The article
Servien, R. & Vialaneix, N. (2024). A random forest approach for interval selection in functional regression. Statistical Analysis... continue reading...
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The article Neuvial, P., Randriamihamison, N., Chavent, M., Foissac, S., & Vialaneix, N. (2024). A two-sample tree-based test for hierarchically... continue reading...
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The article Brouard, C., Mourad, R., & Vialaneix, N. (2024). Should we really use graph neural networks for transcriptomic prediction? INRAE is currently (December 23rd, 2023) under cyber-attack: access to my professional emails has been cut for an undefined amount... continue reading...
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Between May 27-31, I will give an invited talk in Bordeaux during the Journées de Statistique de la... continue reading...
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The article Maigné, É., Noirot, C., Henry, J., Adu Kesewaah, Y., Badin, L., Déjean, S., Guilmineau, C., Krebs, A., Mathevet,... continue reading...
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I will be giving classes on random forests and their applications at ECAS-SFdS course (Fréjus, France; October 8-13). more... continue reading...
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On September 19th, I will be participating to a discussion panel on multidisciplinary research organized for the Ateliers de l’interdisciplinarité.... continue reading...
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Nous recherchons un étudiant de formation initiale en mathématiques appliquées ou bioinformatique pour démarrer une thèse sur l’analyse de données... continue reading...
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A postdoc position on network inference is available in our team description in French or description in English. On Wednesday October, 16th, I will give a talk in Montpellier during the conference Machine Learning for Life Sciences.... continue reading...
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Le mercredi 19 octobre à 17h, je donnerai une séminaire au groupe des utilisateurs de R de Toulouse sur... continue reading...
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Our poster on ASTERICS will be presented during ECCB 2022. Please reach out to us if you want... continue reading...
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The article Mayer, I. and Sportisse, A. and Josse, J. and Tierney, N. and Vialaneix, N. (2022). R-miss-tastic: a unified... continue reading...
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Céline Noirot (Genotoul Bioinfo) will present ASTERICS during JOBIM 2022 Rémi Servien and myself will be presenting work-in-progress results on: Sélection d’intervalles pour des prédicteurs fonctionnels à partir de... continue reading...
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The article Brouard, C., Mariette, J., Flamary, R., & Vialaneix, N. (2022). Feature selection for kernel methods in systems biology. A (CIFRE) PhD position in machine learning for omics data is available in our group, in association with Pierre Fabre... continue reading...
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Nathanaël Randriamihamison (co-supervised with Marie Chavent, Inria, CQFD Bordeaux, Pierre Neuvial, CNRS, IMT, Toulouse and Sylvain Foissac, INRAE, GenPhySE, Toulouse)... continue reading...
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Gaëlle Lefort (co-supervised with Rémi Servien, INRAE LBE, Laurence Liaubet, INRAE GenPhySE and Hélène Quesnel, INRAE PEGASE) worked during her... continue reading...
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new article on differential analysis of hierarchical data
new article on Graph Neural Networks
IMPORTANT emails have been shut down!
Upcoming conference in Bordeaux, Journées de Statistique de la SFdS
article on ASTERICS
Upcoming ECAS-SFdS course on Random forests
Upcoming participation to Ateliers de l'interdisciplinarité
Proposition de sujet de thèse
A postdoc position is available (asap)
Upcoming conference in Montpellier / Machine Learning for Life Sciences
Upcoming seminar at RUG Toulouse - ASTERICS
Presentation of ASTERICS at ECCB 2022 (poster)
article on missing data website
Presentation of ASTERICS at JOBIM 2022
Presentation at JdS 2022
article on variable selection in kernel methods
PhD position in machine learning for omics data (CIFRE)
Nathanaël Randriamihamison's PhD defense
Gaëlle Lefort's PhD defense