Lionel Fillatre
Présentation
Domaines de recherche
Compétences
Publications
Publications
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A Lightweight CNN for Noise Source Detection in Bearing-Time Sonar imagesEUSIPCO 2025, Sep 2025, PALERMO, Italy |
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Approximation d'un Réseau de Neurones ReLU interprétable par une Régression Logistique à Noyau54es Journées de Statistique de la SFdS, Jul 2023, Bruxelles, Belgique |
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Régression logistique à base de splines adaptatives avec un réseau de neurones ReLUXXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France |
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Réseaux de Neurones Convolutifs avec Apprentissage Minimax pour des Proportions par classe incertaines et déséquilibréesORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France |
Classification Error Approximation of a Compressed Linear Softmax Layer2021 29th European Signal Processing Conference (EUSIPCO), Aug 2021, Dublin, Ireland. pp.1446-1450, ⟨10.23919/EUSIPCO54536.2021.9616015⟩ |
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Sur l'équivalence entre la régression logistique à base de splines et l'apprentissage profondCongrès des Jeunes Chercheuses et Chercheurs en Mathématiques Appliquées, Oct 2021, Palaiseau, France |
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Distortion Approximation of a Compressed Softmax Layer2021 IEEE Statistical Signal Processing Workshop (SSP), Jul 2021, Rio de Janeiro, Brazil. pp.491-495, ⟨10.1109/SSP49050.2021.9513733⟩ |
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Explainable Deep Learning Detection of Gaussian Propeller Noise with Unknown Signal-to-Noise Ratio2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), Oct 2021, Gold Coast, France. pp.1-6, ⟨10.1109/MLSP52302.2021.9596566⟩ |
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Apprentissage d’un classifieur Minimax-Regret pour données hétérogènes et priors incertains52emes Journées de Statistiques, Jun 2020, Nice, France |
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Benchmarking Alternative Floating-Point Formats for Deep Learning InferenceCOMPAS, 2020, Lyon, France |
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Adjusting Decision Trees for Uncertain Class ProportionsECML/PKDD 2020 Tutorial and Workshop on Uncertainty in Machine Learning, Sep 2020, Ghent, Belgium |
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Propeller Noise Detection with Deep LearningICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.306-310, ⟨10.1109/ICASSP40776.2020.9054024⟩ |
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Diagnostic non invasif de la NASH fibrosante à l’aide de l’intelligence artificielle87e Journées Scientifiques de l'AFEF, Oct 2020, Paris, France |
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Efficiency of the Bio-Inspired Leaky Integrate-and-Fire Neuron for Signal CodingEUSIPCO (27th European Signal Processing Conference), Sep 2019, Coruña, Spain |
Apprentissage d’un classifieur minimax pour données discrètes51emes Journées de Statistiques, Jun 2019, Nancy, France |
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Minimax Classifier with Box Constraint on the PriorsMachine Learning for Health (ML4H) at NeurIPS 2019, Dec 2019, Vancouver, Canada |
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Compression des réseaux de neurones profonds à base de quantification uniforme et non-uniformeOrasis 2019, May 2019, Saint-Dié-des-Vosges, France |
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Box-Constrained Optimization for Minimax Supervised Learning19th French-German-Swiss conference on Optimization, Sep 2019, Nice, France |
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Apprentissage d’un classifieur minimax pour données discrètesColloque GRETSI, Aug 2019, Lille, France |
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Anomaly Detection with Discrete Minimax Classifier for Imbalanced dataset or Uncertain Class Proportions2nd World Congress on Condition Monitoring 2019, Dec 2019, Singapore, Singapore |
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Compression des réseaux de neurones profonds à base de quantification uniforme et non-uniformeColloque GRETSI, Aug 2019, Lille, France |
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Apprentissage d'un classificateur minimax pour données discrètes51èmes Journées de Statistique, Jun 2019, Vandœuvre-lès-Nancy, France |
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Apprentissage Paramétrique d'un Classifieur de Neyman-Pearson50èmes Journées de Statistique, May 2018, Paris Saclay, France |
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NEURO-INSPIRED QUANTIZATION25th IEEE International Conference on Image Processing (ICIP 2018), Oct 2018, Athènes, Greece. pp.689-693, ⟨10.1109/ICIP.2018.8451793⟩ |
Learning-Based Epsilon Most Stringent Test for Gaussian Samples ClassificationIEEE International Symposium on Information Theory (ISIT), Jun 2017, Aachen, Germany |
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Sequential detection of transient changes (the case of dynamic profile)6th International Workshop in Sequential Methodologies, 2017, Rouen, France |
