297 citations · 592 across the 17 of their papers we have counts for
4 papers · 1 filter
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries
Matthias Fontanellaz, Stergios Christodoulidis, Stavroula Mougiakakou
Direct computer vision based-nutrient content estimation is a demanding task, due to deformation and occlusions of ingredients, as well as high intra-class and low inter-class vari…
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou +6
Regular nutrient intake monitoring in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition (DRM). Although several methods to estimate n…
Reinforcement Learning-Based Adaptive Insulin Advisor for Individuals with Type 1 Diabetes Patients under Multiple Daily Injections Therapy
Qingnan Sun, Marko V. Jankovic, Stavroula G. Mougiakakou
The existing adaptive basal-bolus advisor (ABBA) was further developed to benefit patients under insulin therapy with multiple daily injections (MDI). Three different in silico exp…
A dual mode adaptive basal-bolus advisor based on reinforcement learning
Qingnan Sun, Marko V. Jankovic, João Budzinski +4
Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The proposed…