Training Linear Neural Network with Early Stopped Learning and Ridge Estimation. - Vincent Vigneron; Claude Barret (SBRN, 1998)

Approximation Techniques for Neuromimetic Calculus. - Vincent Vigneron; Claude Barret (Int. J. Neural Syst., 1999)

More on stationnary points in Independent Component Analysis. - Vincent Vigneron; Ludovic Aubry (ESANN, 2001)

Bootstrap for neural model selection. - Riadh Kallel; Marie Cottrell; Vincent Vigneron (Neurocomputing, 2002)

"Poor Man" Vote with M-ary Classifiers. Application to Iris Recognition. - Vincent Vigneron; Hichem Maaref; Sylvie Lelandais (AVBPA, 2003)

Detecting and Classifying Road Turn Directions from a Sequence of Images. - Ana Paula Leitão; Sorin Tilie; Sio-Song Ieng; Vincent Vigneron (CAIP, 2003)

Road Singularities Detection and Classification. - Ana Paula Leitão; Sorin Tilie; Morgan Mangeas; Jean-Philippe Tarel; Vincent Vigneron; Sylvie Lelandais-Bonade (ESANN, 2003)

Acceptability conditions for BSS problems. - Vincent Vigneron; Sebastien Lagrange; Christian Jutten (ESANN, 2003)

Fetal electrocardiogram extraction based on non-stationary ICA and wavelet denoising. - Vincent Vigneron; Anisoara Paraschiv-Ionescu; Annabelle Azancot; Olivier Sibony; Christian Jutten (ISSPA (2), 2003)

Improving independent component analysis performances by variable selection. - Frédéric Vrins; John Aldo Lee; Michel Verleysen; Vincent Vigneron; Christian Jutten (NNSP, 2003)

Analytical Solution of the Blind Source Separation Problem Using Derivatives. - Sebastien Lagrange; Luc Jaulin; Vincent Vigneron; Christian Jutten (ICA, 2004)

Wavelet De-noising for Blind Source Separation in Noisy Mixtures. - Bertrand Rivet; Vincent Vigneron; Anisoara Paraschiv-Ionescu; Christian Jutten (ICA, 2004)

Fisher Information in Source Separation Problems. - Vincent Vigneron; Christian Jutten (ICA, 2004)

General conditions of stability in blind source separation models and score function selection. - Vincent Vigneron; Ludovic Aubry; Christian Jutten (Neurocomputing, 2004)

Fault detection techniques analysis and development of its procedural phases. - Ryadh Hadj Mokhneche; Hichem Maaref; Vincent Vigneron (EUSIPCO, 2005)

Performing dimensionality reduction of nonstationary stochastic processes using perturbation analysis. - Vincent Vigneron; Hichem Maaref (EUSIPCO, 2005)

HYbrid algorithms for the parameter estimate using fault detection, and reaching capacities. - Ryadh Hadj Mokhneche; Hichem Maaref; Vincent Vigneron (ICINCO, 2005)

Entropy-based principle and generalized contingency tables. - Vincent Vigneron (ESANN, 2006)

Quantify distinguishability in Robotics. - Aurélien Hazan; Frédéric Davesne; Vincent Vigneron; Hichem Maaref (IAS, 2006)

Topological characterization of mobile robot behavior. - Aurélien Hazan; Frédéric Davesne; Vincent Vigneron; Hichem Maaref (IROS, 2006)

Face localization by neural networks trained with Zernike moments and Eigenfaces feature vectors. A comparison. - Mohammed Saaidia; Anis Chaari; Sylvie Lelandais; Vincent Vigneron; Mouldi Bedda (AVSS, 2007)

Joint diagonalization of complex spatial-wavelet matrices for blind sources separation of non stationary sources. - El Mostafa Fadaili; Vincent Vigneron (EUSIPCO, 2007)