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Bayesian Test with Quadratic Criterion for Multiple Hypothesis Testing Problem2017 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), Dec 2017, Wuhan, China. pp.294-300, ⟨10.1109/ICIICII.2017.77⟩ |
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Bio-inspired quantizationXXVIeme Colloque GRETSI, Sep 2017, Juan-les-Pins, France |
Détection et Classification Minimax d'Observations Discrètes49ème Journées de Statistique, May 2017, Avignon, France |
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A filtered bucket-clustering method for Projection onto the Simplex and the l1 ballColloque GRETSI, Sep 2017, Juan-les-Pins, France |
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Apprentissage Statistique Optimal d'un Classifieur de Neyman-Pearson ParamétriqueColloque GRETSI, Sep 2017, Juan-les-Pins, France |
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Retina inspired Video CodecPicture Coding Symposium, Dec 2016, Nuremberg, Germany. ⟨10.1109/PCS.2016.7906309⟩ |
Sequential detection of cyber-physical attacks on industrial systemsJSM 2016 (Joint Statistical Meeting), Jul 2016, Chicago, United States |
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Sequential monitoring of SCADA systems against cyber/physical attacks9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS, 2015, Paris, France |
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Two sub-optimal algorithms for detecting cyber/physical attacks on SCADA systemsXth International Conference System Identification and Control Problems, SICPRO’15, Jan 2015, Moscow, Russia. pp.1144-1156 |
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Better Bounds for Bayesian Multiple Test with Quadratic Loss FunctionInternational Conference on Industrial Informatics-Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2015, Wuhan, China |
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Video analysis and synthesis based on a retinal-inspired frame23rd European Signal Processing Conference (EUSIPCO), 2015, Nice, France. pp.2226 - 2230, ⟨10.1109/EUSIPCO.2015.7362780⟩ |
Bayes classification for asynchronous event-based cameras23rd European Signal Processing Conference (EUSIPCO), 2015, Nice, France |
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Signal reconstruction from a bio-inspired event-based codeColloque GRETSI, 2015, Lyon, France |
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Event-based coding of still images using a bio-inspired frameInternational Conference on Event-based Control, Communication, and Signal Processing (EBCCSP), 2015, Krakow, Poland |
Sensitivity analysis of the sequential test for detecting cyber-physical attacks23rd European Signal Processing Conference (EUSIPCO), 2015, Nice, France. pp.2261-2265, ⟨10.1109/EUSIPCO.2015.7362787⟩ |
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Retinal-inspired filtering for dynamic image codingIEEE International Conference on Image Processing (ICIP), 2015, Québec City, Canada. pp.3505 - 3509, ⟨10.1109/ICIP.2015.7351456⟩ |
Hybrid weighted-stego detection using machine learningIEEE International Conference on Image Processing (ICIP), 2014, Paris, France |
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Uniformly most powerful detection for integrate and fire time encodingEuropean Signal Processing Conference (EUSIPCO), Sep 2014, Lisbon, Portugal |
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A statistical method for detecting cyber/physical attacks on SCADA systemsIEEE Conference on Control Applications (CCA), Oct 2014, Juan Les Pins, France. ⟨10.1109/CCA.2014.6981373⟩ |
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Uniformly minimum variance unbiased estimation for asynchronous event-based camerasIEEE International Conference on Image Processing (ICIP), 2014, Paris, France |
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Detection of contamination in water distribution networkAdvances in Hydroinformatics, 2012, Nice, France. ⟨10.1007/978-981-4451-42-0_12⟩ |
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Simulation of Image Time Series from Dynamical Fractional Brownian FieldsIEEE International Conference on Image Processing (ICIP), Oct 2014, Paris, France. pp.6086-6090, ⟨10.1109/ICIP.2014.7026228⟩ |
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Statistical detection of abnormal ozone measurements based on Constrained Generalized Likelihood Ratio testIEEE 52nd Annual Conference on Decision and Control (CDC), Dec 2013, Firenze, Italy. pp.4997-5002, ⟨10.1109/CDC.2013.6760673⟩ |
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Test Bayésien entre hypothèses multiples avec critère quadratiqueGRETSI 2013, Sep 2013, Brest, France |
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Impact of the Railway Centerline Geometry Uncertainties on the Train Velocity Estimation by GPS5th International Conference on Personal Satellite Services, Jun 2013, Toulouse, France. pp.156-161 |
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Sequential detection of transient changesThe 4th International Workshop in Sequential Methodologies, Jul 2013, Athens, United States |
