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ORCIDVincent Vigneron
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2020 – today
- 2024
[j25]Adil Khan
, Omar A. Galarraga C., Sonia Garcia-Salicetti, Vincent Vigneron:
Deep Learning for Quantified Gait Analysis: A Systematic Literature Review. IEEE Access 12: 138932-138957 (2024)- [j24]Adil Khan, Omar A. Galarraga C., Sonia Garcia-Salicetti, Vincent Vigneron:
Phase-Based Gait Prediction after Botulinum Toxin Treatment Using Deep Learning. Sensors 24(16): 5343 (2024) - 2023
- [j23]Lorenzo Hermez, Abdelghani Halimi, Nesma Houmani, Sonia Garcia-Salicetti, Omar A. Galarraga C., Vincent Vigneron:
Clinical Gait Analysis: Characterizing Normal Gait and Pathological Deviations Due to Neurological Diseases. Sensors 23(14): 6566 (2023) - [c64]A. Souani, A. Hucher, Vincent Vigneron, Hichem Maaref:
A calibration methodology of low-cost air pollutant sensor calibration using neural networks. SSD 2023: 229-235 - [c63]Vincent Vigneron, Hichem Maaref:
A Rank Aggregation Algorithm for Performance Evaluation in Modern Sports Medicine with NMR-based Metabolomics. BIOSIGNALS 2023: 332-339 - [i2]Reza Sameni, Frédéric Vrins, Fabienne Parmentier, Christophe Hérail, Vincent Vigneron, Michel Verleysen, Christian Jutten, Mohammad B. Shamsollahi:
Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria. CoRR abs/2302.00206 (2023) - 2022
- [j22]Adil Khan, Antoine Hazart, Omar A. Galarraga C., Sonia Garcia-Salicetti, Vincent Vigneron:
Treatment Outcome Prediction Using Multi-Task Learning: Application to Botulinum Toxin in Gait Rehabilitation. Sensors 22(21): 8452 (2022) - [c62]Larbi Kharroubi, Hichem Maaref, Vincent Vigneron:
Soft computing based control approach applied to an under actuated system. SSD 2022: 816-822 - [c61]C. Bousnah, S. Anebajagane, O. Monsarrat, J.-Ph. Conge, Hichem Maaref, Vincent Vigneron:
Optimization of Tracer Dose for Scintigraphic Imagery. BIOSIGNALS 2022: 167-175 - [c60]Yassine Kebbati, Naima Ait Oufroukh, Vincent Vigneron, Dalil Ichalal:
Coordinated PSO-PID based longitudinal control with LPV-MPC based lateral control for autonomous vehicles. ECC 2022: 518-523 - [c59]S. Vargas Ibarra, Vincent Vigneron, J.-Ph. Conge, Hichem Maaref:
Importance Order Ranking for Texture Extraction: A More Efficient Pooling Operator Than Max Pooling? ICINCO 2022: 585-594 - [c58]Yassine Kebbati, Naima Ait Oufroukh, Vicenç Puig, Dalil Ichalal, Vincent Vigneron:
Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controller. ICNSC 2022: 1-6 - [c57]Vincent Vigneron, Hichem Maaref:
Agrégation d'opinions par machine de Boltzmann. LFA 2022 - [c56]Vincent Vigneron, Hichem Maaref:
A Nonparametric Pooling Operator Capable of Texture Extraction. LOD (2) 2022: 93-107 - 2021
- [j21]Vincent Vigneron, Hichem Maaref, Tahir Q. Syed:
A New Pooling Approach Based on Zeckendorf's Theorem for Texture Transfer Information. Entropy 23(3): 279 (2021) - [c55]Vincent Vigneron, Leonardo Tomazeli Duarte, Hichem Maaref:
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. SSD 2021: 29-34 - [c54]Yassine Kebbati, Vicenç Puig, Naima Ait Oufroukh, Vincent Vigneron, Dalil Ichalal:
Optimized adaptive MPC for lateral control of autonomous vehicles. ICCMA 2021: 95-103 - [c53]Yassine Kebbati, Naima Ait Oufroukh, Vincent Vigneron, Dalil Ichalal:
Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehicles. ICNSC 2021: 1-6 - [c52]Yassine Kebbati, Naima Ait Oufroukh, Vincent Vigneron, Dalil Ichalal, Dominique Gruyer:
Optimized self-adaptive PID speed control for autonomous vehicles. ICAC 2021: 1-6 - 2020
- [j20]Luc Meyer, Dalil Ichalal, Vincent Vigneron:
An unknown input extended Kalman filter for nonlinear stochastic systems. Eur. J. Control 56: 51-61 (2020) - [j19]Luc Meyer, Dalil Ichalal, Vincent Vigneron:
An easy design for interval observers. Int. J. Control 93(12): 2896-2907 (2020) - [j18]Luc Meyer, Dalil Ichalal, Vincent Vigneron:
A new unbiased minimum variance observer for stochastic LTV systems with unknown inputs. IMA J. Math. Control. Inf. 37(2): 471-492 (2020)
2010 – 2019
- 2019
- [j17]Luc Meyer, Dalil Ichalal, Vincent Vigneron:
A maximum likelihood estimator for switching linear systems with unknown inputs. Autom. 108 (2019) - [j16]Vincent Vigneron, Hichem Maaref:
M-ary Rank Classifier Combination: A Binary Linear Programming Problem. Entropy 21(5): 440 (2019) - [c51]Ikram Brahim, Dominique Fourer, Vincent Vigneron, Hichem Maaref:
Deep Learning Methods for MRI Brain Tumor Segmentation: a comparative study. IPTA 2019: 1-6 - [c50]Jonathan Kobold, Elmar Wolfgang Lang, Ana Maria Tomé, Vincent Vigneron, Hichem Maaref, Dominique Fourer, M. Aghasaryan, C. Alecu, N. Chausson, Y. L'Hermitte, D. Smadja:
Stroke Thrombus Segmentation on SWAN with Multi-Directional U-Nets. IPTA 2019: 1-6 - 2018
- [j15]Vincent Vigneron, Andreas Kodewitz, Michele Nazareth da Costa, Ana Maria Tomé, Elmar Wolfgang Lang:
Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets. Signal Process. 144: 77-86 (2018) - [c49]Luc Meyer, Dalil Ichalal, Vincent Vigneron:
Observers for switching discrete-time linear systems with Unknown Inputs and unknown switching sequence. ACC 2018: 3810-3815 - [c48]Luc Meyer, Dalil Ichalal, Vincent Vigneron:
Interval observer for bilinear systems with unknown inputs. ACC 2018: 5957-5961 - [c47]Luc Meyer, Dalil Ichalal, Vincent Vigneron:
Interval observer for nonlinear Lipschitz systems with unknown inputs. ACC 2018: 5962-5967 - [c46]Rémi Souriau, Vincent Vigneron, Jean Lerbet, Hsin Chen:
Probit Latent Variables Estimation for a Gaussian Process Classifier: Application to the Detection of High-Voltage Spindles. LVA/ICA 2018: 514-523 - [c45]Vincent Vigneron, Leonardo Tomazeli Duarte:
Rank-order principal components. A separation algorithm for ordinal data exploration. IJCNN 2018: 1-6 - 2017
- [b1]Vincent Vigneron:
Programmation par contraintes et découverte de motifs sur données séquentielles. (Constraint programming for sequential pattern mining). University of Angers, France, 2017 - [c44]Vincent Vigneron, Tahir Q. Syed, Leonardo Tomazeli Duarte, Elmar Wolfgang Lang, Sadaf I. Behlim, Ana Maria Tomé:
Z-Images. IbPRIA 2017: 177-184 - [c43]Vincent Vigneron, Leonardo Tomazeli Duarte:
Toward Rank Disaggregation: An Approach Based on Linear Programming and Latent Variable Analysis. LVA/ICA 2017: 192-200 - [c42]Luc Meyer, Dalil Ichalal, Vincent Vigneron, Claire Vasiljevic:
Guaranteed state and unknown input estimations for linear time-invariant systems with direct feedthrough using interval observers. SMC 2017: 2597-2602 - [c41]Luc Meyer, Dalil Ichalal, Vincent Vigneron, Claire Vasiljevic:
Minimum variance unbiased observer of a continuous LPV system with unknown input. SMC 2017: 2603-2607 - 2016