Pro or Cons local vs. global imagery information for identifying cell migratory potential. - Vincent Vigneron; Sylvie Lelandais; Cecile Charriere-Bertrand; Michel Malo; Adrien Ugon; Georgia Barlovatz-Meimon (EUSIPCO, 2007)

Some Applications of Interval Analysis to Statistical Problems. - Vincent Vigneron (IWANN, 2007)

Correlation, Independance and Inverse Modeling. - Vincent Vigneron (ICISP, 2008)

Nonlinear Blind Parameter Estimation. - Sebastien Lagrange; Luc Jaulin; Vincent Vigneron; Christian Jutten (IEEE Trans. Autom. Control., 2008)

Dictionary-Based Classification Models. Applications for Multichannel Neural Activity Analysis. - Vincent Vigneron; Hsin Chen; Yen-Tai Chen; Hsin-Yi Lai; You-Yin Chen (EANN, 2009)

Classification of high-dimensional data for cervical cancer detection. - Charles Bouveyron; Camille Brunet; Vincent Vigneron (ESANN, 2009)

Sparse Decomposition over non-full-rank dictionaries. - Massoud Babaie-Zadeh; Vincent Vigneron; Christian Jutten (ICASSP, 2009)

Signal Subspace Separation Based on the Divergence Measure of a Set of Wavelets Coefficients. - Vincent Vigneron; Aurélien Hazan (ICA, 2009)

Decomposition of EEG Signals for Multichannel Neural Activity Analysis in Animal Experiments. - Vincent Vigneron; Hsin Chen; Yen-Tai Chen; Hsin-Yi Lai; You-Yin Chen (LVA/ICA, 2010)

Statistics for Image Processing. - Vincent Vigneron; Sylvie Lelandais (Pattern Recognit. Lett., 2010)

Adaptive filtering and hypothesis testing: Application to cancerous cells detection. - Vincent Vigneron; Tahir Q. Syed; Georgia Barlovatz-Meimon; Michel Malo; Christophe Montagne; Sylvie Lelandais (Pattern Recognit. Lett., 2010)

A new Markovian approach towards neural spike sorting. - Soheila Samiee; Mohammad Bagher Shamsollahi; Vincent Vigneron (ICICS, 2011)

Une famille de matrices sparses pour une modélisation multi-échelle par blocs. - Camille Brunet; Thomas Villman; Vincent Vigneron (Fouille de données complexes, 2011)

Radar simulation in SiVIC platform for transportation issues. Antenna and propagation channel modelling. - Steve Pechberti; Dominique Gruyer; Vincent Vigneron (ITSC, 2012)

Latent variable analysis and signal separation. - Vincent Vigneron; Vicente Zarzoso; Rémi Gribonval; Emmanuel Vincent 001 (Signal Process., 2012)

3D Local Binary Pattern for PET Image Classification by SVM - Application to Early Alzheimer Disease Diagnosis. - Christophe Montagne; Andreas Kodewitz; Vincent Vigneron; Virgile Giraud; Sylvie Lelandais (BIOSIGNALS, 2013)

A new decentralized Bayesian approach for cooperative vehicle localization based on fusion of GPS and inter-vehicle distance measurements. - Mohsen Rohani; Denis Gingras; Vincent Vigneron; Dominique Gruyer (ICCVE, 2013)

Optimized simulation architecture for multimodal radar modeling: Application to automotive driving assistance system. - Steve Pechberti; Dominique Gruyer; Vincent Vigneron (ITSC, 2013)

Short paper: Inter-vehicular distance improvement using position information in a collaborative adaptive cruise control system. - A. Amadou Maranga; Nicolas Pous; Denis Gingras; Vincent Vigneron (VNC, 2013)

Decoding Hand Trajectory from Primary Motor Cortex ECoG Using Time Delay Neural Network. - Abdessalam Kifouche; Vincent Vigneron; Mohammad B. Shamsollahi; Abderrezak Guessoum (EANN, 2014)