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Bayesian Test for Multiple Hypothesis Testing Problem with Quadratic Loss11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, Jul 2013, Caen, France |
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Estimation of the train travelled distance, velocity and acceleration by using GPS signalsEuropean Navigation Conference 2013, Apr 2013, Vienna, Austria |
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Voice activity detection based on a statistical semiparametric testIEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. pp.6367-6371 |
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Improvement of trajectory-aided GNSS land navigation: precision and integrity of train positioningThe 7th International satellite navigation Forum, Apr 2013, Moscow, Russia |
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Statistical Detection of LSB Matching Using Hypothesis Testing Theory14th International Conference, IH 2012, May 2012, Berkeley, United States. pp.46-62, ⟨10.1007/978-3-642-36373-3_4⟩ |
Détection séquentielle d’un signal transitoire dynamique dans les systèmes à sécurité critiqueColloque GRETSI, 2013, Brest, France |
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Impact of the data uncertainties on the regression model: application to the trajectory-aided surface GNSS navigationGRETSI 2013, Sep 2013, Brest, France |
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Surveillance Continue d’Activité et Localisation d’AgressionsWorkshop Interdisciplinaire sur la Sécurité Globale (WISG), 2013, Troyes, France |
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Detection of contamination in water distribution network2nd International Conference SimHydro: New trends in simulation hydroinformatics and 3D modeling, 2012, Sophia-Antipolis, France |
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Statistical detection of LSB matching in the presence of nuisance parametersStatistical Signal Processing Workshop, 2012, Ann Arbor, United States. pp.912-915, ⟨10.1109/SSP.2012.6319857⟩ |
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Sequential Monitoring of Water Distribution Network16th IFAC Symposium on System Identification, Oct 2012, Brussels, Belgium. pp.392-397, ⟨10.3182/20120711-3-BE-2027.00114⟩ |
VigiRes'Eau : Surveiller un réseau de distribution d'eau potableWorkshop Interdisciplinaire sur la Sécurité Globale (WISG 2012), Jan 2012, Troyes, France |
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A new approach for semiparametric detectionIEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2012, Kyoto, Japan. pp.3949-3952, ⟨10.1109/ICASSP.2012.6288782⟩ |
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VigiRes'EauProc. 10th International Conference on Hydroinformatics, 2012, Hamburg, Germany |
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Hidden information detection based on quantized Laplacian distributionIEEE International Conference On Acoustics, Speech and Signal Processing (ICASSP), 2012, Kyoto, Japan. ⟨10.1109/ICASSP.2012.6288248⟩ |
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Statistical detection of information hiding based on adjacent pixels differenceEuropean Signal Processing Conference (EUSIPCO-2012), Aug 2012, Bucharest, Romania. pp.1737-1741 |
Detecting an abrupt change of finite durationConference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012, Pacific Grove, United States |
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Détection Optimale à base de Laplacienne quantifiéeXXIIIième colloque GRETSI, Sep 2011, Bordeaux, France |
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A Semi-Markovian Individual Model of Users for P2P Video Streaming ApplicationsProceedings of the 4th International Conference on New Technologies, Mobility and Security, Feb 2011, paris, France. pp.1-5 |
Statistical decision by using quantized observations2011 IEEE International Symposium on Information Theory - ISIT, Jul 2011, St. Petersburg, Russia. pp.1210-1214, ⟨10.1109/ISIT.2011.6033727⟩ |
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A new criterion for optimal constrained minimax detection and classificationIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, Prague, Czech Republic |
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Fault Detection and Isolation in Large-Scale IP NetworkIFAC World Congress, 2011, Milano, Italy |
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An optimal filtering for unmasked noise preventionICASSP: 36th international conference on acoustics speech and signal processing, May 2011, Prague, Czech Republic |
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Hypothesis testing by using quantized observations2011 IEEE Statistical Signal Processing Workshop (SSP), Jun 2011, Nice, France. pp.501-504, ⟨10.1109/SSP.2011.5967743⟩ |
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Méthodes statistiques de détection d'informations cachéesWorkshop Interdisciplinaire sur la sécurité Globale, Jan 2011, Troyes, France |
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Détection statistique d'anomalies et surveillance électronique mobileSurveillance, Sureté, Sécurité des Grands Systèmes, GIS-3SGS'11, Oct 2011, Valenciennes, France |
