1073-1076. ⟨hal-04217832⟩
  • Sébastien Journé, Nicolas Le Bihan, Florent Chatelain, Julien Flamant. Polarized signal singular spectrum analysis with complex SSA. ICASSP 2023 – IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes Island, Greece. ⟨10.1109/ICASSP49357.2023.10095954⟩. ⟨hal-04104834⟩
  • Romain Couillet, Florent Chatelain, Nicolas Le Bihan. Compromis performance-complexité pour les statistiques en grande dimension. GRETSI 2022 – XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. pp.621-624. ⟨hal-03868290⟩
  • Simon Barthelme, Florent Chatelain, Clément Cascales, Cyril Herrier. Correction de dérive pour l’interférométrie de Mach-Zehnder. GRETSI 2022 – XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. ⟨hal-03738571⟩
  • Hugo Lebeau, Romain Couillet, Florent Chatelain. Une analyse par matrices aléatoires du clustering en ligne : comprendre l’impact des limitations en mémoire. GRETSI 2022 – XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. pp.1-4. ⟨hal-03756033⟩
  • Clément Cascales, Cyril Herrier, Thierry Livache, Simon Barthelme, Florent Chatelain. Propriétés statistiques des interféromètres de Mach-Zehnder à plusieurs sorties. GRETSI 2022 – XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. ⟨hal-04839061⟩
  • Hugo Lebeau, Romain Couillet, Florent Chatelain. A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources. ICML 2022 – 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States. pp.12253-12281. ⟨hal-03755939⟩
  • Romain Couillet, Florent Chatelain, Nicolas Le Bihan. Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering. PMLR 2021 – 38th International Conference on Machine Learning, Jul 2021, Virtual, United States. pp.2156-2165. ⟨hal-03376365⟩
  • Tayeb Zarrouk, Romain Couillet, Florent Chatelain, Nicolas Le Bihan. Performance-Complexity Trade-Off in Large Dimensional Statistics. MLSP 2020 – IEEE 30th International Workshop on Machine Learning for Signal Processing, Sep 2020, Espoo (virtual), Finland. ⟨10.1109/MLSP49062.2020.9231568⟩. ⟨hal-02961057⟩
  • Florent Chatelain, Nicolas Le Bihan. Exact Distribution and High-dimensional Asymptotics for Improperness Test of Complex Signals. ICASSP 2019 – IEEE International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom. pp.8509-8513, ⟨10.1109/ICASSP.2019.8683518⟩. ⟨hal-02148428⟩
  • Guillaume Bruand, Florent Chatelain, Pierre Granjon, Nadine Martin, Christophe Duret, et al.. Estimating the Rotational Synchronous Component from Instantaneous Angular Speed Signals in Variable Speed Conditions. CMMNO 2018 – International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, Jun 2018, Santander, Spain. ⟨hal-01761532⟩
  • Florent Chatelain, Nicolas Le Bihan, Jonathan Manton. Density estimation for compound Cox processes on hyperspheres. GSI 2017 – Geometric Science of Information, Nov 2017, Paris, France. ⟨hal-01655180⟩
  • Céline Meillier, Raphael Bacher, Florent Chatelain, Olivier J.J. Michel. Méthode de σ-clipping par point fixe pour l’estimation de la distribution sous H0 dans le cadre de tests multiples. GRETSI 2017 – XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France. ⟨hal-01563994⟩
  • Raphael Bacher, Florent Chatelain, Olivier J.J. Michel. Détection de cibles spatialement structurées sous contrôle global d’erreur. GRETSI 2017 – XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France. ⟨hal-01563996⟩
  • Raphael Bacher, Florent Chatelain, Olivier J.J. Michel. Global error control procedure for spatially structured targets. EUSIPCO 2017 – 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. ⟨hal-01563903⟩
  • Thanh Trung Le, Florent Chatelain, Christophe Bérenguer. Competing deterioration processes modeling and RUL estimation based on factorial hidden Markov models. MIMAR 2016 – 9th IMA International Conference on Modelling in Industrial Maintenance and Reliability, Institute of Mathematics and its Applications, Jul 2016, Londres, United Kingdom. pp.108-113. ⟨hal-01411405⟩
  • Raphael Bacher, Florent Chatelain, Olivier J.J. Michel. An adaptive robust regression method: Application to galaxy spectrum baseline estimation. ICASSP 2016 – 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2016, Shanghai, China. pp.4423 – 4427, ⟨10.1109/ICASSP.2016.7472513⟩. ⟨hal-01462974⟩