A Decomposition Approach for Discovering Discriminative Motifs in a Sequence Database. - David Lesaint; Deepak Mehta 001; Barry O'Sullivan; Vincent Vigneron (ECAI, 2014)

On the Attainability of NK Landscapes Global Optima. - Matthieu Basseur; Adrien Goëffon; Frédéric Lardeux; Frédéric Saubion; Vincent Vigneron (SOCS, 2014)

Sparse Data Analysis Strategy for Neural Spike Classification. - Vincent Vigneron; Hsin Chen (Comput. Intell. Neurosci., 2014)

How to Manage Conflict and Ambiguities in Localization and Map Matching. - Dominique Gruyer; Rachid Belaroussi; Vincent Vigneron; Aurélien Cord (J. Intell. Syst., 2014)

Numerical Intelligence for Mobility and Communication: Tendencies in Automatics and Control. - Vincent Vigneron; Dominique Gruyer; Saïd Mammar (J. Intell. Syst., 2014)

Automatic Detection of High-voltage Spindles for Parkinson's Disease. - Vincent Vigneron; Tahir Q. Syed; Hsin Chen (BIOSIGNALS, 2015)

Estimation of Postoperative Knee Flexion at Initial Contact of Cerebral Palsy Children using Neural Networks. - Omar A. Galarraga C.; Vincent Vigneron; Bernadette Dorizzi; Néjib Khouri; Eric Desailly (ICPRAM (2), 2015)

A New Decentralized Bayesian Approach for Cooperative Vehicle Localization Based on Fusion of GPS and VANET Based Inter-Vehicle Distance Measurement. - Mohsen Rohani; Denis Gingras; Vincent Vigneron; Dominique Gruyer (IEEE Intell. Transp. Syst. Mag., 2015)

A logistic non-negative matrix factorization approach to binary data sets. - Ana Maria Tomé; Reinhard Schachtner; Vincent Vigneron; Carlos García Puntonet; Elmar Wolfgang Lang (Multidimens. Syst. Signal Process., 2015)

Perceptually relevant grouping of image tokens on the basis of constraint propagation from local binary patterns. - Sadaf Iqbal Behlim; Tahir Qasim Syed; Muhammad Yameen Malik; Vincent Vigneron (J. Electronic Imaging, 2016)

A multi-scale seriation algorithm for clustering sparse imbalanced data: application to spike sorting. - Vincent Vigneron; Hsin Chen (Pattern Anal. Appl., 2016)

Z-Images. - Vincent Vigneron; Tahir Q. Syed; Leonardo Tomazeli Duarte; Elmar Wolfgang Lang; Sadaf I. Behlim; Ana Maria Tomé (IbPRIA, 2017)

Toward Rank Disaggregation: An Approach Based on Linear Programming and Latent Variable Analysis. - Vincent Vigneron; Leonardo Tomazeli Duarte (LVA/ICA, 2017)

Guaranteed state and unknown input estimations for linear time-invariant systems with direct feedthrough using interval observers. - Luc Meyer; Dalil Ichalal; Vincent Vigneron; Claire Vasiljevic (SMC, 2017)

Minimum variance unbiased observer of a continuous LPV system with unknown input. - Luc Meyer; Dalil Ichalal; Vincent Vigneron; Claire Vasiljevic (SMC, 2017)

Programmation par contraintes et découverte de motifs sur données séquentielles. (Constraint programming for sequential pattern mining). - Vincent Vigneron (2017)

Observers for switching discrete-time linear systems with Unknown Inputs and unknown switching sequence. - Luc Meyer; Dalil Ichalal; Vincent Vigneron (ACC, 2018)

Interval observer for bilinear systems with unknown inputs. - Luc Meyer; Dalil Ichalal; Vincent Vigneron (ACC, 2018)

Interval observer for nonlinear Lipschitz systems with unknown inputs. - Luc Meyer; Dalil Ichalal; Vincent Vigneron (ACC, 2018)

