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Maxime De Bois
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2020 – today
- 2022
- [j3]Maxime De Bois
, Mounîm A. El-Yacoubi
, Mehdi Ammi:
GLYFE: review and benchmark of personalized glucose predictive models in type 1 diabetes. Medical Biol. Eng. Comput. 60(1): 1-17 (2022) - 2021
- [j2]Maxime De Bois
, Mounîm A. El-Yacoubi
, Mehdi Ammi:
Adversarial multi-source transfer learning in healthcare: Application to glucose prediction for diabetic people. Comput. Methods Programs Biomed. 199: 105874 (2021) - [j1]Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi:
Enhancing the Interpretability of Deep Models in Healthcare Through Attention: Application to Glucose Forecasting for Diabetic People. Int. J. Pattern Recognit. Artif. Intell. 35(12): 2160006:1-2160006:25 (2021) - 2020
- [b1]Maxime De Bois:
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). University of Paris-Saclay, France, 2020 - [c5]Maxime De Bois
, Mounîm A. El-Yacoubi
, Mehdi Ammi
:
Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN. ICPRAI 2020: 685-694 - [i7]Maxime De Bois, Mounîm A. El-Yacoubi
, Mehdi Ammi:
Adversarial Multi-Source Transfer Learning in Healthcare: Application to Glucose Prediction for Diabetic People. CoRR abs/2006.15940 (2020) - [i6]Maxime De Bois, Mehdi Ammi, Mounîm A. El-Yacoubi:
GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in Type-1 Diabetes. CoRR abs/2006.15946 (2020) - [i5]Maxime De Bois, Hamdi Amroun, Mehdi Ammi:
Energy Expenditure Estimation Through Daily Activity Recognition Using a Smart-phone. CoRR abs/2009.03681 (2020) - [i4]Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi:
Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People. CoRR abs/2009.03722 (2020) - [i3]Maxime De Bois, Mounim A. El-Yacoubi, Mehdi Ammi:
Enhancing the Interpretability of Deep Models in Heathcare Through Attention: Application to Glucose Forecasting for Diabetic People. CoRR abs/2009.03732 (2020) - [i2]Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi:
Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN. CoRR abs/2009.04524 (2020) - [i1]Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi:
Integration of Clinical Criteria into the Training of Deep Models: Application to Glucose Prediction for Diabetic People. CoRR abs/2009.10514 (2020)
2010 – 2019
- 2019
- [c4]Maxime De Bois, Mehdi Ammi, Mounîm A. El-Yacoubi
:
Model Fusion to Enhance the Clinical Acceptability of Long-Term Glucose Predictions. BIBE 2019: 258-264 - [c3]Maxime De Bois
, Mounîm A. El-Yacoubi
, Mehdi Ammi
:
Prediction-Coherent LSTM-Based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People. ICONIP (3) 2019: 510-521 - [c2]Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi:
Study of Short-Term Personalized Glucose Predictive Models on Type-1 Diabetic Children. IJCNN 2019: 1-8 - 2018
- [c1]Maxime De Bois, Hamdi Amroun, Mehdi Ammi:
Energy expenditure estimation through daily activity recognition using a smart-phone. WF-IoT 2018: 167-172
Coauthor Index
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