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Lionel Fillatre
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2020 – today
- 2024
- [j22]Cyprien Gilet, Marie Guyomard, Sébastien Destercke, Lionel Fillatre:
Softmin discrete minimax classifier for imbalanced classes and prior probability shifts. Mach. Learn. 113(2): 605-645 (2024) - 2023
- [c45]Cyprien Gilet, Marie Guyomard, Susana Barbosa, Lionel Fillatre:
Multiclass Minimax Learning for Deep Neural Networks. EUSIPCO 2023: 1265-1269 - [c44]Marie Guyomard, Susana Barbosa, Lionel Fillatre:
Understandable Relu Neural Network For Signal Classification. ICASSP 2023: 1-5 - [c43]Marie Guyomard, Susana Barbosa, Lionel Fillatre:
Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network. ICML 2023: 12268-12291 - 2022
- [j21]Cyprien Gilet, Susana Barbosa, Lionel Fillatre:
Discrete Box-Constrained Minimax Classifier for Uncertain and Imbalanced Class Proportions. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2923-2937 (2022) - 2021
- [j20]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Panagiotis Tsakalides:
Dynamic Image Quantization Using Leaky Integrate-and-Fire Neurons. IEEE Trans. Image Process. 30: 4305-4315 (2021) - [c42]Diana Resmerita, Rodrigo Cabral Farias, Lionel Fillatre:
Classification Error Approximation of a Compressed Linear Softmax Layer. EUSIPCO 2021: 1446-1450 - [c41]Diana Resmerita, Rodrigo Cabral Farias, Benoît Dupont de Dinechin, Lionel Fillatre:
Distortion Approximation of a Compressed Softmax Layer. SSP 2021: 491-495 - [i1]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Retinal-inspired Filtering for Dynamic Image Coding. CoRR abs/2103.11716 (2021) - 2020
- [j19]Guillaume Perez, Michel Barlaud, Lionel Fillatre, Jean-Charles Régin:
A filtered bucket-clustering method for projection onto the simplex and the ℓ 1 ball. Math. Program. 182(1): 445-464 (2020)
2010 – 2019
- 2019
- [c40]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini:
Efficiency of the bio-inspired Leaky Integrate-and-Fire neuron for signal coding. EUSIPCO 2019: 1-5 - [c39]Cyprien Gilet, Susana Barbosa, Lionel Fillatre:
Minimax Classifier with Box Constraint on the Priors. ML4H@NeurIPS 2019: 66-80 - 2018
- [j18]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Retina-Inspired Filter. IEEE Trans. Image Process. 27(7): 3484-3499 (2018) - [c38]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Neuro-Inspired Quantization. ICIP 2018: 689-693 - 2017
- [j17]Jian Zhang, Lionel Fillatre, Igor V. Nikiforov:
Bayesian localization of anomaly in distributed networks with quadratic criterion. J. Intell. Fuzzy Syst. 32(5): 3595-3608 (2017) - [j16]Lionel Fillatre:
Constructive minimax classification of discrete observations with arbitrary loss function. Signal Process. 141: 322-330 (2017) - [j15]Blaise Kévin Guépié, Lionel Fillatre, Igor V. Nikiforov:
Detecting a Suddenly Arriving Dynamic Profile of Finite Duration. IEEE Trans. Inf. Theory 63(5): 3039-3052 (2017) - [j14]Michel Barlaud, Wafa Belhajali, Patrick L. Combettes, Lionel Fillatre:
Classification and Regression Using an Outer Approximation Projection-Gradient Method. IEEE Trans. Signal Process. 65(17): 4635-4644 (2017) - [c37]Lionel Fillatre, Igor V. Nikiforov:
Learning-based epsilon most stringent test for Gaussian samples classification. ISIT 2017: 1366-1370 - 2016
- [c36]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Retina-inspired video codec. PCS 2016: 1-5 - 2015
- [c35]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Event-based coding of still images using a bio-inspired frame. EBCCSP 2015: 1-8 - [c34]Lionel Fillatre:
Bayes classification for asynchronous event-based cameras. EUSIPCO 2015: 824-828 - [c33]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Video analysis and synthesis based on a retinal-inspired frame. EUSIPCO 2015: 2226-2230 - [c32]Van Long Do, Lionel Fillatre, Igor V. Nikiforov:
Sensitivity analysis of the sequential test for detecting cyber-physical attacks. EUSIPCO 2015: 2261-2265 - [c31]Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin:
Retinal-inspired filtering for dynamic image coding. ICIP 2015: 3505-3509 - 2014
- [j13]Fouzi Harrou, Lionel Fillatre, Igor V. Nikiforov:
Anomaly detection/detectability for a linear model with a bounded nuisance parameter. Annu. Rev. Control. 38(1): 32-44 (2014) - [j12]Rémi Cogranne, Florent Retraint, Cathel Zitzmann, Igor V. Nikiforov, Lionel Fillatre, Philippe Cornu:
Hidden information detection using decision theory and quantized samples: Methodology, difficulties and results. Digit. Signal Process. 24: 144-161 (2014) - [j11]Rémi Cogranne, Cathel Zitzmann, Florent Retraint, Igor V. Nikiforov, Philippe Cornu, Lionel Fillatre:
A local adaptive model of natural images for almost optimal detection of hidden data. Signal Process. 100: 169-185 (2014) - [j10]Lionel Fillatre:
On the Epsilon Most Stringent Test Between Two Vector Lines in Gaussian Noise. IEEE Trans. Signal Process. 62(19): 5196-5207 (2014) - [c30]Van Long Do, Lionel Fillatre, Igor V. Nikiforov:
A statistical method for detecting cyber/physical attacks on SCADA systems. CCA 2014: 364-369 - [c29]Lionel Fillatre, Igor V. Nikiforov, Marc Antonini, Abdourrahmane M. Atto:
Uniformly most powerful detection for integrate and fire time encoding. EUSIPCO 2014: 1103-1107 - [c28]Lionel Fillatre:
On the epsilon-optimal discrimination of two one-dimensional subspaces. ICASSP 2014: 3430-3434 - [c27]Lionel Fillatre, Marc Antonini:
Uniformly minimum variance unbiased estimation for asynchronous event-based cameras. ICIP 2014: 4107-4111 - [c26]Lionel Fillatre, Muriel Dumontet, Wafa Bel Haj Ali, Marc Antonini, Michel Barlaud:
Hybrid weighted-stego detection using machine learning. ICIP 2014: 4201-4205 - [c25]Abdourrahmane M. Atto, Lionel Fillatre, Marc Antonini, Igor V. Nikiforov:
Simulation of image time series from dynamical fractional brownian fields. ICIP 2014: 6086-6090 - 2013
- [c24]Jian Zhang, Lionel Fillatre, Igor V. Nikiforov:
Bayesian Test for Multiple Hypothesis Testing Problem with Quadratic Loss. ALCOSP 2013: 506-511 - [c23]Fouzi Harrou, Lionel Fillatre, Michel Bobbia, Igor V. Nikiforov:
Statistical detection of abnormal ozone measurements based on Constrained Generalized Likelihood Ratio test. CDC 2013: 4997-5002 - [c22]Asmaa Amehraye, Lionel Fillatre, Nicholas W. D. Evans:
Voice activity detection based on a statistical semiparametric test. ICASSP 2013: 6367-6371 - [c21]Guoliang Zhu, Lionel Fillatre, Igor V. Nikiforov:
Impact of the Railway Centerline Geometry Uncertainties on the Train Velocity Estimation by GPS. PSATS 2013: 156-161 - 2012
- [j9]Lionel Fillatre:
Adaptive Steganalysis of Least Significant Bit Replacement in Grayscale Natural Images. IEEE Trans. Signal Process. 60(2): 556-569 (2012) - [j8]Lionel Fillatre, Igor V. Nikiforov:
Asymptotically Uniformly Minimax Detection and Isolation in Network Monitoring. IEEE Trans. Signal Process. 60(7): 3357-3371 (2012) - [c20]Blaise Kévin Guépié, Lionel Fillatre, Igor V. Nikiforov:
Detecting an abrupt change of finite duration. ACSCC 2012: 1930-1934 - [c19]Rémi Cogranne, Cathel Zitzmann, Florent Retraint, Igor V. Nikiforov, Philippe Cornu, Lionel Fillatre:
Statistical detection of information hiding based on adjacent pixels difference. EUSIPCO 2012: 1737-1741 - [c18]Cathel Zitzmann, Rémi Cogranne, Lionel Fillatre, Igor V. Nikiforov, Florent Retraint, Philippe Cornu:
Hidden information detection based on quantized Laplacian distribution. ICASSP 2012: 1793-1796 - [c17]Asmaa Amehraye, Lionel Fillatre:
A new approach for semiparametric detection. ICASSP 2012: 3949-3952 - [c16]Rémi Cogranne, Cathel Zitzmann, Florent Retraint, Igor V. Nikiforov, Lionel Fillatre, Philippe Cornu:
Statistical Detection of LSB Matching Using Hypothesis Testing Theory. Information Hiding 2012: 46-62 - [c15]Rémi Cogranne, Cathel Zitzmann, Florent Retraint, Igor V. Nikiforov, Lionel Fillatre, Philippe Cornu:
Statistical detection of LSB matching in the presence of nuisance parameters. SSP 2012: 912-915 - 2011
- [j7]Pedro Casas, Lionel Fillatre, Sandrine Vaton, Igor V. Nikiforov:
Reactive Robust Routing: Anomaly Localization and Routing Reconfiguration for Dynamic Networks. J. Netw. Syst. Manag. 19(1): 58-83 (2011) - [j6]Lionel Fillatre:
Constrained Epsilon-Minimax Test for Simultaneous Detection and Classification. IEEE Trans. Inf. Theory 57(12): 8055-8071 (2011) - [c14]Lionel Fillatre, Igor V. Nikiforov:
A new criterion for optimal constrained minimax detection and classification. ICASSP 2011: 3616-3619 - [c13]Asmaa Amehraye, Lionel Fillatre, Dominique Pastor:
An optimal filtering for unmasked noise prevention. ICASSP 2011: 4772-4775 - [c12]Cathel Zitzmann, Rémi Cogranne, Florent Retraint, Igor V. Nikiforov, Lionel Fillatre, Philippe Cornu:
Statistical Decision Methods in Hidden Information Detection. Information Hiding 2011: 163-177 - [c11]Rémi Cogranne, Cathel Zitzmann, Lionel Fillatre, Florent Retraint, Igor V. Nikiforov, Philippe Cornu:
A Cover Image Model For Reliable Steganalysis. Information Hiding 2011: 178-192 - [c10]Rémi Cogranne, Cathel Zitzmann, Lionel Fillatre, Florent Retraint, Igor V. Nikiforov, Philippe Cornu:
Statistical decision by using quantized observations. ISIT 2011: 1210-1214 - [c9]Lionel Fillatre:
Constrained epsilon-equalizer test for multiple hypothesis testing. ISIT 2011: 2994-2998 - [c8]Grégory Bonnet, Ihsan Ullah, Guillaume Doyen, Lionel Fillatre, Dominique Gaïti, Igor V. Nikiforov:
A Semi-Markovian Individual Model of Users for P2P Video Streaming Applications. NTMS 2011: 1-5 - 2010
- [j5]Pedro Casas, Sandrine Vaton, Lionel Fillatre, Igor V. Nikiforov:
Optimal volume anomaly detection and isolation in large-scale IP networks using coarse-grained measurements. Comput. Networks 54(11): 1750-1766 (2010)
2000 – 2009
- 2009
- [c7]Pedro Casas, Sandrine Vaton, Lionel Fillatre, Thierry Chonavel:
Efficient methods for traffic matrix modeling and on-line estimation in large-scale IP networks. ITC 2009: 1-8 - 2008
- [j4]Lionel Fillatre, Igor V. Nikiforov, Florent Retraint:
varepsilon -Optimal Non-Bayesian Anomaly Detection for Parametric Tomography. IEEE Trans. Image Process. 17(11): 1985-1999 (2008) - [c6]Lionel Fillatre, Igor V. Nikiforov, Pedro Casas, Sandrine Vaton:
Optimal volume anomaly detection in network traffic flows. EUSIPCO 2008: 1-5 - [c5]Pedro Casas, Lionel Fillatre, Sandrine Vaton, Igor V. Nikiforov:
Volume Anomaly Detection in Data Networks: An Optimal Detection Algorithm vs. the PCA Approach. FITraMEn 2008: 96-113 - [c4]Fouzi Harrou, Lionel Fillatre, Igor V. Nikiforov:
Anomaly detection with bounded nuisance parameters and safe train navigation. ICARCV 2008: 1021-1026 - [c3]Pedro Casas, Lionel Fillatre, Sandrine Vaton:
Multi Hour Robust Routing and Fast Load Change Detection for Traffic Engineering. ICC 2008: 5777-5782 - 2007
- [j3]Lionel Fillatre, Igor V. Nikiforov, Florent Retraint:
A Simple Algorithm for Defect Detection From a Few Radiographies. J. Comput. 2(6): 26-34 (2007) - [j2]Lionel Fillatre, Igor V. Nikiforov:
Non-Bayesian Detection and Detectability of Anomalies From a Few Noisy Tomographic Projections. IEEE Trans. Signal Process. 55(2): 401-413 (2007) - 2006
- [c2]Lionel Fillatre, Igor V. Nikiforov, Florent Retraint:
ε-Optimal Anomaly Detection in Parametric Tomography. ICASSP (3) 2006: 277-280 - 2005
- [j1]Lionel Fillatre, Igor V. Nikiforov:
A Statistical Detection of an Anomaly from a Few Noisy Tomographic Projections. EURASIP J. Adv. Signal Process. 2005(14): 2215-2228 (2005) - 2004
- [c1]Lionel Fillatre, Igor V. Nikiforov:
Detection and localization of an anomaly from noisy projections. ISIT 2004: 551
Coauthor Index
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last updated on 2024-04-25 05:57 CEST by the dblp team
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