Probit Latent Variables Estimation for a Gaussian Process Classifier: Application to the Detection of High-Voltage Spindles. - Rémi Souriau; Vincent Vigneron; Jean Lerbet; Hsin Chen (LVA/ICA, 2018)

Rank-order principal components. A separation algorithm for ordinal data exploration. - Vincent Vigneron; Leonardo Tomazeli Duarte (IJCNN, 2018)

Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets. - Vincent Vigneron; Andreas Kodewitz; Michele Nazareth da Costa; Ana Maria Tomé; Elmar Wolfgang Lang (Signal Process., 2018)

Deep Learning Methods for MRI Brain Tumor Segmentation: a comparative study. - Ikram Brahim; Dominique Fourer; Vincent Vigneron; Hichem Maaref (IPTA, 2019)

Stroke Thrombus Segmentation on SWAN with Multi-Directional U-Nets. - Jonathan Kobold; Elmar Wolfgang Lang; Ana Maria Tomé; Vincent Vigneron; Hichem Maaref; Dominique Fourer; M. Aghasaryan; C. Alecu; Nicolas Chausson; Yann L'Hermitte; Didier Smadja (IPTA, 2019)

A maximum likelihood estimator for switching linear systems with unknown inputs. - Luc Meyer; Dalil Ichalal; Vincent Vigneron (Autom., 2019)

M-ary Rank Classifier Combination: A Binary Linear Programming Problem. - Vincent Vigneron; Hichem Maaref (Entropy, 2019)

An unknown input extended Kalman filter for nonlinear stochastic systems. - Luc Meyer; Dalil Ichalal; Vincent Vigneron (Eur. J. Control, 2020)

An easy design for interval observers. - Luc Meyer; Dalil Ichalal; Vincent Vigneron (Int. J. Control, 2020)

A new unbiased minimum variance observer for stochastic LTV systems with unknown inputs. - Luc Meyer; Dalil Ichalal; Vincent Vigneron (IMA J. Math. Control. Inf., 2020)

Z-pooling**This research was supported by the program Cátedras Francesa do Estado de São Paulo, an initiative of the French consulate and the state of São Paulo (Brazil). The authors thank D. Fourer and I. Brahim for their contributions. - Vincent Vigneron; Leonardo Tomazeli Duarte; Hichem Maaref (SSD, 2021)

Optimized adaptive MPC for lateral control of autonomous vehicles. - Yassine Kebbati; Vicenç Puig; Naima Ait Oufroukh; Vincent Vigneron; Dalil Ichalal (ICCMA, 2021)

Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehicles. - Yassine Kebbati; Naima Ait Oufroukh; Vincent Vigneron; Dalil Ichalal (ICNSC, 2021)

Optimized self-adaptive PID speed control for autonomous vehicles. - Yassine Kebbati; Naima Ait Oufroukh; Vincent Vigneron; Dalil Ichalal; Dominique Gruyer (ICAC, 2021)

A New Pooling Approach Based on Zeckendorf's Theorem for Texture Transfer Information. - Vincent Vigneron; Hichem Maaref; Tahir Q. Syed (Entropy, 2021)

Soft computing based control approach applied to an under actuated system. - Larbi Kharroubi; Hichem Maaref; Vincent Vigneron (SSD, 2022)

Optimization of Tracer Dose for Scintigraphic Imagery. - C. Bousnah; S. Anebajagane; O. Monsarrat; J.-Ph. Conge; Hichem Maaref; Vincent Vigneron (BIOSIGNALS, 2022)

Coordinated PSO-PID based longitudinal control with LPV-MPC based lateral control for autonomous vehicles. - Yassine Kebbati; Naima Ait Oufroukh; Vincent Vigneron; Dalil Ichalal (ECC, 2022)

