Detection and localization of an anomaly from noisy projections. - Lionel Fillatre; Igor V. Nikiforov (ISIT, 2004)

A Statistical Detection of an Anomaly from a Few Noisy Tomographic Projections. - Lionel Fillatre; Igor V. Nikiforov (EURASIP J. Adv. Signal Process., 2005)

ε-Optimal Anomaly Detection in Parametric Tomography. - Lionel Fillatre; Igor V. Nikiforov; Florent Retraint (ICASSP (3), 2006)

A Simple Algorithm for Defect Detection From a Few Radiographies. - Lionel Fillatre; Igor V. Nikiforov; Florent Retraint (J. Comput., 2007)

Non-Bayesian Detection and Detectability of Anomalies From a Few Noisy Tomographic Projections. - Lionel Fillatre; Igor V. Nikiforov (IEEE Trans. Signal Process., 2007)

Optimal volume anomaly detection in network traffic flows. - Lionel Fillatre; Igor V. Nikiforov; Pedro Casas; Sandrine Vaton (EUSIPCO, 2008)

Volume Anomaly Detection in Data Networks: An Optimal Detection Algorithm vs. the PCA Approach. - Pedro Casas; Lionel Fillatre; Sandrine Vaton; Igor V. Nikiforov (FITraMEn, 2008)

Anomaly detection with bounded nuisance parameters and safe train navigation. - Fouzi Harrou; Lionel Fillatre; Igor V. Nikiforov (ICARCV, 2008)

Multi Hour Robust Routing and Fast Load Change Detection for Traffic Engineering. - Pedro Casas; Lionel Fillatre; Sandrine Vaton (ICC, 2008)

varepsilon -Optimal Non-Bayesian Anomaly Detection for Parametric Tomography. - Lionel Fillatre; Igor V. Nikiforov; Florent Retraint (IEEE Trans. Image Process., 2008)

Efficient methods for traffic matrix modeling and on-line estimation in large-scale IP networks. - Pedro Casas; Sandrine Vaton; Lionel Fillatre; Thierry Chonavel (ITC, 2009)

Optimal volume anomaly detection and isolation in large-scale IP networks using coarse-grained measurements. - Pedro Casas; Sandrine Vaton; Lionel Fillatre; Igor V. Nikiforov (Comput. Networks, 2010)

An optimal filtering for unmasked noise prevention. - Asmaa Amehraye; Lionel Fillatre; Dominique Pastor (ICASSP, 2011)

A new criterion for optimal constrained minimax detection and classification. - Lionel Fillatre; Igor V. Nikiforov (ICASSP, 2011)

A Cover Image Model For Reliable Steganalysis. - Rémi Cogranne; Cathel Zitzmann; Lionel Fillatre; Florent Retraint; Igor V. Nikiforov; Philippe Cornu (Information Hiding, 2011)

Statistical Decision Methods in Hidden Information Detection. - Cathel Zitzmann; Rémi Cogranne; Florent Retraint; Igor V. Nikiforov; Lionel Fillatre; Philippe Cornu (Information Hiding, 2011)

Statistical decision by using quantized observations. - Rémi Cogranne; Cathel Zitzmann; Lionel Fillatre; Florent Retraint; Igor V. Nikiforov; Philippe Cornu (ISIT, 2011)

Constrained epsilon-equalizer test for multiple hypothesis testing. - Lionel Fillatre (ISIT, 2011)

A Semi-Markovian Individual Model of Users for P2P Video Streaming Applications. - Grégory Bonnet; Ihsan Ullah 001; Guillaume Doyen; Lionel Fillatre; Dominique Gaïti; Igor V. Nikiforov (NTMS, 2011)

Reactive Robust Routing: Anomaly Localization and Routing Reconfiguration for Dynamic Networks. - Pedro Casas; Lionel Fillatre; Sandrine Vaton; Igor V. Nikiforov (J. Netw. Syst. Manag., 2011)

Constrained Epsilon-Minimax Test for Simultaneous Detection and Classification. - Lionel Fillatre (IEEE Trans. Inf. Theory, 2011)

Detecting an abrupt change of finite duration. - Blaise Kévin Guépié; Lionel Fillatre; Igor V. Nikiforov (ACSCC, 2012)

