Vincent Vigneron

Orcid: 0000-0001-5917-6041

According to our database1, Vincent Vigneron authored at least 91 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Phase-Based Gait Prediction after Botulinum Toxin Treatment Using Deep Learning.
Sensors, August, 2024

Deep Learning for Quantified Gait Analysis: A Systematic Literature Review.
IEEE Access, 2024

Gait Deviation Assessment: From Signal to Image Analysis.
Proceedings of the Thirteenth IEEE International Conference on Image Processing Theory, 2024

2023
Clinical Gait Analysis: Characterizing Normal Gait and Pathological Deviations Due to Neurological Diseases.
Sensors, July, 2023

Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria.
CoRR, 2023

A Rank Aggregation Algorithm for Performance Evaluation in Modern Sports Medicine with NMR-based Metabolomics.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

A calibration methodology of low-cost air pollutant sensor calibration using neural networks.
Proceedings of the 20th International Multi-Conference on Systems, Signals & Devices, 2023

2022
Treatment Outcome Prediction Using Multi-Task Learning: Application to Botulinum Toxin in Gait Rehabilitation.
Sensors, 2022

A Nonparametric Pooling Operator Capable of Texture Extraction.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Agrégation d'opinions par machine de Boltzmann.
Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controller.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

Importance Order Ranking for Texture Extraction: A More Efficient Pooling Operator Than Max Pooling?
Proceedings of the 19th International Conference on Informatics in Control, 2022

Coordinated PSO-PID based longitudinal control with LPV-MPC based lateral control for autonomous vehicles.
Proceedings of the European Control Conference, 2022

Optimization of Tracer Dose for Scintigraphic Imagery.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Soft computing based control approach applied to an under actuated system.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

2021
A New Pooling Approach Based on Zeckendorf's Theorem for Texture Transfer Information.
Entropy, 2021

Optimized self-adaptive PID speed control for autonomous vehicles.
Proceedings of the 26th International Conference on Automation and Computing, 2021

Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehicles.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

Optimized adaptive MPC for lateral control of autonomous vehicles.
Proceedings of the 9th International Conference on Control, Mechatronics and Automation, 2021

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.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

2020
A new unbiased minimum variance observer for stochastic LTV systems with unknown inputs.
IMA J. Math. Control. Inf., 2020

An easy design for interval observers.
Int. J. Control, 2020

An unknown input extended Kalman filter for nonlinear stochastic systems.
Eur. J. Control, 2020

2019
<i>M</i>-ary Rank Classifier Combination: A Binary Linear Programming Problem.
Entropy, 2019

A maximum likelihood estimator for switching linear systems with unknown inputs.
Autom., 2019

Stroke Thrombus Segmentation on SWAN with Multi-Directional U-Nets.
Proceedings of the Ninth International Conference on Image Processing Theory, 2019

Deep Learning Methods for MRI Brain Tumor Segmentation: a comparative study.
Proceedings of the Ninth International Conference on Image Processing Theory, 2019

2018
Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets.
Signal Process., 2018

Rank-order principal components. A separation algorithm for ordinal data exploration.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Probit Latent Variables Estimation for a Gaussian Process Classifier: Application to the Detection of High-Voltage Spindles.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Interval observer for nonlinear Lipschitz systems with unknown inputs.
Proceedings of the 2018 Annual American Control Conference, 2018

Interval observer for bilinear systems with unknown inputs.
Proceedings of the 2018 Annual American Control Conference, 2018

Observers for switching discrete-time linear systems with Unknown Inputs and unknown switching sequence.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Programmation par contraintes et découverte de motifs sur données séquentielles. (Constraint programming for sequential pattern mining).
PhD thesis, 2017

Minimum variance unbiased observer of a continuous LPV system with unknown input.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Guaranteed state and unknown input estimations for linear time-invariant systems with direct feedthrough using interval observers.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Toward Rank Disaggregation: An Approach Based on Linear Programming and Latent Variable Analysis.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Z-Images.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

2016
A multi-scale seriation algorithm for clustering sparse imbalanced data: application to spike sorting.
Pattern Anal. Appl., 2016

Perceptually relevant grouping of image tokens on the basis of constraint propagation from local binary patterns.
J. Electronic Imaging, 2016

2015
A logistic non-negative matrix factorization approach to binary data sets.
Multidimens. Syst. Signal Process., 2015

A New Decentralized Bayesian Approach for Cooperative Vehicle Localization Based on Fusion of GPS and VANET Based Inter-Vehicle Distance Measurement.
IEEE Intell. Transp. Syst. Mag., 2015

Estimation of Postoperative Knee Flexion at Initial Contact of Cerebral Palsy Children using Neural Networks.
Proceedings of the ICPRAM 2015, 2015

Automatic Detection of High-voltage Spindles for Parkinson's Disease.
Proceedings of the BIOSIGNALS 2015, 2015

