Search Results - "De Bois, Maxime"

GLYFE: review and benchmark of personalized glucose predictive models in type 1 diabetes by De Bois, Maxime, Yacoubi, Mounîm A. El, Ammi, Mehdi

“…Due to the sensitive nature of diabetes-related data, preventing them from being easily shared between studies, and the wide discrepancies in their data…”
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Adversarial multi-source transfer learning in healthcare: Application to glucose prediction for diabetic people by De Bois, Maxime, El Yacoubi, Mounîm A., Ammi, Mehdi

“…•In deep learning, multi-source transfer learning can alleviate the lack of data in healthcare.•Deep models learn to discriminate data with different origins…”
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Adversarial multi-source transfer learning in healthcare: application to glucose prediction for diabetic people by de Bois, Maxime, El Yacoubi, Mounim, Ammi, Mehdi

“…Background and objectives: Deep learning has yet to revolutionize general practices in healthcare, despite promising results for some specific tasks. This is…”
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Integration of clinical criteria into the training of deep models: Application to glucose prediction for diabetic people by De Bois, Maxime, El-Yacoubi, Mounîm A., Ammi, Mehdi

“…The standard way to train neural-network-based solutions in healthcare does not consider clinical criteria, leading to models that are not necessarily…”
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Energy Expenditure Estimation Through Daily Activity Recognition Using a Smart-phone by De Bois, Maxime, Amroun, Hamdi, Ammi, Mehdi

“…2018 IEEE 4th World Forum on Internet of Things (WF-IoT) This paper presents a 3-step system that estimates the real-time energy expenditure of an individual…”
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Integration of Clinical Criteria into the Training of Deep Models: Application to Glucose Prediction for Diabetic People by De Bois, Maxime, Yacoubi, Mounîm A. El, Ammi, Mehdi

“…Standard objective functions used during the training of neural-network-based predictive models do not consider clinical criteria, leading to models that are…”
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Enhancing the Interpretability of Deep Models in Heathcare Through Attention: Application to Glucose Forecasting for Diabetic People by De Bois, Maxime, Yacoubi, Mounîm A. El, Ammi, Mehdi

“…The adoption of deep learning in healthcare is hindered by their "black box" nature. In this paper, we explore the RETAIN architecture for the task of glusose…”
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Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN by De Bois, Maxime, Yacoubi, Mounîm A. El, Ammi, Mehdi

“…Progress in the biomedical field through the use of deep learning is hindered by the lack of interpretability of the models. In this paper, we study the RETAIN…”
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GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in Type-1 Diabetes by De Bois, Maxime, Ammi, Mehdi, Yacoubi, Mounîm A. El

“…Due to the sensitive nature of diabetes-related data, preventing them from being shared between studies, progress in the field of glucose prediction is hard to…”
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Adversarial Multi-Source Transfer Learning in Healthcare: Application to Glucose Prediction for Diabetic People by De Bois, Maxime, Yacoubi, Mounîm A. El, Ammi, Mehdi

“…Deep learning has yet to revolutionize general practices in healthcare, despite promising results for some specific tasks. This is partly due to data being in…”
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Energy expenditure estimation through daily activity recognition using a smart-phone by De Bois, Maxime, Amroun, Hamdi, Ammi, Mehdi

“…This paper presents a 3-step system that estimates the real-time energy expenditure of an individual in a non-intrusive way. First, using the user's…”
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Study of Short-Term Personalized Glucose Predictive Models on Type-1 Diabetic Children by De Bois, Maxime, El Yacoubi, Mounim A., Ammi, Mehdi

“…Research in diabetes, especially when it comes to building data-driven models to forecast future glucose values, is hindered by the sensitive nature of the…”
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Model Fusion to Enhance the Clinical Acceptability of Long-Term Glucose Predictions by De Bois, Maxime, Yacoubi, Mounîm A. El, Ammi, Mehdi

“…BIBE 2019: 19th International Conference on Bioinformatics and Bioengineering This paper presents the Derivatives Combination Predictor (DCP), a novel model…”
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Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People by De Bois, Maxime, Yacoubi, Mounîm A. El, Ammi, Mehdi

“…ICONIP 2019: Neural Information Processing pp 510-521 In the context of time-series forecasting, we propose a LSTM-based recurrent neural network architecture…”
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Study of Short-Term Personalized Glucose Predictive Models on Type-1 Diabetic Children by De Bois, Maxime, Yacoubi, Mounîm A. El, Ammi, Mehdi

“…2019 International Joint Conference on Neural Networks (IJCNN) Research in diabetes, especially when it comes to building data-driven models to forecast future…”
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Model Fusion to Enhance the Clinical Acceptability of Long-Term Glucose Predictions by De Bois, Maxime, Ammi, Mehdi, El Yacoubi, Mounim A.

“…This paper presents the Derivatives Combination Predictor (DCP), a novel model fusion algorithm for making long-term glucose predictions for diabetic people…”
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