Christine Sinoquet
Publications
Publications
Assessing Graph Neural Networks for latency and power consumption prediction in application mappings on multicore architecturesEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2026, Bruges, Belgium |
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Graph Neural Networks for Graph-Level Regression on Heterogeneous Network Data: Use Case in Early-Stage Optimization of Software Mapping on Multicore PlatformsSymposium on Intelligent Data Analysis (IDA 2026), Apr 2026, Leiden, Netherlands. paper ID 22 |
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Deep joint modelling of mixed asynchronous streams - Proof of concept for data-driven simulation of a digital patient under anaesthesia28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024), KES, Sep 2024, Seville (Spain), Spain. pp.2597 - 2606, ⟨10.1016/j.procs.2024.09.438⟩ |
Prediction and Inference in a Partially Hidden Markov-switching Framework with Autoregression. Application to Machinery Health Diagnosis.33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), IEEE-CS, Nov 2021, virtual event, United States |
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Detection of gene-gene interactions: methodological comparison on real-world data and insights on synergy between methods.International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC2019, Feb 2019, Prague, Czech Republic. pp.30-42, ⟨10.5220/0007374400300042⟩ |
Enhanced ensemble approach to learn Markov blankets for feature subset selection in high-dimensional settings. Illustration with an application to mine genetic data.Cap2018 (French Conference on Machine Learning), Jun 2018, Rouen, France |
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Enhancement of a stochastic Markov blanket framework with ant colony optimization, to uncover epistasis in genetic association studies.ESANN 2018 - 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2018, Bruges, Belgium. pp.673-678 |
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Random forests with latent variables to foster feature selection in the context of highly correlated variables. Illustration with a bioinformatics application.17th International Symposium on Intelligent Data Analysis, IDA2018, Oct 2018, 's-Hertogenbosch, Netherlands. pp.290-302, ⟨10.1007/978-3-030-01768-2_24⟩ |
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Combining latent tree modeling with a random forest-based approach, for genetic association studies26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN2018, Apr 2018, Bruges, Belgium. pp.225-230 |
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Optimisation par colonie de fourmis pour la sélection de variables par construction stochastique de couverture de Markov - Application pour la médecine de précision.19th edition of the annual congress of the French Society for Operation Research and Decision Assistance, ROADEF2018, Feb 2018, Lorient, France |
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Random forest framework customized to handle highly correlated variables: an extensive experimental study applied to feature selection in genetic data.IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA2018, Oct 2018, Turin, Italy. pp.217-226, ⟨10.1109/dsaa.2018.00032⟩ |
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Ant colony optimization for Markov blanket-based feature selection. Application for precision medicine4th International Conference on Machine Learning, Optimization, and Data Science, LOD2018, Sep 2018, Volterra, Tuscany, Italy. 12 p., ⟨10.1007/978-3-030-13709-0_18⟩ |
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Impact du choix de la méthode de partitionnement pour les forêts d'arbres latentsSFC2015, P. Kuntz, Sep 2015, Nantes, France. pp.24-27 |
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Modeling genetical data with forests of latent trees for applications in association genetics at a large scale. Which clustering method should be chosen?International Conference on Bioinformatics Models, Methods and Algorithms, Bioinformatics2015, Nov 2014, Lisbon, Portugal. pp.12 |
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Modeling of genotype data with forests of latent trees to detect genetic causes of diseasesAdo2013 (Machine Learning and Omics Data), Dec 2013, Lille, France. 6 p |
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Forests of latent tree models for the detection of genetic associationsInternational Conference on Bioinformatics Models, Methods and Algorithms (BIOINFORMATICS 2012), Feb 2012, Vilamoura, Portugal. pp.1-10, ⟨10.5220/0003703400050014⟩ |
Simulation of phenotypes under H1 in genome wide association studies and applications.Fourth edition of workshop Statistical Methods for Post Genomics Analysis, SMPGD2012, France, Lyon, january 26-27, Jan 2012, Lyon, France |
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Waffect: a method to simulate case-control samples in genome-wide association studies.JOBIM, Jun 2011, Paris, France. 7 p |
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Waffect : a method to simulate case-control samples in genome-wide association studies.43ème édition des journées de la Société Française de Statistique, May 2011, Gammarth, Tunisia |
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Learning Hierarchical Bayesian Networks for Genome-Wide Association StudiesCOMPSTAT, Nineteenth International Conference on Computational Statististics, Aug 2010, Paris, France. pp.549-556 |
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Apprentissage de réseaux bayésiens hiérarchiques latents pour les études d'association pangénomiquesProc. JFRB 2010, 5th French-speaking meeting on Bayesian networks, Nantes, May 2010, Nantes, France. pp.11-12 |
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Réseaux bayésiens hiérarchiques avec variables latentes pour la modélisation des dépendances entre SNP: une approche pour les études d'association pangénomiquesProc. SFC 2010, XVIIth Join Meeting of the French Society of Classification, France, Saint-Denis de la Réunion, 9-11 june, Jun 2010, Saint-Denis de la Réunion, France. pp.25-29 |
Hierarchical Bayesian networks applied to association geneticsMODGRAPH 2010 (Modèles graphiques probabilistes pour l'intégration de données hétérogènes et la découverte de modèles causaux en biologie), Journée satellite de JOBIM 2010, Sep 2010, Montpellier, France |
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SNPShuttle: bi-directional scan of SNP arrays to gain accuracy in missing genotype inferenceProc. Seventh Asia-Pacific Bioinformatics Conference, APBC2009, ISBN 978-7-302-19048-6, Jan 2009, Beijing, China. pp.915-925 |