Statistical detection of information hiding based on adjacent pixels difference. - Rémi Cogranne; Cathel Zitzmann; Florent Retraint; Igor V. Nikiforov; Philippe Cornu; Lionel Fillatre (EUSIPCO, 2012)

A new approach for semiparametric detection. - Asmaa Amehraye; Lionel Fillatre (ICASSP, 2012)

Hidden information detection based on quantized Laplacian distribution. - Cathel Zitzmann; Rémi Cogranne; Lionel Fillatre; Igor V. Nikiforov; Florent Retraint; Philippe Cornu (ICASSP, 2012)

Statistical Detection of LSB Matching Using Hypothesis Testing Theory. - Rémi Cogranne; Cathel Zitzmann; Florent Retraint; Igor V. Nikiforov; Lionel Fillatre; Philippe Cornu (Information Hiding, 2012)

Statistical detection of LSB matching in the presence of nuisance parameters. - Rémi Cogranne; Cathel Zitzmann; Florent Retraint; Igor V. Nikiforov; Lionel Fillatre; Philippe Cornu (SSP, 2012)

Adaptive Steganalysis of Least Significant Bit Replacement in Grayscale Natural Images. - Lionel Fillatre (IEEE Trans. Signal Process., 2012)

Asymptotically Uniformly Minimax Detection and Isolation in Network Monitoring. - Lionel Fillatre; Igor V. Nikiforov (IEEE Trans. Signal Process., 2012)

Bayesian Test for Multiple Hypothesis Testing Problem with Quadratic Loss. - Jian Zhang 030; Lionel Fillatre; Igor V. Nikiforov (ALCOSP, 2013)

Statistical detection of abnormal ozone measurements based on Constrained Generalized Likelihood Ratio test. - Fouzi Harrou; Lionel Fillatre; Michel Bobbia; Igor V. Nikiforov (CDC, 2013)

Voice activity detection based on a statistical semiparametric test. - Asmaa Amehraye; Lionel Fillatre; Nicholas W. D. Evans (ICASSP, 2013)

Impact of the Railway Centerline Geometry Uncertainties on the Train Velocity Estimation by GPS. - Guoliang Zhu; Lionel Fillatre; Igor V. Nikiforov (PSATS, 2013)

A statistical method for detecting cyber/physical attacks on SCADA systems. - Van Long Do; Lionel Fillatre; Igor V. Nikiforov (CCA, 2014)

Uniformly most powerful detection for integrate and fire time encoding. - Lionel Fillatre; Igor V. Nikiforov; Marc Antonini; Abdourrahmane M. Atto (EUSIPCO, 2014)

On the epsilon-optimal discrimination of two one-dimensional subspaces. - Lionel Fillatre (ICASSP, 2014)

Simulation of image time series from dynamical fractional brownian fields. - Abdourrahmane M. Atto; Lionel Fillatre; Marc Antonini; Igor V. Nikiforov (ICIP, 2014)

Uniformly minimum variance unbiased estimation for asynchronous event-based cameras. - Lionel Fillatre; Marc Antonini (ICIP, 2014)

Hybrid weighted-stego detection using machine learning. - Lionel Fillatre; Muriel Dumontet; Wafa Bel Haj Ali; Marc Antonini; Michel Barlaud (ICIP, 2014)

Anomaly detection/detectability for a linear model with a bounded nuisance parameter. - Fouzi Harrou; Lionel Fillatre; Igor V. Nikiforov (Annu. Rev. Control., 2014)

Hidden information detection using decision theory and quantized samples: Methodology, difficulties and results. - Rémi Cogranne; Florent Retraint; Cathel Zitzmann; Igor V. Nikiforov; Lionel Fillatre; Philippe Cornu (Digit. Signal Process., 2014)

A local adaptive model of natural images for almost optimal detection of hidden data. - Rémi Cogranne; Cathel Zitzmann; Florent Retraint; Igor V. Nikiforov; Philippe Cornu; Lionel Fillatre (Signal Process., 2014)

On the Epsilon Most Stringent Test Between Two Vector Lines in Gaussian Noise. - Lionel Fillatre (IEEE Trans. Signal Process., 2014)

