Vincent Vigneron
Orcid: 0000-0001-5917-6041
According to our database1,
Vincent Vigneron
authored at least 88 papers
between 1998 and 2023.
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Bibliography
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
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
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
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
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
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
Eur. J. Control, 2020
2019
Entropy, 2019
Autom., 2019
Proceedings of the Ninth International Conference on Image Processing Theory, 2019
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
Proceedings of the 2018 Annual American Control Conference, 2018
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
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
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
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
J. Intell. Syst., 2014
Comput. Intell. Neurosci., 2014
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
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
Proceedings of the Fouille de données complexes. Complexité liée aux données multiples, 2011
Proceedings of the 8th International Conference on Information, 2011
2010
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
Proceedings of the IEEE International Conference on Acoustics, 2009
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
Proceedings of the Image and Signal Processing - 3rd International Conference, 2008
2007
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
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
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
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
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
2003
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
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003
Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003
2002
2001
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001
1999
1998
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998