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Hypothesis testing by using quantized observations2011 IEEE Statistical Signal Processing Workshop (SSP), Jun 2011, Nice, France. pp.501-504, ⟨10.1109/SSP.2011.5967743⟩ |
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A Cover Image Model For Reliable Steganalysis13th International Conference, IH 2011, May 2011, Prague, Czech Republic. pp.163-177, ⟨10.1007/978-3-642-24178-9_13⟩ |
Statistical Decision Methods in Hidden Information Detection13th International Conference, IH 2011, May 2011, Prague, Czech Republic. pp.163-177, ⟨10.1007/978-3-642-24178-9_12⟩ |
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Détection Optimale d'Information Cachées Indépendante du Contenu des ImagesJournées codes et stéganographie, Jan 2011, Saint Cyr - Coëtquidan, France. pp.6 |
Sequential monitoring of water distribution networkInternational Workshop in Sequential Methodologies, Jun 2011, Stanford, United States |
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Détection quasi-optimale d'informations cachées basée sur un modèle local non-linéaireXXIIIième colloque GRETSI, Sep 2011, Bordeaux, France. pp.4 |
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Reliable detection of hidden information based on a non-linear local model2011 IEEE Statistical Signal Processing Workshop (SSP), Jun 2011, Nice, France. pp.493-496, ⟨10.1109/SSP.2011.5967740⟩ |
VigiRes'Eau : Surveillance en temps réel de la qualité de l'eau potable d'un réseau de distribution en vue de la détection d'intrusionsWorkshop Interdisciplinaire sur la Sécurité Globale (WISG 2013), Jan 2011, Troyes, France |
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Constrained epsilon-equalizer test for multiple hypothesis testingIEEE International Symposium on Information Theory Proceedings (ISIT), Jul 2011, St. Petersburg, Russia. pp.2994-2998 |
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Recherche d'Informations Cachées : la deuxième annéeWISG'10, Jan 2010, Troyes, France |
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Sequential decision procedures in networksFifth International Workshop in Applied Probability, Jul 2010, Colmenarejo, Spain |
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Modélisation des images naturelles pour la criminalistique numériqueWorkshop 3SGS, Sep 2010, Reims, France |
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Détection statistique dans un système linéaire avec des paramètres de nuisance bornésQualita 2009, Mar 2009, Besançon, France |
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Sequential detection and isolation of non-orthogonal alternativesInternational Workshop in Sequential Methodologies (IWSM) 2009, Jun 2009, Troyes, France |
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Recherche d'Informations Cachées : la première annéeWISG'09, Jan 2009, Troyes, France |
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Algorithms of real time automatic processing of three component seismograms8th International Conference on System Identification and Control Problems, Jan 2009, Moscow, Russia. pp.1019-1034 |
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Détection et localisation séquentielle d'anomalies non-orthogonalesGRETSI 2009, Sep 2009, Dijon, France |
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Volume anomaly detection in data networks : an optimal detection algorithm vs the PCA approachFITraMEn 2008, 2008, Porto, Portugal. pp.113, ⟨10.1007/978-3-642-04576-9⟩ |
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Bounded nuisance rejection and redundant sensor network8th International Conference on System Identification and Control Problems, Jan 2009, Moscow, Russia. pp.786-795 |
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Détection statistique de pics de pollution d'ozone au moyen d'un réseau de capteurCIRI 2009, May 2009, Reims, France |
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Fixed Size Sample Strategy for Change Detection and Isolation of Non-Orthogonal Faults7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes : SAFEPROCESS'09, Jun 2009, Barcelona, Spain. pp.283-288, ⟨10.3182/20090630-4-ES-2003.00047⟩ |
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Efficient methods for traffic matrix modeling and on-line estimation in large-scale IP networksITC'21 : 21st conference on International Teletraffic Congress, Sep 2009, Paris, France. pp.1-8 |
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Robust and reactive traffic engineering for dynamic traffic demandsNGI 2008: 4th EuroNGI Conference on Next Generation Internet Networks, May 2008, Krakow, Poland. pp.69-76, ⟨10.1109/NGI.2008.16⟩ |
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Multi hour robust routing and fast load change detectionICC 2008 : IEEE International Conference on Communications, May 2008, Beijing, China. pp.5777-5782, ⟨10.1109/ICC.2008.1081⟩ |
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Sequential non Bayesian network traffic flows anomaly detection and isolationIWAP 2008: International Workshop on Applied Probability, Jul 2008, Compiègne, France |
