Vincent Vandewalle

Documents

Publications

	An end-to-end data-driven optimisation framework for constrained trajectories Florent Dewez , Benjamin Guedj , Arthur Talpaert , Vincent Vandewalle Data-Centric Engineering, 2022, 3, pp.e6. ⟨10.1017/dce.2022.6⟩ Article dans une revue hal-03024720v1
	Simultaneous Semiparametric Estimation of Clustering and Regression Matthieu Marbac , Mohammed Sedki , Christophe Biernacki , Vincent Vandewalle Journal of Computational and Graphical Statistics, 2022, Journal of Computational and Graphical Statistics, -, ⟨10.1080/10618600.2021.2000872⟩ Article dans une revue hal-04395296v1
	Simultaneous semi-parametric estimation of clustering and regression Matthieu Marbac , Mohammed Sedki , Christophe Biernacki , Vincent Vandewalle Journal of Computational and Graphical Statistics, inPress Article dans une revue hal-03090573v2
	Categorical Functional Data Analysis. The cfda R Package Cristian Preda , Quentin Grimonprez , Vincent Vandewalle Mathematics , 2021, 9 (23), pp.31. ⟨10.3390/math9233074⟩ Article dans une revue hal-03515152v1
	Reject Inference Methods in Credit Scoring Adrien Ehrhardt , Christophe Biernacki , Vincent Vandewalle , Philippe Heinrich , Sébastien Beben Journal of Applied Statistics, 2021 Article dans une revue hal-03087279v2
	Multi-Partitions Subspace Clustering Vincent Vandewalle Mathematics , 2020, 8 (4), pp.597. ⟨10.3390/math8040597⟩ Article dans une revue hal-03117603v1
	From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning Florent Dewez , Benjamin Guedj , Vincent Vandewalle Data-Centric Engineering, 2020, ⟨10.1017/dce.2020.12⟩ Article dans une revue hal-02570875v1
	Estimating the number of usability problems affecting medical devices: modelling the discovery matrix Vincent Vandewalle , Alexandre Caron , Coralie Delettrez , Renaud Périchon , Sylvia Pelayo BMC Medical Research Methodology, 2020, 20 (1), ⟨10.1186/s12874-020-01091-y⟩ Article dans une revue hal-03117742v1
	Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering Christophe Biernacki , Matthieu Marbac , Vincent Vandewalle Journal of Classification, 2020, ⟨10.1007/s00357-020-09369-y⟩ Article dans une revue hal-01949155v3
	Circulating proteomic signature of early death in heart failure patients with reduced ejection fraction Marie Cuvelliez , Vincent Vandewalle , Maxime Brunin , Olivia Beseme , Audrey Hulot Scientific Reports, 2019, 9, pp.19202. ⟨10.1038/s41598-019-55727-1⟩ Article dans une revue hal-02414293v2
	A tractable Multi-Partitions Clustering Matthieu Marbac , Vincent Vandewalle Computational Statistics and Data Analysis, 2018, ⟨10.1016/j.csda.2018.06.013⟩ Article dans une revue hal-01691417v1
	ClinMine: Optimizing the Management of Patients in Hospital Clarisse Dhaenens , Julie Jacques , Vincent Vandewalle , Maxence Vandromme , Emmanuel Chazard Innovation and Research in BioMedical engineering, 2018, 39 (2), pp.83-92. ⟨10.1016/j.irbm.2017.12.002⟩ Article dans une revue hal-01692197v1
	Model-based clustering of Gaussian copulas for mixed data Matthieu Marbac , Christophe Biernacki , Vincent Vandewalle Communications in Statistics - Theory and Methods, 2017, 46 (23), pp.11635-11656. ⟨10.1080/03610926.2016.1277753⟩ Article dans une revue hal-00987760v4
	Latent class model with conditional dependency per modes to cluster categorical data Matthieu Marbac , Christophe Biernacki , Vincent Vandewalle Advances in Data Analysis and Classification, 2016, 10 (2), pp.183-207. ⟨10.1007/s11634-016-0250-1⟩ Article dans une revue hal-00950112v2
	Model-based clustering for conditionally correlated categorical data Matthieu Marbac , Christophe Biernacki , Vincent Vandewalle Journal of Classification, 2015, 2 (32), pp.145-175. ⟨10.1007/s00357⟩ Article dans une revue hal-00787757v3
	Mixture of Gaussians for Distance Estimation with Missing Data Emil Eirola , Amaury Lendasse , Vincent Vandewalle , Christophe Biernacki Neurocomputing, 2014, 131, pp.32-42. ⟨10.1016/j.neucom.2013.07.050⟩ Article dans une revue hal-00921023v2
	A predictive deviance criterion for selecting a generative model in semi-supervised classification Vincent Vandewalle , Christophe Biernacki , Gilles Celeux , Gérard Govaert Computational Statistics and Data Analysis, 2013, 64, pp.220-236. ⟨10.1016/j.csda.2013.02.010⟩ Article dans une revue inria-00516991v1
	Les logiciels et l'enseignement de la statistique dans les départements " Statistique et Informatique Décisionnelle " (STID) des IUT Gérard Grégoire , François-Xavier Jollois , Jean-François Petiot , Abdellah Qannari , Serge Sabourin Statistique et Enseignement, 2012, 2 (2), pp.5-24 Article dans une revue hal-00913110v1
	Statistical tests to compare motif count exceptionalities Stephane Robin , Sophie Schbath , Vincent Vandewalle BMC Bioinformatics, 2007, 8, pp.84. ⟨10.1186/1471-2105-8-84⟩ Article dans une revue hal-01197501v1

