selected publications

• academic article

  • GLYFE: review and benchmark of personalized glucose predictive models in type 1 diabetes.  Medical & Biological Engineering & Computing.  60:1-17. 2021
  • Enhancing the Interpretability of Deep Models in Healthcare Through Attention: Application to Glucose Forecasting for Diabetic People.  International Journal of Pattern Recognition and Artificial Intelligence.  35. 2021
  • Integration of clinical criteria into the training of deep models: Application to glucose prediction for diabetic people.  Smart Health.  21:100193-100193. 2021
  • Adversarial multi-source transfer learning in healthcare: Application to glucose prediction for diabetic people.  Computer Methods and Programs in Biomedicine.  199:105874-105874. 2020

• blog posting

  • Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN.  arXiv (Cornell University). 2020

• chapter

  • Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN.  Lecture notes in computer science. 685-694. 2020
  • Prediction-Coherent LSTM-Based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People.  Lecture notes in computer science. 510-521. 2019

• conference paper

  • Model Fusion to Enhance the Clinical Acceptability of Long-Term Glucose Predictions.  . 258-264. 2019
  • Study of short-term personalized glucose predictive models on Type-1 diabetic children.  . 2019
  • Study of Short-Term Personalized Glucose Predictive Models on Type-1 Diabetic Children.  2022 International Joint Conference on Neural Networks (IJCNN). 1-8. 2019