Christine Sinoquet

40 papers B 12Journal 12Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	BDLBS: An Expert-Rule-Based Generator for Synthetic Complex Longitudinal Health Data. BIOSTEC (4) Hugo Boisaubert, Fatoumata Dama, Corinne Lejus-Bourdeau, Christine Sinoquet
2026	—	`conf`	Extending Temporal Case-Based Reasoning for Action-Conditioned Time Series Prediction from Mixed Asynchronous Data: Application to Data-Driven Medical Simulation. ICAART (2) Hugo Boisaubert, Lucas Vincent, Corinne Lejus-Bourdeau, Christine Sinoquet
2026	B	`conf`	Graph Neural Networks for Graph-Level Regression on Heterogeneous Network Data: Use Case in Early-Stage Optimization of Software Mapping on Multicore Platforms. IDA Oscar Roussel, Zainab Ghrayeb, Sébastien Le Nours, Christine Sinoquet
2025	—	`conf`	Expertise versus Data: Comparison of Expertise Based Process Models to Process-Mining Models of Surgery Under General Anesthesia. BIOSTEC (2): HEALTHINF Hugo Boisaubert, Chloé Grivaud, Antoine Bouchet, Corinne Lejus-Bourdeau, Christine Sinoquet
2025	B	`conf`	Two-in-One Models for Event Prediction and Time Series Forecasting. Comparison of Four Deep Learning Approaches to Simulate a Digital Patient Under Anesthesia. IDA Quentin Victor, Ianis Clavier, Hugo Boisaubert, Fabien Picarougne, Corinne Lejus-Bourdeau, Christine Sinoquet
2024	B	`conf`	Deep joint modelling of mixed asynchronous streams - Proof of concept for data-driven simulation of a digital patient under anaesthesia. KES Julien Paris, Christine Sinoquet, Fadoua Taia-Alaoui, Corinne Lejus-Bourdeau
2024	B	`conf`	LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variables. ESANN Julien Paris, Christine Sinoquet, Fadoua Taia-Alaoui, Corinne Lejus-Bourdeau
2023	B	`conf`	A Framework for Context-Sensitive Prediction in Time Series - Feasibility Study for Data-Driven Simulation in Medicine. DSAA Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau
2023	B	`conf`	A hidden Markov model with Hawkes process-derived contextual variables to improve time series prediction. Case study in medical simulation. ESANN Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau
2023	J	`jnl`	Partially Hidden Markov Chain Multivariate Linear Autoregressive model: inference and forecasting - application to machine health prognostics. Mach. Learn. Fatoumata Dama, Christine Sinoquet
2022	—	`conf`	Simulating the Vital Signs of a Digital Patient Undergoing Surgery, for the Purpose of Training Anaesthetists. BIOSTEC (Selected Papers) Hugo Boisaubert, Lucas Vincent, Corinne Lejus-Bourdeau, Christine Sinoquet
2022	—	`conf`	Simulation of the Evolution of a Virtual Patient's Physiological Status in the Operating Room: Application to Computer-assisted Anaesthesia Training. HEALTHINF Hugo Boisaubert, Lucas Vincent, Corinne Lejus-Bourdeau, Christine Sinoquet
2021	J	`jnl`	Analysis and modeling to forecast in time series: a systematic review. CoRR Fatoumata Dama, Christine Sinoquet
2021	J	`jnl`	Partially Hidden Markov Chain Linear Autoregressive model: inference and forecasting. CoRR Fatoumata Dama, Christine Sinoquet
2021	B	`conf`	Prediction and Inference in a Partially Hidden Markov-switching Framework with Autoregression. Application to Machinery Health Diagnosis. ICTAI Fatoumata Dama, Christine Sinoquet
2019	—	`conf`	Detection of Gene-gene Interactions: Methodological Comparison on Real-World Data and Insights on Synergy between Methods. BIOINFORMATICS Hugo Boisaubert, Christine Sinoquet
2019	—	`conf`	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. BIOSTEC (Selected Papers) Hugo Boisaubert, Christine Sinoquet
2018	J	`jnl`	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. Christine Sinoquet
2018	—	`conf`	Ant Colony Optimization for Markov Blanket-Based Feature Selection. Application for Precision Medicine. LOD Christine Sinoquet, Clément Niel