	Classification non supervisée des processus d'événements récurrents Génia Babykina , Vincent Vandewalle JdS 2023 - 54es Journées de Statistique de la SFdS, Jul 2023, Bruxelles (BEL), France Communication dans un congrès hal-04411145v1
	Clustering: from modeling to visualizing Mapping clusters as spherical Gaussians Christophe Biernacki , Vincent Vandewalle , Matthieu Marbac SFC 2023 - Rencontres de la Société Francophone de Classification, Jul 2023, Strasbourg, France Communication dans un congrès hal-04370886v1
	Impact of missing data on mixtures and clustering with illustrations in Biology and Medicine Christophe Biernacki , Claire Boyer , Gilles Celeux , Julie Josse , Fabien Laporte SPSR 2023 - The 24th annual Conference of the Romanian Society of Probability and Statistics, Apr 2023, Bucarest, Romania Communication dans un congrès hal-04370870v1
	Clustering of recurrent events data applied to the re-admission of elderly people at hospital Vincent Vandewalle , Genia Babykina , Jean-Baptiste Beuscart , Jesus A. Carretero Bravo , Fabien Visade European Conference on Data Analysis 2022, Sep 2022, Naples, Italy Communication dans un congrès hal-03899727v1
	Clinical score building from high-throughput proteomic data Guillemette Marot , Wilfried Heyse , Vincent Vandewalle , Christophe Bauters , Florence Pinet ICM/Inria/SCAI workshop “Computational and mathematical approaches for neuroscience”, Jun 2022, Paris, France Communication dans un congrès hal-03942723v1
	Support of temporal structure in the statistical analysis of high-throughput proteomic data Wilfried Heyse , Vincent Vandewalle , Philippe Amouyel , Guillemette Marot , Christophe Bauters Journées de Statistique 2021, Jun 2021, Nice, France Communication dans un congrès hal-03525345v1
	Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering Christophe Biernacki , Matthieu Marbac Lourdelle , Vincent Vandewalle MIMO 2021: Workshop on Mixture Models, Apr 2021, Rouen, France Communication dans un congrès hal-03505667v1
	Simultaneous semi-parametric estimation of clustering and regression Matthieu Marbac , Mohammed Sedki , Christophe Biernacki , Vincent Vandewalle 52èmes journées de la SFdS, Jun 2021, Nice / Virtual, France Communication dans un congrès hal-03515286v1
	Identification of patients subtypes based on protein expression for prediction of heart failure after myocardial infarction Wilfried Heyse , Vincent Vandewalle , Philippe Amouyel , Guillemette Marot , Christophe Bauters Printemps de la cardiologie 2021, May 2021, Online, France. pp.213, ⟨10.1016/j.acvdsp.2021.04.159⟩ Communication dans un congrès hal-03525354v1
	Impact of Missing Data on Mixtures and Clustering Christophe Biernacki , Claire Boyer , Gilles Celeux , Julie Josse , Fabien Laporte MHC2021 - Mixtures, Hidden Markov Models, Clustering, Jun 2021, Orsay, France Communication dans un congrès hal-03505664v1
	Estimation du nombre de problèmes et détermination du nombre de sujets nécessaires dans les études d’utilisabilité : une approche bayésienne Vincent Vandewalle , Alexandre Caron , Benoît Dervaux Journées Biostatistiques 2020 - GDR « Statistiques & santé », Oct 2020, Paris, France Communication dans un congrès hal-03118164v1
	Proteomic signature for early diagnosis of left ventricular remodeling after myocardial infarction Wilfried Heyse , Vincent Vandewalle , Philippe Amouyel , Guillemette Marot , Christophe Bauters Printemps de la cardiologie 2020, Oct 2020, Grenoble, France Communication dans un congrès hal-03124801v1
	Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering Christophe Biernacki , Matthieu Marbac-Lourdelle , Vincent Vandewalle 3rd International Conference on Econometrics and Statistics (EcoSta 2019), Jun 2019, Taichung, Taiwan Communication dans un congrès hal-02398999v1
	Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering Christophe Biernacki , Matthieu Marbac-Lourdelle , Vincent Vandewalle SPSR 2019, Apr 2019, Bucarest, Romania Communication dans un congrès hal-02400486v1
	Gaussian-based visualization of Gaussian and non-Gaussian model-based clustering Christophe Biernacki , Vincent Vandewalle , Matthieu Marbac 23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania Communication dans un congrès hal-01949127v1
	A targeted multi-partitions clustering Matthieu Marbac , Christophe Biernacki , Mohammed Sedki , Vincent Vandewalle The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Dec 2018, Pise, Italy Communication dans un congrès hal-01949111v1
	Clustering spatial functional data Vincent Vandewalle , Cristian Preda , Sophie Dabo ERCIM 2018, Dec 2018, Pise, Italy Communication dans un congrès hal-01956923v1
	A tractable multi-partitions clustering Vincent Vandewalle , Matthieu Marbac COMPSTAT 2018 - 23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania Communication dans un congrès hal-01956922v1
	Supervised multivariate discretization and levels merging for logistic regression Adrien Ehrhardt , Vincent Vandewalle , Christophe Biernacki , Philippe Heinrich 23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania Communication dans un congrès hal-01949128v1
	Réintégration des refusés en Credit Scoring Adrien Ehrhardt , Christophe Biernacki , Vincent Vandewalle , Philippe Heinrich , Sébastien Beben 49e Journées de Statistique, May 2017, Avignon France Communication dans un congrès hal-01653767v1
	Simultaneous dimension reduction and multi-objective clustering Vincent Vandewalle IFCS 2017 - Conference of the International Federation of Classification Societies, Aug 2017, Tokyo, Japan. pp.1-29 Communication dans un congrès hal-01662271v1
	Mixture Models with Missing data Classication of Satellite Image Time Series Serge Iovleff , Mathieu Fauvel , Stéphane Girard , Cristian Preda , Vincent Vandewalle Journées Science des Données MaDICS 2017, Jun 2017, Marseille, France. pp.1-60 Communication dans un congrès hal-01649206v1
	Model-based variable clustering Vincent Vandewalle , Thierry Mottet , Matthieu Marbac CMStatistics/ERCIM 2017 - 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2017, London, United Kingdom. pp.1-19 Communication dans un congrès hal-01691421v1
	Survival analysis with complex covariates: a model-based clustering preprocessing step Vincent Vandewalle , Christophe Biernacki IEEE PHM 2017, Jun 2017, Dallas, United States Communication dans un congrès hal-01667588v1
	Dealing with missing data through mixture models Vincent Vandewalle , Christophe Biernacki ICB Seminars 2017 - 154th Seminar on ”Statistics and clinical practice”, May 2017, Varsovie, Poland. pp.1-3 Communication dans un congrès hal-01667614v1
	Pitfalls in Mixtures from the Clustering Angle Christophe Biernacki , Gwenaelle Castellan , Stephane Chretien , Benjamin Guedj , Vincent Vandewalle Working Group on Model-Based Clustering Summer Session, Jul 2016, Paris, France Communication dans un congrès hal-01419755v1
	Model-based clustering of categorical data by relaxing conditional independence Matthieu Marbac , Christophe Biernacki , Vincent Vandewalle Classification Society Meeting, Mc Master University, Jun 2015, Hamilton, Ontario, Canada Communication dans un congrès hal-01238334v1
	An efficient SEM algorithm for Gaussian Mixtures with missing data Vincent Vandewalle , C Biernacki 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, United Kingdom Communication dans un congrès hal-01242588v1
	Clustering categorical functional data Application to medical discharge letters Vincent Vandewalle , Cristina Cozma , Cristian Preda 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, France Communication dans un congrès hal-01251284v1
	Sélection prédictive d'un modèle génératif par le critère AICp Vincent Vandewalle 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France Communication dans un congrès inria-00386678v1

