Corinne Lejus-Bourdeau

According to our database, Corinne Lejus-Bourdeau authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Extending Temporal Case-Based Reasoning for Action-Conditioned Time Series Prediction from Mixed Asynchronous Data: Application to Data-Driven Medical Simulation.

Hugo Boisaubert, Lucas Vincent, Corinne Lejus-Bourdeau, Christine Sinoquet

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

BDLBS: An Expert-Rule-Based Generator for Synthetic Complex Longitudinal Health Data.

Hugo Boisaubert, Fatoumata Dama, Corinne Lejus-Bourdeau, Christine Sinoquet

Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026

2025

Two-in-One Models for Event Prediction and Time Series Forecasting. Comparison of Four Deep Learning Approaches to Simulate a Digital Patient Under Anesthesia.

Quentin Victor, Ianis Clavier, Hugo Boisaubert, Fabien Picarougne, Corinne Lejus-Bourdeau, Christine Sinoquet

Proceedings of the Advances in Intelligent Data Analysis XXIII, 2025

Investigating four deep learning approaches as candidates for unified models in time series forecasting and event prediction: application in anesthesia training.

Quentin Victor, Ianis Clavier, Hugo Boisaubert, Fabien Picarougne, Corinne Lejus-Bourdeau, Christine Sinoquet

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

Expertise versus Data: Comparison of Expertise Based Process Models to Process-Mining Models of Surgery Under General Anesthesia.

Hugo Boisaubert, Chloé Grivaud, Antoine Bouchet, Corinne Lejus-Bourdeau, Christine Sinoquet

Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025

2024

Deep joint modelling of mixed asynchronous streams - Proof of concept for data-driven simulation of a digital patient under anaesthesia.

Julien Paris, Christine Sinoquet, Fadoua Taia-Alaoui, Corinne Lejus-Bourdeau

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variables.

Julien Paris, Christine Sinoquet, Fadoua Taia-Alaoui, Corinne Lejus-Bourdeau

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

A hidden Markov model with Hawkes process-derived contextual variables to improve time series prediction. Case study in medical simulation.

Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

A Framework for Context-Sensitive Prediction in Time Series - Feasibility Study for Data-Driven Simulation in Medicine.

Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau

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.

Hugo Boisaubert, Lucas Vincent, Corinne Lejus-Bourdeau, Christine Sinoquet

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.

Hugo Boisaubert, Lucas Vincent, Corinne Lejus-Bourdeau, Christine Sinoquet

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022