  • Céline Meillier, Florent Chatelain, Olivier J.J. Michel, Hacheme Ayasso. Contrôle des erreurs pour la détection d’événements rares et faibles dans des champs de données massifs. GRETSI 2015 – XXVème Colloque francophone de traitement du signal et des images, Sep 2015, Lyon, France. ⟨hal-01198721⟩
  • Raphael Bacher, Florent Chatelain, Laurent Guyon. Approche bayésienne non paramétrique pour l’imagerie de super-résolution PALM. GRETSI 2015 – XXVème Colloque francophone de traitement du signal et des images, Sep 2015, Lyon, France. ⟨hal-01463145⟩
  • Thanh Trung Le, Florent Chatelain, Christophe Bérenguer. Jump Markov Linear Systems for deterioration modeling and Remaining Useful Life estimation. ESREL 2015 – 25th European Safety and Reliability Conference, Sep 2015, Zurich, Switzerland. pp.1287-1295. ⟨hal-01237909⟩
  • Thanh Trung Le, Florent Chatelain, Christophe Bérenguer. Prognosis based on Multi-branch Hidden semi-Markov Models: A case study. SAFEPROCESS 2015 – 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, IFAC, Sep 2015, Paris, France. pp.91-96. ⟨hal-01237916⟩
  • Céline Meillier, Florent Chatelain, Olivier J.J. Michel, Hacheme Ayasso. Error control for the detection of rare and weak signatures in massive data. EUSIPCO 2015 – 23th European Signal Processing Conference, Aug 2015, Nice, France. ⟨hal-01198717⟩
  • Florent Chatelain, Nicolas Le Bihan, Jonathan Manton. Parameter estimation for multiple scattering process on the sphere. ICASSP 2015 – 40th IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2015, Brisbane, Australia. ⟨hal-01655153⟩
  • Thanh Trung Le, Christophe Bérenguer, Florent Chatelain. Multi-Branch Hidden Semi-Markov Modeling for RUL Prognosis. RAMS 2015 – Annual Reliability and Maintainability Symposium, Jan 2015, Palm Harbor, FL, United States. pp.122-128, ⟨10.1109/RAMS.2015.7105132⟩. ⟨hal-01084379⟩
  • Thanh Trung Le, Florent Chatelain, Christophe Bérenguer. Hidden Markov Models for diagnostics and prognostics of systems under multiple deterioration modes. ESREL 2014 – 24th European Safety and Reliability Conference, Sep 2014, Wroclaw, Poland. pp.1197-1204. ⟨hal-01027509⟩
  • Flore Harlé, Florent Chatelain, Cedric Gouy-Pailler, Sophie Achard. Rank-based multiple change-point detection in multivariate time series. EUSIPCO 2014 – 22th European Signal Processing Conference, Sep 2014, Lisbonne, Portugal. pp.1337-1341. ⟨cea-01844442⟩
  • Céline Meillier, Florent Chatelain, Olivier J.J. Michel, Hacheme Ayasso. Non-parametric Bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data. ICASSP 2014 – IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. pp.1905-1909. ⟨hal-00991388⟩
  • Matthieu Sanquer, Florent Chatelain, Mabrouka El-Guedri, Nadine Martin. Hierarchical Bayesian learning for electrical transient classification. ICASSP 2013 – 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. pp.s/n. ⟨hal-00845137⟩
  • Florent Chatelain, Nicolas Le Bihan. von Mises-Fisher approximation of multiple scattering process on the hypersphere. ICASSP 2013 – 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. ⟨hal-00865968⟩
  • Florent Chatelain, Aude Costard, Olivier J.J. Michel. Extraction de galaxies dans les données hyperspectrales MUSE : une approche objet non supervisée. GRETSI 2011 – XXIIIème Colloque francophone de traitement du signal et des images, Sep 2011, Bordeaux, France. ⟨hal-00639876⟩
  • Florent Chatelain, Sophie Achard, Cedric Gouy-Pailler, Olivier J.J. Michel, Pierre-Olivier Amblard. Graphe de connectivité cérébrale et longue dépendance. GRETSI 2011 – XXIIIème Colloque francophone de traitement du signal et des images, Sep 2011, Bordeaux, France. ⟨hal-00639898⟩
  • Matthieu Sanquer, Florent Chatelain, Mabrouka El-Guedri, Nadine Martin. Modèle polynomial par morceaux muni de transitions régulières – Application à la modélisation de signaux transitoires électriques. GRETSI 2011 – XXIIIème Colloque francophone de traitement du signal et des images, Sep 2011, Bordeaux, France. pp.s/n. ⟨hal-00609204⟩
  • Florent Chatelain, Sophie Achard, Olivier J.J. Michel, Cedric Gouy-Pailler. Multivariate approach for brain decomposable connectivity networks. SSP 2011 – 2011 IEEE Workshop on Statistical Signal Processing, Jun 2011, Nice, France. pp.817-820. ⟨hal-00639853⟩