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Modélisation des dépendances locales entre SNP à l'aide d'un réseau bayésienProc. SFC'09, XVIth Join Meeting of the French Society of Classification, actes des 16èmes rencontres de la Société Francophone de Classification, Sep 2009, Grenoble, France. pp.169-172 |
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A Bayesian network approach to model local dependencies among SNPsMODGRAPH 2009 Probabilistic graphical models for integration of complex data and discovery of causal models in biology, satellite meeting of JOBIM 2009, Jun 2009, Nantes, France |
Reverse translation of amino-acid sequences: a method guided by an n-gram modelProc. JOBIM 2000 : Journées Ouvertes pour la Biologie, l'Informatique et les Mathématiques Open workshop for Biology, Computer Science and Mathematics, May 2000, Montpellier, France. pp.343-350 |
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Extending the Hardness of RNA Secondary Structure Comparison1st International Symposium on Combinatorics, Algorithms, Probabilistic and Experimental Methodologies (ESCAPE 2007), Apr 2007, Hangzhou, China. pp.140-151 |
A novel approach for structured consensus motif inference under specificity and quorum constraintsProc. Fourth Asia-Pacific Bioinformatics Conference, APBC2006, Advances in Bioinformatics and Computational Biology, ISBN 1-86094-623-2, Feb 2006, Taipei, Taiwan. pp.207-216 |
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When chance helps inferring a structured consensus motif from DNA sequences: study of the metaheuristics approach KaosProc. CompBioNets2005, Algorithms and Computational Methods for Biochemical and Evolutionary Networks, ISBN 1904987311, Dec 2005, Lyon, France. pp.107-132 |
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A cooperative strategy dedicated to structured motif discovery in genomic dataProc. Fith ALIO-EURO Conference on Combinatorial Optimization, Oct 2005, Paris, France. pp.106-107 |
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Révélation de motif consensus fonctionnel dans un génomeFRANCORO IV, International French-speaking Conference on Operational Research, Oct 2004, Fribourg, Switzerland. pp.89-90 |
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Maximal sub-triangulation as preprocessing phylogenetic dataInternational Conference Journées de l'Informatique Messine, Sep 2003, Metz, France |
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Interdépendances nappe-gravières en région AlsaceForum scientifique «bravo l'eau», 29 mars 1990, au Conseil Général du Haut-Rhin à Colmar, 1990, France. 8 p |
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Machine Learning Approaches for Application Mapping Optimization in Network-on-Chip ArchitecturesColloque du GDR SOC2, Jun 2025, Lorient, France. pp.sciencesconf.org:gdr-soc2-2025:641241, 2025 |
Probabilistic graphical models for genetics, genomics and postgenomicsKeith Mansfield. Oxford University Press, 480 p., 2014, 978-0-19-870902-2 |
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Biomedical Engineering Systems and Technologies, 7th International Joint Conference, BIOSTEC2014, Extended Selected PapersSpringer, 2014, Communication in Computer and Information Science |
Machine learning and combinatorial optimization to detect gene-gene interactions in genome-wide real data: looking through the prism of four methods and two protocolsBiomedical Engineering Systems and Technologies, 12th International Joint Conference, BIOSTEC2019, Czech Republic, Prague, 22-24 february, Extended Selected Papers, Communication in Computer and Information Science, A. Fred and H. Gamboa (eds.), Springer, 29 pages, In press |
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Latent Forests to Model Genetical Data for the Purpose of Multilocus Genome-wide Association Studies. Which clustering should be chosen?Communication in Computer and Information Science, Springer, pp.17, 2015, BIOSTEC2015 |
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Probabilistic graphical models for next-generation genomics and genetics.Oxford University Press. Probabilistic graphical models for genetics, genomics, and postgenomics, , 2014 |
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Essentials to understand probabilistic graphical models: a tutorial about inference and learning.Probabilistic graphical models for genetics, genomics, and postgenomics, Oxford University Press, pp.30-82, 2014 |
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Modeling linkage disequilibrium and performing association studies through probabilistic graphical models: a visiting tour of recent advances.Probabilistic graphical models for genetics, genomics, and postgenomics, Oxford University Press, pp.217-246, 2014 |
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Probabilistic graphical modeling in systems biology: a framework for integrative approachesA. Prokop and B. Csukas (eds.). Systems Biology : integrative biology and simulation tools, Springer, pp.241-272, 2013, Systems Biology: integrative biology and simulation tools |
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Forests of latent tree models to decipher genotype-phenotype associationsJ. Gariel, J. Schier, S. Van Huffel, E. Conchon, C. Correia, A. Fred and H. Gamboa. Biomedical Engineering Systems and Technologies, Communication in Computer and Information Science 357, Springer Berlin Heidelberg, pp.113-134, 2013, 978-3-642-38255-0. ⟨10.1007/978-3-642-38256-7_8⟩ |
Approches par optimisation combinatoire et par apprentissage statistique en bioinformatique. Applications pour la fouille et la modélisation de données complexes en génomique et en génétique2014 |
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Waffect: a method to simulate case-control samples in genome-wide association studies2011 |
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Forests of hierarchical latent models for association genetics2010 |
GWAS-AS: assistance for a thorough evaluation of advanced algorithms dedicated to genome-wide association studies2010 |
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Bayesian multi-locus pattern selection and computation through reversible jump MCMC2010 |
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Performance analysis of methods to infer missing genotypes[Research Report] 2008 |
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Analyse syntaxique non déterministe utilisant un modèle de n-grams[Rapport de recherche] RR-3262, INRIA. 1997 |