	Proteomic signature for early diagnosis of left ventricular remodeling after myocardial infarction Wilfried Heyse , Vincent Vandewalle , Philippe Amouyel , Guillemette Marot , Christophe Bauters Printemps de la Cardiologie 2020, Oct 2020, Grenoble / Virtual, France Poster de conférence hal-03124837v1
	Simultaneous dimension reduction and multi-objective clustering Vincent Vandewalle Statlearn’17, Lyon: 4-7 april 2017, Apr 2017, Lyon, France Poster de conférence hal-03183333v1
	Model-based multivariate discretization for logistic regression Adrien Ehrhardt , Christophe Biernacki , Vincent Vandewalle , Philippe Heinrich Data Science Summer School, Aug 2017, Paris, France. 2017 Poster de conférence hal-02075126v1
	Clustering categorical functional data Application to medical discharge letters Medical discharge letters Vincent Vandewalle , Cristian Preda Working Group on Model-Based Clustering Summer Session: Paris, July 17-23, 2016, Jul 2016, Paris, France. 2016 Poster de conférence hal-01424950v1
	Label switching in mixtures Christophe Biernacki , Vincent Vandewalle Working Group on Model-Based Clustering Summer Session: Glasgow, July 17-23, 2011, Jul 2011, Glasgow, United Kingdom, France Poster de conférence hal-03183299v1