2014
Numerical Intelligence for Mobility and Communication: Tendencies in Automatics and Control.
J. Intell. Syst., 2014

How to Manage Conflict and Ambiguities in Localization and Map Matching.
J. Intell. Syst., 2014

Sparse Data Analysis Strategy for Neural Spike Classification.
Comput. Intell. Neurosci., 2014

On the Attainability of NK Landscapes Global Optima.
Proceedings of the Seventh Annual Symposium on Combinatorial Search, 2014

A Decomposition Approach for Discovering Discriminative Motifs in a Sequence Database.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Decoding Hand Trajectory from Primary Motor Cortex ECoG Using Time Delay Neural Network.
Proceedings of the Engineering Applications of Neural Networks, 2014

2013
Short paper: Inter-vehicular distance improvement using position information in a collaborative adaptive cruise control system.
Proceedings of the 2013 IEEE Vehicular Networking Conference, 2013

Optimized simulation architecture for multimodal radar modeling: Application to automotive driving assistance system.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

A new decentralized Bayesian approach for cooperative vehicle localization based on fusion of GPS and inter-vehicle distance measurements.
Proceedings of the International Conference on Connected Vehicles and Expo, 2013

3D Local Binary Pattern for PET Image Classification by SVM - Application to Early Alzheimer Disease Diagnosis.
Proceedings of the BIOSIGNALS 2013, 2013

2012
Latent variable analysis and signal separation.
Signal Process., 2012

Radar simulation in SiVIC platform for transportation issues. Antenna and propagation channel modelling.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

2011
Une famille de matrices sparses pour une modélisation multi-échelle par blocs.
Proceedings of the Fouille de données complexes. Complexité liée aux données multiples, 2011

A new Markovian approach towards neural spike sorting.
Proceedings of the 8th International Conference on Information, 2011

2010
Adaptive filtering and hypothesis testing: Application to cancerous cells detection.
Pattern Recognit. Lett., 2010

Statistics for Image Processing.
Pattern Recognit. Lett., 2010

Decomposition of EEG Signals for Multichannel Neural Activity Analysis in Animal Experiments.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
Signal Subspace Separation Based on the Divergence Measure of a Set of Wavelets Coefficients.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Sparse Decomposition over non-full-rank dictionaries.
Proceedings of the IEEE International Conference on Acoustics, 2009

Classification of high-dimensional data for cervical cancer detection.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Dictionary-Based Classification Models. Applications for Multichannel Neural Activity Analysis.
Proceedings of the Engineering Applications of Neural Networks, 2009

2008
Nonlinear Blind Parameter Estimation.
IEEE Trans. Autom. Control., 2008

Correlation, Independance and Inverse Modeling.
Proceedings of the Image and Signal Processing - 3rd International Conference, 2008

2007
Some Applications of Interval Analysis to Statistical Problems.
Proceedings of the Computational and Ambient Intelligence, 2007

Pro or Cons local vs. global imagery information for identifying cell migratory potential.
Proceedings of the 15th European Signal Processing Conference, 2007

Joint diagonalization of complex spatial-wavelet matrices for blind sources separation of non stationary sources.
Proceedings of the 15th European Signal Processing Conference, 2007

Face localization by neural networks trained with Zernike moments and Eigenfaces feature vectors. A comparison.
Proceedings of the Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2007

2006
Topological characterization of mobile robot behavior.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Quantify distinguishability in Robotics.
Proceedings of the Intelligent Autonomous Systems 9, 2006

Entropy-based principle and generalized contingency tables.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005
HYbrid algorithms for the parameter estimate using fault detection, and reaching capacities.
Proceedings of the ICINCO 2005, 2005

Performing dimensionality reduction of nonstationary stochastic processes using perturbation analysis.
Proceedings of the 13th European Signal Processing Conference, 2005

Fault detection techniques analysis and development of its procedural phases.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
General conditions of stability in blind source separation models and score function selection.
Neurocomputing, 2004

Fisher Information in Source Separation Problems.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Wavelet De-noising for Blind Source Separation in Noisy Mixtures.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Analytical Solution of the Blind Source Separation Problem Using Derivatives.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Improving independent component analysis performances by variable selection.
Proceedings of the NNSP 2003, 2003

Fetal electrocardiogram extraction based on non-stationary ICA and wavelet denoising.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Acceptability conditions for BSS problems.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

Road Singularities Detection and Classification.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

Detecting and Classifying Road Turn Directions from a Sequence of Images.
Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

"Poor Man" Vote with M-ary Classifiers. Application to Iris Recognition.
Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003

2002
Bootstrap for neural model selection.
Neurocomputing, 2002

2001
More on stationnary points in Independent Component Analysis.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

1999
Approximation Techniques for Neuromimetic Calculus.
Int. J. Neural Syst., 1999

1998
Training Linear Neural Network with Early Stopped Learning and Ridge Estimation.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998


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