Event-based coding of still images using a bio-inspired frame. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Julien Gaulmin (EBCCSP, 2015)

Sensitivity analysis of the sequential test for detecting cyber-physical attacks. - Van Long Do; Lionel Fillatre; Igor V. Nikiforov (EUSIPCO, 2015)

Video analysis and synthesis based on a retinal-inspired frame. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Julien Gaulmin (EUSIPCO, 2015)

Bayes classification for asynchronous event-based cameras. - Lionel Fillatre (EUSIPCO, 2015)

Retinal-inspired filtering for dynamic image coding. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Julien Gaulmin (ICIP, 2015)

Retina-inspired video codec. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Julien Gaulmin (PCS, 2016)

Learning-based epsilon most stringent test for Gaussian samples classification. - Lionel Fillatre; Igor V. Nikiforov (ISIT, 2017)

Bayesian localization of anomaly in distributed networks with quadratic criterion. - Jian Zhang 030; Lionel Fillatre; Igor V. Nikiforov (J. Intell. Fuzzy Syst., 2017)

Constructive minimax classification of discrete observations with arbitrary loss function. - Lionel Fillatre (Signal Process., 2017)

Detecting a Suddenly Arriving Dynamic Profile of Finite Duration. - Blaise Kévin Guépié; Lionel Fillatre; Igor V. Nikiforov (IEEE Trans. Inf. Theory, 2017)

Classification and Regression Using an Outer Approximation Projection-Gradient Method. - Michel Barlaud; Wafa Belhajali; Patrick L. Combettes; Lionel Fillatre (IEEE Trans. Signal Process., 2017)

Neuro-Inspired Quantization. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Julien Gaulmin (ICIP, 2018)

Retina-Inspired Filter. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Julien Gaulmin (IEEE Trans. Image Process., 2018)

Efficiency of the bio-inspired Leaky Integrate-and-Fire neuron for signal coding. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini (EUSIPCO, 2019)

Minimax Classifier with Box Constraint on the Priors. - Cyprien Gilet; Susana Barbosa; Lionel Fillatre (ML4H@NeurIPS, 2019)

A filtered bucket-clustering method for projection onto the simplex and the ℓ 1 ball. - Guillaume Perez; Michel Barlaud; Lionel Fillatre; Jean-Charles Régin (Math. Program., 2020)

Classification Error Approximation of a Compressed Linear Softmax Layer. - Diana Resmerita; Rodrigo Cabral Farias; Lionel Fillatre (EUSIPCO, 2021)

Distortion Approximation of a Compressed Softmax Layer. - Diana Resmerita; Rodrigo Cabral Farias; Benoît Dupont de Dinechin; Lionel Fillatre (SSP, 2021)

Dynamic Image Quantization Using Leaky Integrate-and-Fire Neurons. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Panagiotis Tsakalides (IEEE Trans. Image Process., 2021)

Discrete Box-Constrained Minimax Classifier for Uncertain and Imbalanced Class Proportions. - Cyprien Gilet; Susana Barbosa; Lionel Fillatre (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Multiclass Minimax Learning for Deep Neural Networks. - Cyprien Gilet; Marie Guyomard; Susana Barbosa; Lionel Fillatre (EUSIPCO, 2023)

Understandable Relu Neural Network For Signal Classification. - Marie Guyomard; Susana Barbosa; Lionel Fillatre (ICASSP, 2023)

Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network. - Marie Guyomard; Susana Barbosa; Lionel Fillatre (ICML, 2023)

Non-linear Logistic Regression applied to Radiomics. - Baptiste Schall; Rodolphe Anty; Lionel Fillatre (EMBC, 2024)

One-Hot Logistic Regression for Radiomics-Based Classification. - Baptiste Schall; Rodolphe Anty; Lionel Fillatre (ICIP, 2024)

Softmin discrete minimax classifier for imbalanced classes and prior probability shifts. - Cyprien Gilet; Marie Guyomard; Sébastien Destercke; Lionel Fillatre (Mach. Learn., 2024)

Optimal One-hot Logistic Regression for Tree-based Distribution Classification. - Baptiste Schall; Rodolphe Anty; Lionel Fillatre (ICASSP, 2025)