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Optimal volume anomaly detection in network traffic flowsEUSIPCO'08 : 16th European Signal Processing Conference, Aug 2008, Lausanne, Switzerland |
Anomaly detection with bounded nuisance parameters and safe train navigation2008 10th International Conference on Control, Automation, Robotics and Vision (ICARCV), Dec 2008, Hanoi, Vietnam. pp.1021-1026, ⟨10.1109/ICARCV.2008.4795659⟩ |
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Détection d'anomalies en présence de paramètres de nuisance bornés1er Workshop du Groupement d'Intérêt Scientifique « Surveillance, Sûreté, Sécurité des Grands Systèmes, 3SGS'08, Jun 2008, Troyes, France |
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Recherche d'informations cachéesWorkshop interdisciplinaire sur la securité globale, WISG'08, Jan 2008, Troyes, France |
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Sequential Non-Bayesian Change Detection-Isolation and Its Application to the Network Traffic Flows Anomaly Detection56th Session of the ISI, INTERNATIONAL STATISTICAL INSTITUTE, Aug 2007, Lisboa, Portugal |
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Détection-localisation séquentielle d'anomalies volumiques dans un réseauGRETSI 2007 : 21ème collloque sur le traitement du signal et des images, 11-14 septembre, Troyes, France, Sep 2007, Troyes, France |
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Epsilon-optimal anomaly detection in parametric tomographyIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2006, May 2006, Toulouse, France |
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ε-Optimal Anomaly Detection in Parametric Tomography2006 IEEE International Conference on Acoustics Speed and Signal Processing, May 2006, Toulouse, France. pp.III-277-III-280, ⟨10.1109/ICASSP.2006.1660644⟩ |
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A statistical detection scheme for radiographic inspectionEuropean Conference on Non-Destructive Testing 2006, Sep 2006, Berlin, Germany |
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Detectability of anomalies from a few noisy tomographic projections16th IFAC World Congress, Jul 2005, Prague, Czech Republic. pp.1029-1034, ⟨10.3182/20050703-6-CZ-1902.00173⟩ |
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RAIM performance in presence of multiple range failuresION NTM 2005, National Technical Meeting of The Institute of Navigation, Jan 2005, San Diego, United States. pp 779 - 791 |
Une approche asymptotique pour localiser une anomalie à partir d'un nombre limité de projectionsXXXVIèmes Journées de Statistique, May 2004, Montpellier, France |
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Detection and localization of an anomaly from noisy projectionsInternational Symposium onInformation Theory, 2004. ISIT 2004, Jun 2004, Chicago, United States. pp.550-550, ⟨10.1109/ISIT.2004.1365587⟩ |
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A statistical detection of an anomaly/target from noisy tomographic projections3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003, Sep 2003, Rome, Italy. pp.399-404, ⟨10.1109/ISPA.2003.1296930⟩ |
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A statistical detection of an anomaly/target from noisy tomographic projectionsCT-IP'03, Jun 2003, Berlin, Germany. pp.307-315 |
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Détection statistique d'une anomalie à partir de projections tomographiquesGRETSI'03, Sep 2003, Paris, France |
Underwater Target Classification with Explainable Deep Learning Architecture4ème édition du Soph.I.A. Summit, Nov 2021, Sophia Antipolis, France |
Anomaly Detection with Discrete Minimax Classifier for Imbalanced Dataset or Uncertain Class ProportionsAdvances in Condition Monitoring and Structural Health Monitoring, Springer Singapore, pp.179-187, 2021, Lecture Notes in Mechanical Engineering, ⟨10.1007/978-981-15-9199-0_17⟩ |
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Processing Solutions for Big Data in AstronomyEAS Publications Series. Mathematical Tools for Instrumentation & Signal Processing in Astronomy, 78-79, , pp.179-208, 2016 |
A method for differentially diagnosing in vitro a bipolar disorder and a major depressive disorderUnited States, Patent n° : US20210285967A1. 2021 |
Box-Constrained Minimax Classifier for Personalized Medicine2019 |
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Distributional Modelling of Event-Camera Streams via Hierarchical Interaction Learning2026 |
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Hierarchical Dictionary Learning for Binary Data via Information Decomposition2026 |
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AntoNet: a small linear contrast-enhancing CNN for pixel-wise detection2024 |
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Constrained Convex Neyman-Pearson Classification Using an Outer Approximation Splitting Method2015 |
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Applications de la théorie de la décision statistique à l'évaluation de la sécurité de stégosystèmes2012 |
Détection statistique précoce de bouchage total d'assemblage[Rapport Technique] GIS-CEA. 2012 |