Importance Order Ranking for Texture Extraction: A More Efficient Pooling Operator Than Max Pooling? - Sofia Vargas Ibarra; Vincent Vigneron; J.-Ph. Conge; Hichem Maaref (ICINCO, 2022)

Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controller. - Yassine Kebbati; Naima Ait Oufroukh; Vicenç Puig; Dalil Ichalal; Vincent Vigneron (ICNSC, 2022)

Agrégation d'opinions par machine de Boltzmann. - Vincent Vigneron; Hichem Maaref (LFA, 2022)

A Nonparametric Pooling Operator Capable of Texture Extraction. - Vincent Vigneron; Hichem Maaref (LOD (2), 2022)

Treatment Outcome Prediction Using Multi-Task Learning: Application to Botulinum Toxin in Gait Rehabilitation. - Adil Khan; Antoine Hazart; Omar A. Galarraga C.; Sonia Garcia-Salicetti; Vincent Vigneron (Sensors, 2022)

A calibration methodology of low-cost air pollutant sensor calibration using neural networks. - A. Souani; A. Hucher; Vincent Vigneron; Hichem Maaref (SSD, 2023)

A Rank Aggregation Algorithm for Performance Evaluation in Modern Sports Medicine with NMR-based Metabolomics. - Vincent Vigneron; Hichem Maaref (BIOSIGNALS, 2023)

Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria. - Reza Sameni; Frédéric Vrins; Fabienne Parmentier; Christophe Hérail; Vincent Vigneron; Michel Verleysen; Christian Jutten; Mohammad B. Shamsollahi (CoRR, 2023)

Clinical Gait Analysis: Characterizing Normal Gait and Pathological Deviations Due to Neurological Diseases. - Lorenzo Hermez; Abdelghani Halimi; Nesma Houmani; Sonia Garcia-Salicetti; Omar A. Galarraga C.; Vincent Vigneron (Sensors, 2023)

Gait Deviation Assessment: From Signal to Image Analysis. - Lorenzo Hermez; Nesma Houmani; Sonia Garcia-Salicetti; Omar A. Galarraga C.; Vincent Vigneron (IPTA, 2024)

A recurrent network for segmenting the thrombus on brain MRI in patients with hyper-acute ischemic stroke. - Sofia Vargas Ibarra; Vincent Vigneron; Sonia Garcia-Salicetti; Hichem Maaref; Jonathan Kobold; Nicolas Chausson; Yann L'Hermitte; Didier Smadja (MIDL, 2024)

Post-Treatment Gait Prediction After Botulinum Toxin Injections Using Deep Learning with an Attention Mechanism. - Adil Khan; Omar A. Galarraga C.; Sonia Garcia-Salicetti; Vincent Vigneron (LOD (1), 2024)

Deep Learning for Quantified Gait Analysis: A Systematic Literature Review. - Adil Khan; Omar A. Galarraga C.; Sonia Garcia-Salicetti; Vincent Vigneron (IEEE Access, 2024)

Phase-Based Gait Prediction after Botulinum Toxin Treatment Using Deep Learning. - Adil Khan; Omar A. Galarraga C.; Sonia Garcia-Salicetti; Vincent Vigneron (Sensors, 2024)

Gait asymmetry assessment through Eigen-Gait components on dissimilarity maps. - Lorenzo Hermez; Nesma Houmani; Sonia Garcia-Salicetti; Omar A. Galarraga C.; Vincent Vigneron (Comput. Biol. Medicine, 2025)

RNN-based linear parameter varying adaptive model predictive control for autonomous driving. - Yassine Kebbati; Naima Ait Oufroukh; Dalil Ichalal; Vincent Vigneron (Int. J. Syst. Sci., 2025)

Learning-based model predictive control with moving horizon state estimation for autonomous racing. - Yassine Kebbati; Andreas Rauh; Naima Ait Oufroukh; Dalil Ichalal; Vincent Vigneron (Int. J. Control, 2025)