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Pushing Data into CP Models Using Graphical Model Learning and Solving
Celine Brouard
,
Simon de Givry
,
Thomas Schiex
International Conference on Principles and Practice of Constraint Programming, Sep 2020, Louvain La Neuve, Belgium
Conference papers
hal-02942378v1
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Critical Assessment of Small Molecule Identification 2016: automated methods
Emma L. Schymanski
,
Christoph Ruttkies
,
Martin Krauss
,
Celine Brouard
,
Tobias Kind
,
et al.
Journal articles
hal-02626233v1
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Machine Learning of Protein Interactions in Fungal Secretory Pathways
Jana Kludas
,
Mikko Arvas
,
Sandra Castillo
,
Tiina Pakula
,
Merja Oja
,
et al.
PLoS ONE, 2016, 11, pp.1-20
Journal articles
hal-02629835v1
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Liquid-chromatography retention order prediction for metabolite identification
Eric Bach
,
Sandor Szedmak
,
Celine Brouard
,
Sebastian Böcker
,
Juho Rousu
Journal articles
hal-02625281v1
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Semi-supervised Penalized Output Kernel Regression for Link Prediction
Celine Brouard
,
Florence d'Alché-Buc
,
Marie Szafranski
28th International Conference on Machine Learning (ICML 2011), Jun 2011, Bellevue, WA, United States. pp.593--600
Conference papers
hal-00654123v1
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Markov Logic Network for supervised gene regulation inference: application to the ID2 regulatory network in human keratinocytes
Celine Brouard
,
Julie Dubois
,
Christel Vrain
,
David Castel
,
Marie-Anne Debily
,
et al.
International Workshop on Machine Learning in Systems Biology, Sep 2012, Bâle, Switzerland
Conference papers
hal-00833312v1
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Régression semi-supervisée à sortie noyau pour la prédiction de liens
Celine Brouard
,
Florence d'Alché-Buc
,
Marie Szafranski
CAP, May 2011, Chambéry, France. pp.119-134
Conference papers
hal-00830434v1
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Fast metabolite identification with Input Output Kernel Regression
Celine Brouard
,
Huibin Shen
,
Kai Dührkop
,
Florence d'Alché-Buc
,
Sebastian Böcker
,
et al.
Journal articles
hal-02637720v1
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Protein-protein interaction network inference with semi-supervised Output Kernel Regression
Celine Brouard
,
Marie Szafranski
,
Florence d'Alché-Buc
JOBIM, Jul 2012, Rennes, France. pp.133-136
Conference papers
hal-00830428v1
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Inférence de réseaux d'interaction protéine-protéine par apprentissage statistique
Celine Brouard
Theses
tel-00845692v1
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Gene regulatory network inference methodology for genomic and transcriptomic data acquired in genetically related heterozygote individuals
Lise Pomiès
,
Celine Brouard
,
Harold Duruflé
,
Élise Maigné
,
Clément Carré
,
et al.
Journal articles
hal-03776333v1
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Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
Luc Brogat-Motte
,
Rémi Flamary
,
Celine Brouard
,
Juho Rousu
,
Florence d'Alché-Buc
ICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States
Conference papers
hal-03670855v1
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Regularized Output Kernel Regression applied to protein-protein interaction network inference
Celine Brouard
,
Marie Szafranski
,
Florence d'Alché-Buc
Workshop on Networks Across Disciplines, Dec 2010, Whistler, Canada
Conference papers
hal-00844501v1
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Extension de la NMF supervisée pour l'intégration de données omiques
Aurélie Mercadié
,
Eleonore Gravier
,
Gwendal Josse
,
Nathalie Vialaneix
,
Celine Brouard
Journée de Statistique de la SFdS, Société Française de Statistique, Jul 2023, Bruxelles, Belgium
Conference papers
hal-04154752v1
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Leçons apprises de l' évaluation des méthodes d'inférence de réseau de gènes chez Bacillus subtilis
Léa Grima
,
Celine Brouard
,
Simon De Givry
,
Anne Goelzer
,
Élise Maigné
,
et al.
Journée Régionale Bioinfo/Biostat, Dec 2022, Toulouse, France.