2018	B	`conf`	Combining latent tree modeling with a random forest-based approach, for genetic association studies. ESANN Christine Sinoquet, Kamel Mekhnacha
2018	B	`conf`	Enhancement of a stochastic Markov-blanket framework with ant colony optimization, to uncover epistasis in genetic association studies. ESANN Christine Sinoquet, Clément Niel
2018	B	`conf`	Random Forest Framework Customized to Handle Highly Correlated Variables: An Extensive Experimental Study Applied to Feature Selection in Genetic Data. DSAA Christine Sinoquet, Kamel Mekhnacha
2018	B	`conf`	Random Forests with Latent Variables to Foster Feature Selection in the Context of Highly Correlated Variables. Illustration with a Bioinformatics Application. IDA Christine Sinoquet, Kamel Mekhnacha
2018	J	`jnl`	SMMB: a stochastic Markov blanket framework strategy for epistasis detection in GWAS. Bioinform. Clément Niel, Christine Sinoquet, Christian Dina, Ghislain Rocheleau
2015	—	`conf`	Latent Forests to Model Genetical Data for the Purpose of Multilocus Genome-Wide Association Studies. Which Clustering Should Be Chosen? BIOSTEC (Selected Papers) Duc-Thanh Phan, Philippe Leray, Christine Sinoquet
2015	—	`conf`	Modeling Genetical Data with Forests of Latent Trees for Applications in Association Genetics at a Large Scale - Which Clustering Method should Be Chosen?. BIOINFORMATICS Duc-Thanh Phan, Philippe Leray, Christine Sinoquet
2014	J	`jnl`	A Survey on Latent Tree Models and Applications. CoRR Raphaël Mourad, Christine Sinoquet, Nevin Lianwen Zhang, Tengfei Liu, Philippe Leray
2014	—	`ed.`	BIOINFORMATICS 2014 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, ESEO, Angers, Loire Valley, France, 3-6 March, 2014 BIOINFORMATICS Oscar Pastor, Christine Sinoquet, Guy Plantier, Tanja Schultz, Ana L. N. Fred, Hugo Gamboa
2014	—	`ed.`	BIOINFORMATICS 2015 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Lisbon, Portugal, 12-15 January, 2015. BIOINFORMATICS Oscar Pastor, Christine Sinoquet, Ana L. N. Fred, Hugo Gamboa, Dirk Elias
2013	J	`jnl`	A Survey on Latent Tree Models and Applications. J. Artif. Intell. Res. Raphaël Mourad, Christine Sinoquet, Nevin Lianwen Zhang, Tengfei Liu, Philippe Leray
2012	—	`conf`	Forests of Latent Tree Models for the Detection of Genetic Associations. BIOINFORMATICS Christine Sinoquet, Raphaël Mourad, Philippe Leray
2012	—	`conf`	Forests of Latent Tree Models to Decipher Genotype-Phenotype Associations. BIOSTEC (Selected Papers) Christine Sinoquet, Raphaël Mourad, Philippe Leray
2012	J	`jnl`	Probabilistic graphical models for genetic association studies. Briefings Bioinform. Raphaël Mourad, Christine Sinoquet, Philippe Leray
2011	J	`jnl`	A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies. BMC Bioinform. Raphaël Mourad, Christine Sinoquet, Philippe Leray
2010	—	`conf`	Learning Hierarchical Bayesian Networks for Genome-Wide Association Studies. COMPSTAT Raphaël Mourad, Christine Sinoquet, Philippe Leray
2009	J	`jnl`	Iterative Two-Pass Algorithm for Missing Data Imputation in SNP Arrays. J. Bioinform. Comput. Biol. Christine Sinoquet
2009	J	`jnl`	Temporal constraints of a gene regulatory network: Refining a qualitative simulation. Biosyst. Jamil Ahmad, Jérémie Bourdon, Damien Eveillard, Jonathan Fromentin, Olivier F. Roux, Christine Sinoquet
2007	—	`conf`	Extending the Hardness of RNA Secondary Structure Comparison. ESCAPE Guillaume Blin, Guillaume Fertin, Irena Rusu, Christine Sinoquet
2006	B	`conf`	A Novel Approach for Structured Consensus Motif Inference Under Specificity and Quorum Constraints. APBC Christine Sinoquet
2006	J	`jnl`	Maximal sub-triangulation in pre-processing phylogenetic data. Soft Comput. Anne Berry, Alain Sigayret, Christine Sinoquet