	Categorical functional data analysis. The cfda R package Cristian Preda , Quentin Grimonprez , Vincent Vandewalle The 14th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2021, London, United Kingdom Document associé à des manifestations scientifiques hal-03518940v1
	Simultaneous dimension reduction and multi-objective clustering using probabilistic factorial discriminant analysis Vincent Vandewalle CMStatistics 2016, Dec 2016, Sevilla, Spain Document associé à des manifestations scientifiques hal-01424965v1
	Table ronde : “pourquoi et comment enseigner l’analyse de données massives (big data)” Chloé Friguet , Frédérique Letué , Vincent Vandewalle 47èmes Journées de Statistique de la SFdS, Jun 2015, Lille, France Document associé à des manifestations scientifiques hal-01250812v1

	Clustering spatial functional data Vincent Vandewalle , Cristian Preda , Sophie Dabo-Niang J. Mateu and R. Giraldo. Geostatistical Functional Data Analysis : Theory and Methods. Editors: Jorge Mateu, Ramon Giraldo, John Wiley and Sons, Chichester. ISBN : 978-1-119-38784-8, 2021, Geostatistical Functional Data Analysis : Theory and Methods Chapitre d'ouvrage hal-01948934v1

	cfda: an R Package for Categorical Functional Data Analysis Cristian Preda , Quentin Grimonprez , Vincent Vandewalle 2020 Pré-publication, Document de travail hal-02973094v1
	Feature quantization for parsimonious and interpretable predictive models Adrien Ehrhardt , Christophe Biernacki , Vincent Vandewalle , Philippe Heinrich 2019 Pré-publication, Document de travail hal-01949135v2
	Classification de données mixtes par un modèle de mélange de copules gaussiennes. Matthieu Marbac , Christophe Biernacki , Vincent Vandewalle 2014 Pré-publication, Document de travail hal-00940613v1

