 | Up a level |
Fontanellaz, Matthias Andreas; Jankovic, Marko; Mougiakakou, Stavroula (March 2021). Gradual Fine-Tuning for accurate Blood Glucose Level Prediction (Unpublished). In: 14th International Conference on Advanced Technologies & Treatments for Diabetes.
Sun, Qingnan; Jankovic, Marko; Budzinski, João; Moore, Brett; Diem, Peter; Stettler, Christoph; Mougiakakou, Stavroula (2019). A dual mode adaptive basal-bolus advisor based on reinforcement learning. IEEE journal of biomedical and health informatics, 23(6), pp. 2633-2641. Institute of Electrical and Electronics Engineers 10.1109/JBHI.2018.2887067
Sun, Qingnan; Jankovic, Marko; Mougiakakou, Stavroula (27 July 2019). Reinforcement Learning-Based Adaptive Insulin Advisor for Individuals with Type 1 Diabetes Patients under Multiple Daily Injections Therapy (In Press). In: 41st International Engineering in Medicine and Biology Conference (IEEE EMBC2019). Berlin. 23-27/07/2019.
Sun, Qingnan; Jankovic, Marko; Mougiakakou, Stavroula (20 November 2018). Impact of Errors in Carbohydrate Estimation on Control of Blood Glucose in Type 1 Diabetes (In Press). In: 2018 14th IEEE Symposium on Neural Networks and Applications (NEUREL) - IEEE Neurel2018. Institute of Electrical and Electronics Engineers
Sun, Qingnan; Jankovic, Marko; Bally, Lia; Mougiakakou, Stavroula Georgia (2018). Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network (In Press). In: 2018 14th IEEE Symposium on Neural Networks and Applications (NEUREL) - IEEE Neurel2018. Institute of Electrical and Electronics Engineers
Jankovic, Marko; Mosimann, Samuel; Bally, Lia; Stettler, Christoph; Mougiakakou, Stavroula (29 December 2016). Deep prediction model: The case of online adaptive prediction of subcutaneous glucose. In: 13th Symposium on Neural Networks and Applications (NEUREL) (pp. 1-5). IEEE 10.1109/NEUREL.2016.7800095