- [j14]Sadaf Iqbal Behlim, Tahir Qasim Syed, Muhammad Yameen Malik, Vincent Vigneron:
Perceptually relevant grouping of image tokens on the basis of constraint propagation from local binary patterns. J. Electronic Imaging 25(6): 61616 (2016) - [j13]Vincent Vigneron, Hsin Chen:
A multi-scale seriation algorithm for clustering sparse imbalanced data: application to spike sorting. Pattern Anal. Appl. 19(4): 885-903 (2016) - 2015
- [j12]Mohsen Rohani, Denis Gingras, Vincent Vigneron, Dominique Gruyer:
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. 7(2): 85-95 (2015) - [j11]Ana Maria Tomé, Reinhard Schachtner, Vincent Vigneron, Carlos García Puntonet, Elmar Wolfgang Lang:
A logistic non-negative matrix factorization approach to binary data sets. Multidimens. Syst. Signal Process. 26(1): 125-143 (2015) - [c40]Vincent Vigneron, Tahir Q. Syed, Hsin Chen:
Automatic Detection of High-voltage Spindles for Parkinson's Disease. BIOSIGNALS 2015: 372-378 - [c39]Omar A. Galarraga C., Vincent Vigneron, Bernadette Dorizzi, Néjib Khouri, Eric Desailly:
Estimation of Postoperative Knee Flexion at Initial Contact of Cerebral Palsy Children using Neural Networks. ICPRAM (2) 2015: 338-342 - 2014
- [j10]Vincent Vigneron, Hsin Chen:
Sparse Data Analysis Strategy for Neural Spike Classification. Comput. Intell. Neurosci. 2014: 757068:1-757068:18 (2014) - [j9]Vincent Vigneron, Dominique Gruyer, Saïd Mammar:
Numerical Intelligence for Mobility and Communication: Tendencies in Automatics and Control. J. Intell. Syst. 23(2): 109-111 (2014) - [j8]Dominique Gruyer, Rachid Belaroussi, Vincent Vigneron, Aurélien Cord:
How to Manage Conflict and Ambiguities in Localization and Map Matching. J. Intell. Syst. 23(2): 171-182 (2014) - [c38]Abdessalam Kifouche, Vincent Vigneron, Mohammad B. Shamsollahi, Abderrezak Guessoum:
Decoding Hand Trajectory from Primary Motor Cortex ECoG Using Time Delay Neural Network. EANN 2014: 237-247 - [c37]David Lesaint, Deepak Mehta, Barry O'Sullivan, Vincent Vigneron:
A Decomposition Approach for Discovering Discriminative Motifs in a Sequence Database. ECAI 2014: 1057-1058 - [c36]David Lesaint, Deepak Mehta, Barry O'Sullivan, Vincent Vigneron:
A Decomposition Approach for Discovering Discriminative Motifs in a Sequence Database. ICTAI 2014: 544-551 - [c35]Matthieu Basseur, Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion, Vincent Vigneron:
On the Attainability of NK Landscapes Global Optima. SOCS 2014: 28-34 - 2013
- [c34]Christophe Montagne, Andreas Kodewitz, Vincent Vigneron, Virgile Giraud, Sylvie Lelandais:
3D Local Binary Pattern for PET Image Classification by SVM - Application to Early Alzheimer Disease Diagnosis. BIOSIGNALS 2013: 145-150 - [c33]Mohsen Rohani, Denis Gingras, Vincent Vigneron, Dominique Gruyer:
A new decentralized Bayesian approach for cooperative vehicle localization based on fusion of GPS and inter-vehicle distance measurements. ICCVE 2013: 473-479 - [c32]Steve Pechberti, Dominique Gruyer, Vincent Vigneron:
Optimized simulation architecture for multimodal radar modeling: Application to automotive driving assistance system. ITSC 2013: 1119-1124 - [c31]A. Amadou Maranga, Nicolas Pous, Denis Gingras, Vincent Vigneron:
Short paper: Inter-vehicular distance improvement using position information in a collaborative adaptive cruise control system. VNC 2013: 210-213 - 2012
