Energy expenditure estimation through daily activity recognition using a smart-phone. - Maxime De Bois; Hamdi Amroun; Mehdi Ammi (WF-IoT, 2018)

Model Fusion to Enhance the Clinical Acceptability of Long-Term Glucose Predictions. - Maxime De Bois; Mehdi Ammi; Mounîm A. El-Yacoubi (BIBE, 2019)

Prediction-Coherent LSTM-Based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People. - Maxime De Bois; Mounîm A. El-Yacoubi; Mehdi Ammi (ICONIP (3), 2019)

Study of Short-Term Personalized Glucose Predictive Models on Type-1 Diabetic Children. - Maxime De Bois; Mounîm A. El-Yacoubi; Mehdi Ammi (IJCNN, 2019)

Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN. - Maxime De Bois; Mounîm A. El-Yacoubi; Mehdi Ammi (ICPRAI, 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)

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)

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 (2020)

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)

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)

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)

League of Legends Esports Player Game Data (2019-2024). - Maxime De Bois; Flora Parmentier; Raphaël Puget; Matthew Tanti; Jordan Peltier (IEEE DataPort, 2025)

PandaSkill - Player Performance and Skill Rating in Esports: Application to League of Legends. - Maxime De Bois; Flora Parmentier; Raphaël Puget; Matthew Tanti; Jordan Peltier (CoRR, 2025)