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09/21/2020
Integration of Clinical Criteria into the Training of Deep Models: Application to Glucose Prediction for Diabetic People
Standard objective functions used during the training of neural-network-...
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09/08/2020
Enhancing the Interpretability of Deep Models in Heathcare Through Attention: Application to Glucose Forecasting for Diabetic People
The adoption of deep learning in healthcare is hindered by their "black ...
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09/08/2020
Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN
Progress in the biomedical field through the use of deep learning is hin...
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09/08/2020
Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People
In the context of time-series forecasting, we propose a LSTM-based recur...
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09/08/2020
Energy Expenditure Estimation Through Daily Activity Recognition Using a Smart-phone
This paper presents a 3-step system that estimates the real-time energy ...
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06/29/2020
GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in Type-1 Diabetes
Due to the sensitive nature of diabetes-related data, preventing them fr...
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06/29/2020
