selected publications
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academic article
- Clustered photoplethysmogram pulse wave shapes and their associations with clinical data. Frontiers in Physiology. 14. 2023
- 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
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blog posting
- Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN. arXiv (Cornell University). 2020
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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
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conference paper
- On the potential of AI based health assessment from photopletysmographic signals. . 2023
- Transfer learning of CNN-based signal quality assessment from clinical to non-clinical PPG signals. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 902-905. 2021
- 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
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