  • Florent Chatelain, Aude Costard, Olivier J.J. Michel. A Bayesian marked point process for object detection. Application to MUSE hyperspectral data. ICASSP 2011 – IEEE International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.3628-­3631. ⟨hal-00639711⟩
  • Aude Costard, Florent Chatelain, Olivier J.J. Michel. A Bayesian marked point process for object detection. Application to MUSE hyperspectral data. ICASSP 2011 – IEEE International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.SPTM-L2.6. ⟨hal-00642152⟩
  • Matthieu Sanquer, Florent Chatelain, Mabrouka El-Guedri, Nadine Martin. A reversible jump MCMC algorithm for Bayesian curve fitting by using smooth transition regression models. ICASSP 2011 – IEEE International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.s/n. ⟨hal-00609133⟩
  • Saima Ben Hadj, Florent Chatelain, Xavier Descombes, Josiane Zerubia. Parameter estimation for a marked point process within a framework of multidimensional shape extraction from remote sensing images. ISPRS Technical Commission III Symposium on Photogrammetry Computer Vision and Image Analysis (PCV 2010), Sep 2010, Paris, France. pp.1. ⟨hal-00526345⟩
  • Matthieu Sanquer, Florent Chatelain, Mabrouka El-Guedri, Nadine Martin. Bayesian curve fitting for transient signals by using smooth transition regression models. CM 2010 – MFPT 2010 – 7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Jun 2010, Stratford-upon-Avon, United Kingdom. pp.n.c. ⟨hal-00511097⟩
  • Philippe Bernardoff, Florent Chatelain, Jean-Yves Tourneret. Masses des lois multinomiales négatives. Application au traitement d’images polarimétriques. SFdS 2010 – 42èmes Journées de Statistique, May 2010, Marseille, France. ⟨inria-00494739⟩
  • Réza Shirvany, Marie Chabert, Florent Chatelain, Jean-Yves Tourneret. Maximum likelihood estimation of the polarization degree from two multi-look intensity images. ICASSP 2010 – IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2010, Dallas, United States. pp.1198-1201. ⟨hal-00481814⟩
  • Florent Chatelain, Xavier Descombes, Josiane Zerubia. Estimation des paramètres de processus ponctuels marqués dans le cadre de l’extraction d’objets en imagerie de télédétection. GRETSI 2009 – XXIIème Colloque francophone de traitement du signal et des images, Sep 2009, Dijon, France. ⟨inria-00399258⟩
  • Florent Chatelain, Jean-Yves Tourneret, Nadine Martin. Multivariate Markovian gamma distributions for multitemporal sequences of SAR images. SSP 2009 – 2009 IEEE Workshop on Statistical Signal Processing, Aug 2009, Cardiff, United Kingdom. ⟨hal-00391770⟩
  • Florent Chatelain, Xavier Descombes, Josiane Zerubia. Parameter estimation for marked point processes. Application to object extraction from remote sensing images. EMMCVPR 2009 – 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, Aug 2009, Bonn, Germany. pp.221-234. ⟨hal-00391719⟩
  • Florent Chatelain. Using marked point processes for the change-point problem. CM 2009 – MFPT 2009 – 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Jun 2009, Dublin, Ireland. pp.n/a. ⟨hal-00372293⟩
  • Florent Chatelain, Pierre Borgnat, Jean-Yves Tourneret, Patrice Abry. Parameter estimation for sums of correlated gamma random variables. Application to anomaly detection in Internet Traffic. IEEE Int. Conf. on Acoust., Speech and Signal Proc. ICASSP-08, IEEE, Mar 2008, Las Vegas, United States. ⟨ensl-00290724⟩
  • Florent Chatelain, Jean-Yves Tourneret, Muriel Roche. Estimating the polarization degree of polarimetric images using Maximum likelihood methods. IEEE Statistical Signal Processing Workshop 2007,, Sep 2007, Madison, United States. ⟨hal-00165749⟩
  • F. Chatelain, Anthony Ferrari, Jean-Yves Tourneret. Parameter estimation for multivariate mixed poisson distributions. 2006, France. ⟨hal-00376802⟩
  • F. Chatelain, Jean-Yves Tourneret, J. Inglada, Anthony Ferrari. Parameter estimation for multivariate Gamma distributions, application to image registration. 2006, France. ⟨hal-00376404⟩
  • F. Chatelain, L. Desbat, J.F. Moreira, C. Amblard, Vincent Breton. SPECT/CT registration with the DCC and MC simulations for SPECT imaging. IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct 2004, Rome, Italy. ⟨in2p3-00023431⟩