- [j7]Vincent Vigneron, Vicente Zarzoso, Rémi Gribonval, Emmanuel Vincent:
Latent variable analysis and signal separation. Signal Process. 92(8): 1765-1766 (2012) - [c30]Steve Pechberti, Dominique Gruyer, Vincent Vigneron:
Radar simulation in SiVIC platform for transportation issues. Antenna and propagation channel modelling. ITSC 2012: 469-474 - 2011
- [c29]Soheila Samiee, Mohammad Bagher Shamsollahi, Vincent Vigneron:
A new Markovian approach towards neural spike sorting. ICICS 2011: 1-5 - [p1]Camille Brunet, Thomas Villman, Vincent Vigneron:
Une famille de matrices sparses pour une modélisation multi-échelle par blocs. Fouille de données complexes 2011: 123-147 - 2010
- [j6]Vincent Vigneron, Sylvie Lelandais:
Statistics for Image Processing. Pattern Recognit. Lett. 31(14): 2191 (2010) - [j5]Vincent Vigneron, Tahir Q. Syed, Georgia Barlovatz-Meimon, Michel Malo, Christophe Montagne, Sylvie Lelandais:
Adaptive filtering and hypothesis testing: Application to cancerous cells detection. Pattern Recognit. Lett. 31(14): 2214-2224 (2010) - [c28]Vincent Vigneron, Hsin Chen, Yen-Tai Chen, Hsin-Yi Lai, You-Yin Chen:
Decomposition of EEG Signals for Multichannel Neural Activity Analysis in Animal Experiments. LVA/ICA 2010: 474-481 - [e1]Vincent Vigneron, Vicente Zarzoso, Eric Moreau, Rémi Gribonval, Emmanuel Vincent:
Latent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010. Proceedings. Lecture Notes in Computer Science 6365, Springer 2010, ISBN 978-3-642-15994-7 [contents]
2000 – 2009
- 2009
- [c27]Vincent Vigneron, Hsin Chen, Yen-Tai Chen, Hsin-Yi Lai, You-Yin Chen:
Dictionary-Based Classification Models. Applications for Multichannel Neural Activity Analysis. EANN 2009: 378-388 - [c26]Charles Bouveyron, Camille Brunet, Vincent Vigneron:
Classification of high-dimensional data for cervical cancer detection. ESANN 2009 - [c25]Massoud Babaie-Zadeh, Vincent Vigneron, Christian Jutten:
Sparse Decomposition over non-full-rank dictionaries. ICASSP 2009: 2953-2956 - [c24]Vincent Vigneron, Aurélien Hazan:
Signal Subspace Separation Based on the Divergence Measure of a Set of Wavelets Coefficients. ICA 2009: 171-178 - 2008
- [j4]Sebastien Lagrange, Luc Jaulin, Vincent Vigneron, Christian Jutten:
Nonlinear Blind Parameter Estimation. IEEE Trans. Autom. Control. 53(3): 834-838 (2008) - [c23]Vincent Vigneron:
Correlation, Independance and Inverse Modeling. ICISP 2008: 570-579 - 2007
- [c22]Mohammed Saaidia, Anis Chaari, Sylvie Lelandais, Vincent Vigneron, Mouldi Bedda:
Face localization by neural networks trained with Zernike moments and Eigenfaces feature vectors. A comparison. AVSS 2007: 377-382 - [c21]Vincent Vigneron, Sylvie Lelandais, Cecile Charriere-Bertrand, Michel Malo, Adrien Ugon, Georgia Barlovatz-Meimon:
Pro or Cons local vs. global imagery information for identifying cell migratory potential. EUSIPCO 2007: 443-448 - [c20]El Mostafa Fadaili, Vincent Vigneron:
Joint diagonalization of complex spatial-wavelet matrices for blind sources separation of non stationary sources. EUSIPCO 2007: 625-628 - [c19]Vincent Vigneron:
Some Applications of Interval Analysis to Statistical Problems. IWANN 2007: 564-579 - [i1]Riadh Kallel, Marie Cottrell, Vincent Vigneron:
Bootstrap for neural model selection. CoRR abs/math/0701145 (2007) - 2006
