Christine Sinoquet
According to our database1,
Christine Sinoquet
authored at least 29 papers
between 2006 and 2023.
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Bibliography
2023
Partially Hidden Markov Chain Multivariate Linear Autoregressive model: inference and forecasting - application to machine health prognostics.
Mach. Learn., January, 2023
A Framework for Context-Sensitive Prediction in Time Series - Feasibility Study for Data-Driven Simulation in Medicine.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
2022
Simulating the Vital Signs of a Digital Patient Undergoing Surgery, for the Purpose of Training Anaesthetists.
Proceedings of the Biomedical Engineering Systems and Technologies, 2022
Simulation of the Evolution of a Virtual Patient's Physiological Status in the Operating Room: Application to Computer-assisted Anaesthesia Training.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
2021
Partially Hidden Markov Chain Linear Autoregressive model: inference and forecasting.
CoRR, 2021
Prediction and Inference in a Partially Hidden Markov-switching Framework with Autoregression. Application to Machinery Health Diagnosis.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
2019
Machine Learning and Combinatorial Optimization to Detect Gene-gene Interactions in Genome-wide Real Data: Looking Through the Prism of Four Methods and Two Protocols.
Proceedings of the Biomedical Engineering Systems and Technologies, 2019
Detection of Gene-gene Interactions: Methodological Comparison on Real-World Data and Insights on Synergy between Methods.
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019
2018
A method combining a random forest-based technique with the modeling of linkage disequilibrium through latent variables, to run multilocus genome-wide association studies.
BMC Bioinform., 2018
SMMB: a stochastic Markov blanket framework strategy for epistasis detection in GWAS.
Bioinform., 2018
Ant Colony Optimization for Markov Blanket-Based Feature Selection. Application for Precision Medicine.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018
Random Forests with Latent Variables to Foster Feature Selection in the Context of Highly Correlated Variables. Illustration with a Bioinformatics Application.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018
Enhancement of a stochastic Markov-blanket framework with ant colony optimization, to uncover epistasis in genetic association studies.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Combining latent tree modeling with a random forest-based approach, for genetic association studies.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Random Forest Framework Customized to Handle Highly Correlated Variables: An Extensive Experimental Study Applied to Feature Selection in Genetic Data.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
2015
Latent Forests to Model Genetical Data for the Purpose of Multilocus Genome-Wide Association Studies. Which Clustering Should Be Chosen?
Proceedings of the Biomedical Engineering Systems and Technologies, 2015
Modeling Genetical Data with Forests of Latent Trees for Applications in Association Genetics at a Large Scale - Which Clustering Method should Be Chosen?.
Proceedings of the BIOINFORMATICS 2015, 2015
2013
2012
Briefings Bioinform., 2012
Proceedings of the Biomedical Engineering Systems and Technologies, 2012
Forests of Latent Tree Models for the Detection of Genetic Associations.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012
2011
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies.
BMC Bioinform., 2011
2010
Proceedings of the 19th International Conference on Computational Statistics, 2010
2009
J. Bioinform. Comput. Biol., 2009
Temporal constraints of a gene regulatory network: Refining a qualitative simulation.
Biosyst., 2009
2007
Proceedings of the Combinatorics, 2007
2006
A Novel Approach for Structured Consensus Motif Inference Under Specificity and Quorum Constraints.
Proceedings of 4th Asia-Pacific Bioinformatics Conference. 13-16 February 2006, 2006