Ouvrages (y compris édition critique et traduction)1 document

  • Florent Chatelain, Xavier Descombes, Florent Lafarge, Christian Lantuéjoul, Clement Mallet, et al.. Applications de la géometrie stochastique à l’analyse d’images. Xavier Descombes. Hermes Science-Lavoisier, pp.250, 2011, 978-2-7462-2145-1. ⟨hal-00793674⟩

Chapitres d’ouvrage4 documents

  • Raphael Bacher, Pierre Maho, Florent Chatelain, Olivier J.J. Michel. Tracking the Lyman alpha emission line in the CircumGalactic Medium in MUSE data. D. Mary; R. Flamary; C. Theys and C. Aime. Mathematical Tools for Instrumentation & Signal Processing in Astronomy, 78-79, EDP Sciences, pp.233-245, 2016, EAS Publications Series, 978-2-7598-9006-4. ⟨10.1051/eas/1678011⟩. ⟨hal-01503524⟩
  • Florent Chatelain. A Tutorial on Multiple Testing: False Discovery Control. Mathematical Tools for Instrumentation & Signal Processing in Astronomy, 78-79, pp.163-178, 2016, ⟨10.1051/eas/1678008⟩. ⟨hal-02079148⟩
  • Radu S. Stoica, Florent Chatelain, Marc Sigelle. Parametric Inference for Marked Point Processes in Image Analysis. X. Descombes. Stochastic Geometry for Image Analysis, Wiley, pp.113-159, 2012, Digital Signal and Image Processing Series. ⟨hal-00796020⟩
  • Radu Stoica, Florent Chatelain, Marc Sigelle. Inférence paramétrique pour les processus ponctuels marqués en analyse d’images. Xavier Descombes. Applications de la géométrie stochastique à l’analyse d’images, Hermes Science Publications, pp.103-143, 2011, Série Signal et Image, IC2. ⟨hal-00639697⟩

Brevets1 document

  • Florent Chatelain, Simon Barthelme, Clément Cascales, Pierre Maho, van Tri Nguyen, et al.. Compact calibrated interferometric characterisation system. France, Patent n° : WO2024052228 (A1). 2024. ⟨hal-04595339⟩

Pré-publications, Documents de travail2 documents

  • Rémy Jardillier, Dzenis Koca, Florent Chatelain, Laurent Guyon. Optimal microRNA sequencing depth to predict cancer patient survival with random forest and Cox models. 2023. ⟨hal-04291852⟩
  • Nicolas Le Bihan, Florent Chatelain, Jonathan H. Manton. Asymptotic regime for impropriety tests of complex random vectors. 2020. ⟨hal-03011919⟩

Rapports2 documents

  • Saima Ben Hadj, Florent Chatelain, Xavier Descombes, Josiane Zerubia. Estimation des paramètres de modèles de processus ponctuels marqués pour l’extraction d’objets en imagerie spatiale et aérienne haute résolution. [Rapport de recherche] RR-7350, INRIA. 2010, pp.81. ⟨inria-00508431⟩
  • Florent Chatelain, Sophie Lambert-Lacroix, Jean-Yves Tourneret. Composite likelihood estimation for multivariate mixed Poisson models generated by Gamma intensities. [Research Report] TR07014, Interuniversity Attraction Pole, Statistics network. 2007. ⟨hal-00853909⟩

Thèses1 document

  • Florent Chatelain. Lois Gamma multivariées pour le traitement d’images radar. Traitement du signal et de l’image [eess.SP]. Institut National Polytechnique (Toulouse), 2007. Français. ⟨NNT : 2007INPT025H⟩. ⟨tel-04601709⟩

Habilitations à diriger des recherches1 document

  • Florent Chatelain. Contributions à l’analyse des signaux en grande dimension. Traitement du signal et de l’image [eess.SP]. Université Grenoble – Alpes, 2025. ⟨tel-05408347⟩

Cours1 document

  • Mathieu Fauvel, Florent Chatelain. Introduction to Machine Learning – Data Classification. Doctoral. France. 2018. ⟨hal-04595846⟩

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11 rue des Mathématiques             

38402 Saint-Martin-d’Hères

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Lun – Ven : 7:30 – 19:00

Téléphone 33 (0)4 76 82 71 31

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La newsletter GIPSA-lab apporte des informations sur les activités et la vie du laboratoire (À venir).

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