Poster communications
hal-03882985v1
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Magnitude-Preserving Ranking for Structured Outputs
Celine Brouard
,
Eric Bach
,
Sebastian Böcker
,
Juho Rousu
Asian conference on machine learning (ACML 2017), Nov 2017, Seoul, South Korea. 16 p
Conference papers
hal-02734693v1
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Improved small molecule identification through learning combinations of kernel regression models
Celine Brouard
,
Florence d'Alché-Buc
,
Juho Rousu
Journée Régionale de Bioinformatique et Biostatistique, Génopole Toulouse, Oct 2019, Auzeville, France. 2019
Poster communications
hal-02786616v1
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Inférence de réseaux d'interaction protéine-protéine par apprentissage statistique
Celine Brouard
Sciences du Vivant [q-bio]. Université d'Évry-Val-d'Essonne, 2013. Français. ⟨NNT : ⟩
Theses
tel-02806827v1
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Soft Kernel Target Alignment for Two-Stage Multiple Kernel Learning
Huibin Shen
,
Sandor Szedmak
,
Celine Brouard
,
Juho Rousu
Conference papers
hal-02741192v1
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Unsupervised variable selection for kernel methods in systems biology
Jérôme J. Mariette
,
Celine Brouard
,
Remi Flamary
,
Nathalie Vialaneix
Journée Régionale de Bioinformatique et Biostatistique, Génopole Toulouse, Oct 2019, Toulouse, France
Conference papers
hal-02787253v1
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Feature selection for kernel methods in systems biology
Celine Brouard
,
Jérôme J. Mariette
,
Rémi Flamary
,
Nathalie Vialaneix
Journal articles
hal-03601435v1
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Input output Kernel regression : supervised and semi-supervised structured output prediction with operator-valued kernels
Celine Brouard
,
Marie Szafranski
,
Florence d'Alché-Buc
Journal of Machine Learning Research, 2016, 17
Journal articles
hal-01601982v1
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Learning Output Embeddings in Structured Prediction
Luc Brogat-Motte
,
Alessandro Rudi
,
Celine Brouard
,
Juho Rousu
,
Florence d'Alché-Buc
2021
Preprints, Working Papers, ...
hal-03282445v1
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Vector-Valued Least-Squares Regression under Output Regularity Assumptions
Luc Brogat-Motte
,
Alessandro Rudi
,
Celine Brouard
,
Juho Rousu
,
Florence d'Alché-Buc
Journal of Machine Learning Research, 2022
Journal articles
hal-03888760v1
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Learning a Markov Logic network for supervised gene regulatory network inference
Celine Brouard
,
Christel Vrain
,
Julie Dubois
,
David Castel
,
Marie-Anne Debily
,
et al.
Journal articles
hal-00868767v1
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RNA expression dataset of 384 sunflower hybrids in field condition
Charlotte Penouilh-Suzette
,
Lise Pomies
,
Harold Duruflé
,
Nicolas Blanchet
,
Fanny Bonnafous
,
et al.
Journal articles
hal-02912579v1
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Regularized output kernel regression for protein-protein interaction prediction: application to link transfer and transduction
Florence d'Alché-Buc
,
Adriana Birlutiu
,
Celine Brouard
,
Tom Heskes
,
Marie Szafranski
Workshop on Machine Learning in Computational Biology, Dec 2010, Whistler, Canada
Conference papers
hal-00844409v1
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A new theoretical angle to semi-supervised output kernel regression for protein-protein interaction network inference
Celine Brouard
,
Florence d'Alché-Buc
,
Marie Szafranski
International Workshop on Machine Learning in Systems Biology, Jul 2011, Vienne, Austria
Conference papers
hal-00832056v1
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Input Output Kernel Regression
Celine Brouard
,
Florence d'Alché-Buc
,
Marie Szafranski
2015
Preprints, Working Papers, ...
hal-01216708v1
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Improved Small Molecule Identification through Learning Combinations of Kernel Regression Models
Celine Brouard
,
Antoine Bassé
,
Florence d'Alché-Buc
,
Juho Rousu
Journal articles
hal-02618085v1
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