Maxime De Bois

According to our database, Maxime De Bois authored at least 11 papers between 2018 and 2022.

Collaborative distances:

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

2022

GLYFE: review and benchmark of personalized glucose predictive models in type 1 diabetes.

Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi

Medical Biol. Eng. Comput., 2022

2021

Enhancing the Interpretability of Deep Models in Healthcare Through Attention: Application to Glucose Forecasting for Diabetic People.

Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi

Int. J. Pattern Recognit. Artif. Intell., 2021

Adversarial multi-source transfer learning in healthcare: Application to glucose prediction for diabetic people.

Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi

Comput. Methods Programs Biomed., 2021

2020

Apprentissage profond sous contraintes biomédicales pour la prédiction de la glycémie future de patients diabétiques. (Deep learning under biomedical constraints for the forecasting of glucose of diabetic patients).

Maxime De Bois

PhD thesis, 2020

Integration of Clinical Criteria into the Training of Deep Models: Application to Glucose Prediction for Diabetic People.

Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi

CoRR, 2020

Enhancing the Interpretability of Deep Models in Heathcare Through Attention: Application to Glucose Forecasting for Diabetic People.

Maxime De Bois, Mounim A. El-Yacoubi, Mehdi Ammi

CoRR, 2020

Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN.

Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi

Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

2019

Study of Short-Term Personalized Glucose Predictive Models on Type-1 Diabetic Children.

Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi

Proceedings of the International Joint Conference on Neural Networks, 2019

Prediction-Coherent LSTM-Based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People.

Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Model Fusion to Enhance the Clinical Acceptability of Long-Term Glucose Predictions.

Maxime De Bois, Mehdi Ammi, Mounîm A. El-Yacoubi

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018

Energy expenditure estimation through daily activity recognition using a smart-phone.

Maxime De Bois, Hamdi Amroun, Mehdi Ammi

Proceedings of the 4th IEEE World Forum on Internet of Things, 2018