- [c18]Vincent Vigneron:
Entropy-based principle and generalized contingency tables. ESANN 2006: 383-388 - [c17]Aurélien Hazan, Frédéric Davesne, Vincent Vigneron, Hichem Maaref:
Quantify distinguishability in Robotics. IAS 2006: 425-432 - [c16]Aurélien Hazan, Frédéric Davesne, Vincent Vigneron, Hichem Maaref:
Topological characterization of mobile robot behavior. IROS 2006: 4157-4162 - 2005
- [c15]Ryadh Hadj Mokhneche, Hichem Maaref, Vincent Vigneron:
Fault detection techniques analysis and development of its procedural phases. EUSIPCO 2005: 1-4 - [c14]Vincent Vigneron, Hichem Maaref:
Performing dimensionality reduction of nonstationary stochastic processes using perturbation analysis. EUSIPCO 2005: 1-4 - [c13]Ryadh Hadj Mokhneche, Hichem Maaref, Vincent Vigneron:
HYbrid algorithms for the parameter estimate using fault detection, and reaching capacities. ICINCO 2005: 289-293 - 2004
- [j3]Vincent Vigneron, Ludovic Aubry, Christian Jutten:
General conditions of stability in blind source separation models and score function selection. Neurocomputing 62: 65-78 (2004) - [c12]Sebastien Lagrange, Luc Jaulin, Vincent Vigneron, Christian Jutten:
Analytical Solution of the Blind Source Separation Problem Using Derivatives. ICA 2004: 81-88 - [c11]Vincent Vigneron, Christian Jutten:
Fisher Information in Source Separation Problems. ICA 2004: 168-176 - [c10]Bertrand Rivet, Vincent Vigneron, Anisoara Paraschiv-Ionescu, Christian Jutten:
Wavelet De-noising for Blind Source Separation in Noisy Mixtures. ICA 2004: 263-270 - 2003
- [c9]Vincent Vigneron, Hichem Maaref, Sylvie Lelandais:
"Poor Man" Vote with M-ary Classifiers. Application to Iris Recognition. AVBPA 2003: 647-657 - [c8]Ana Paula Leitão, Sorin Tilie, Sio-Song Ieng, Vincent Vigneron:
Detecting and Classifying Road Turn Directions from a Sequence of Images. CAIP 2003: 555-562 - [c7]Vincent Vigneron, Sebastien Lagrange, Christian Jutten:
Acceptability conditions for BSS problems. ESANN 2003: 143-148 - [c6]Ana Paula Leitão, Sorin Tilie, Morgan Mangeas, Jean-Philippe Tarel, Vincent Vigneron, Sylvie Lelandais-Bonade:
Road Singularities Detection and Classification. ESANN 2003: 301-306 - [c5]Vincent Vigneron, Anisoara Paraschiv-Ionescu, Annabelle Azancot, Olivier Sibony, Christian Jutten:
Fetal electrocardiogram extraction based on non-stationary ICA and wavelet denoising. ISSPA (2) 2003: 69-72 - [c4]Frédéric Vrins, John Aldo Lee, Michel Verleysen, Vincent Vigneron, Christian Jutten:
Improving independent component analysis performances by variable selection. NNSP 2003: 359-368 - 2002
- [j2]Riadh Kallel, Marie Cottrell, Vincent Vigneron:
Bootstrap for neural model selection. Neurocomputing 48(1-4): 175-183 (2002) - 2001
- [c3]Vincent Vigneron, Ludovic Aubry:
More on stationnary points in Independent Component Analysis. ESANN 2001: 39-44 - 2000
- [c2]Riadh Kallel, Marie Cottrell, Vincent Vigneron:
Bootstrap for neural model selection. ESANN 2000: 61-68
1990 – 1999
- 1999
- [j1]Vincent Vigneron, Claude Barret:
Approximation Techniques for Neuromimetic Calculus. Int. J. Neural Syst. 9(3): 227-234 (1999) - 1998
- [c1]Vincent Vigneron, Claude Barret:
Training Linear Neural Network with Early Stopped Learning and Ridge Estimation. SBRN 1998: 14-19
Coauthor Index
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