Vincent Vandewalle

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2022 J jnl
Simultaneous Semiparametric Estimation of Clustering and Regression.
J. Comput. Graph. Stat.
Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle
2021 J jnl
Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering.
J. Classif.
Christophe Biernacki, Matthieu Marbac, Vincent Vandewalle
2020 J jnl
An end-to-end data-driven optimisation framework for constrained trajectories.
CoRR
Florent Dewez, Benjamin Guedj, Arthur Talpaert, Vincent Vandewalle
2020 J jnl
From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning.
CoRR
Florent Dewez, Benjamin Guedj, Vincent Vandewalle
2019 J jnl
A tractable multi-partitions clustering.
Comput. Stat. Data Anal.
Matthieu Marbac, Vincent Vandewalle
2016 J jnl
Latent class model with conditional dependency per modes to cluster categorical data.
Adv. Data Anal. Classif.
Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle
2015 J jnl
Model-Based Clustering for Conditionally Correlated Categorical Data.
J. Classif.
Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle
2014 J jnl
Mixture of Gaussians for distance estimation with missing data.
Neurocomputing
Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki
2013 J jnl
A predictive deviance criterion for selecting a generative model in semi-supervised classification.
Comput. Stat. Data Anal.
Vincent Vandewalle, Christophe Biernacki, Gilles Celeux, Gérard Govaert
2009 J jnl
Les modèles de mélange, un outil utile pour la classification semi-supervisée.
Monde des Util. Anal. Données
Vincent Vandewalle
2007 J jnl
Statistical tests to compare motif count exceptionalities.
BMC Bioinform.
Stéphane Robin, Sophie Schbath, Vincent Vandewalle