	Estimation et sélection en classification semi-supervisée Vincent Vandewalle Mathématiques [math]. Université des Sciences et Technologie de Lille - Lille I, 2009. Français. ⟨NNT : ⟩ Thèse tel-00447141v1

	Contribution to model-based clustering of heterogeneous data Vincent Vandewalle Statistics [math.ST]. Université de Lille, 2021 HDR tel-03118189v1

Vincent Vandewalle

Publications

An end-to-end data-driven optimisation framework for constrained trajectories

Simultaneous Semiparametric Estimation of Clustering and Regression

Simultaneous semi-parametric estimation of clustering and regression

Categorical Functional Data Analysis. The cfda R Package

Reject Inference Methods in Credit Scoring

Multi-Partitions Subspace Clustering

From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning

Estimating the number of usability problems affecting medical devices: modelling the discovery matrix

Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering

Circulating proteomic signature of early death in heart failure patients with reduced ejection fraction

A tractable Multi-Partitions Clustering

ClinMine: Optimizing the Management of Patients in Hospital

Model-based clustering of Gaussian copulas for mixed data

Latent class model with conditional dependency per modes to cluster categorical data

Model-based clustering for conditionally correlated categorical data

Mixture of Gaussians for Distance Estimation with Missing Data

A predictive deviance criterion for selecting a generative model in semi-supervised classification

Les logiciels et l'enseignement de la statistique dans les départements " Statistique et Informatique Décisionnelle " (STID) des IUT

Statistical tests to compare motif count exceptionalities

Classification non supervisée des processus d'événements récurrents

Clustering: from modeling to visualizing Mapping clusters as spherical Gaussians

Impact of missing data on mixtures and clustering with illustrations in Biology and Medicine

Clustering of recurrent events data applied to the re-admission of elderly people at hospital

Clinical score building from high-throughput proteomic data

Support of temporal structure in the statistical analysis of high-throughput proteomic data

Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering

Simultaneous semi-parametric estimation of clustering and regression

Identification of patients subtypes based on protein expression for prediction of heart failure after myocardial infarction

Impact of Missing Data on Mixtures and Clustering

Estimation du nombre de problèmes et détermination du nombre de sujets nécessaires dans les études d’utilisabilité : une approche bayésienne

Proteomic signature for early diagnosis of left ventricular remodeling after myocardial infarction

Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering

Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering

Gaussian-based visualization of Gaussian and non-Gaussian model-based clustering

A targeted multi-partitions clustering

Clustering spatial functional data

A tractable multi-partitions clustering

Supervised multivariate discretization and levels merging for logistic regression

Réintégration des refusés en Credit Scoring

Simultaneous dimension reduction and multi-objective clustering

Mixture Models with Missing data Classication of Satellite Image Time Series

Model-based variable clustering

Survival analysis with complex covariates: a model-based clustering preprocessing step

Dealing with missing data through mixture models

Pitfalls in Mixtures from the Clustering Angle

Model-based clustering of categorical data by relaxing conditional independence

An efficient SEM algorithm for Gaussian Mixtures with missing data

Clustering categorical functional data Application to medical discharge letters

Sélection prédictive d'un modèle génératif par le critère AICp

Proteomic signature for early diagnosis of left ventricular remodeling after myocardial infarction

Simultaneous dimension reduction and multi-objective clustering

Model-based multivariate discretization for logistic regression

Clustering categorical functional data Application to medical discharge letters Medical discharge letters

Label switching in mixtures

Categorical functional data analysis. The cfda R package

Simultaneous dimension reduction and multi-objective clustering using probabilistic factorial discriminant analysis

Table ronde : “pourquoi et comment enseigner l’analyse de données massives (big data)”

Clustering spatial functional data

cfda: an R Package for Categorical Functional Data Analysis

Feature quantization for parsimonious and interpretable predictive models

Classification de données mixtes par un modèle de mélange de copules gaussiennes.

Estimation et sélection en classification semi-supervisée

Contribution to model-based clustering of heterogeneous data