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Stéphanie Allassonnière

CRC

Optimisation des parcours patients pour lutter contre l'errance de diagnostic des patients atteints de maladies rares

Oct 27, 2020
Frédéric Logé, Rémi Besson, Stéphanie Allassonnière

* in French. Journ{\'e}es de Statistiques de la SFDS, May 2020, Nice, France 

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Geometry-Aware Hamiltonian Variational Auto-Encoder

Oct 22, 2020
Clément Chadebec, Clément Mantoux, Stéphanie Allassonnière

* 44 pages, 23 figures 

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Mixture of Conditional Gaussian Graphical Models for unlabelled heterogeneous populations in the presence of co-factors

Jun 19, 2020
Thomas Lartigue, Stanley Durrleman, Stéphanie Allassonnière


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Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM

Mar 23, 2020
Thomas Lartigue, Stanley Durrleman, Stéphanie Allassonnière


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Gaussian Graphical Model exploration and selection in high dimension low sample size setting

Mar 11, 2020
Thomas Lartigue, Simona Bottani, Stephanie Baron, Olivier Colliot, Stanley Durrleman, Stéphanie Allassonnière


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Learning from both experts and data

Oct 29, 2019
Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière


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Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects

Apr 05, 2019
Igor Koval, Stéphanie Allassonnière, Stanley Durrleman


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A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task

Nov 25, 2018
Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière, Julien Stirnemann, Emmanuel Spaggiari, Antoine Neuraz

* 24 pages 

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Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks

Sep 25, 2017
Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman

* Proc. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, Lecture Notes in Computer Science, volume 10433, pp 451-459, Springer 

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