| Real-time adaptive models for the personalized prediction of glycemic profile in type 1 diabetes patients E Daskalaki, A Prountzou, P Diem, SG Mougiakakou Diabetes technology & therapeutics 14 (2), 168-174, 2012 | 83 | 2012 |
| Model-free machine learning in biomedicine: Feasibility study in type 1 diabetes E Daskalaki, P Diem, SG Mougiakakou PloS one 11 (7), e0158722, 2016 | 73 | 2016 |
| An Actor–Critic based controller for glucose regulation in type 1 diabetes E Daskalaki, P Diem, SG Mougiakakou Computer methods and programs in biomedicine 109 (2), 116-125, 2013 | 59 | 2013 |
| An early warning system for hypoglycemic/hyperglycemic events based on fusion of adaptive prediction models E Daskalaki, K Nørgaard, T Züger, A Prountzou, P Diem, S Mougiakakou Journal of diabetes science and technology 7 (3), 689-698, 2013 | 54 | 2013 |
| Personalized tuning of a reinforcement learning control algorithm for glucose regulation E Daskalaki, P Diem, SG Mougiakakou 2013 35th Annual international conference of the IEEE engineering in …, 2013 | 46 | 2013 |
| Video Moment Retrieval from Text Queries via Single Frame Annotation R Cui, T Qian, P Peng, E Daskalaki, J Chen, X Guo, H Sun, YG Jiang arXiv preprint arXiv:2204.09409, 2022 | 35 | 2022 |
| Multi-model data fusion to improve an early warning system for hypo-/hyperglycemic events RH Botwey, E Daskalaki, P Diem, SG Mougiakakou 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 32 | 2014 |
| Glycemic variability is associated with frequency of blood glucose testing and bolus: post hoc analysis results from the ProAct study A Pfützner, J Weissmann, S Mougiakakou, E Daskalaki, N Weis, R Ziegler Diabetes technology & therapeutics 17 (6), 392-397, 2015 | 29 | 2015 |
| Data-driven modeling for diabetes V Marmarelis, G Mitsis Lecture Notes in Bioengineering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014 | 21 | 2014 |
| The Potential of Current Noninvasive Wearable Technology for the Monitoring of Physiological Signals in the Management of Type 1 Diabetes: Literature Survey E Daskalaki, A Parkinson, N Brew-Sam, MZ Hossain, D O'Neal, CJ Nolan, ... Journal of medical Internet research 24 (4), e28901, 2022 | 16 | 2022 |
| Personalised Short-Term Glucose Prediction via Recurrent Self-Attention Network R Cui, C Hettiarachchi, CJ Nolan, E Daskalaki, H Suominen 2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021 | 16 | 2021 |
| GoCARB in the Context of an Artificial Pancreas A Agianniotis, M Anthimopoulos, E Daskalaki, A Drapela, C Stettler, ... Journal of diabetes science and technology 9 (3), 549-555, 2015 | 16 | 2015 |
| Integrating Multiple Inputs Into an Artificial Pancreas System: Narrative Literature Review C Hettiarachchi, E Daskalaki, J Desborough, CJ Nolan, D O’Neal, ... JMIR diabetes 7 (1), e28861, 2022 | 15 | 2022 |
| Preliminary results of a novel approach for glucose regulation using an Actor-Critic learning based controller E Daskalaki, L Scarnato, P Diem, SG Mougiakakou IET Digital Library, 2010 | 14 | 2010 |
| Adaptive Algorithms for Personalized Diabetes Treatment E Daskalaki, P Diem, S Mougiakakou Data-driven Modeling for Diabetes, 91-116, 2014 | 5 | 2014 |
| A User Preference Analysis of Commercial Breath Ketone Sensors to Inform the Development of Portable Breath Ketone Sensors for Diabetes Management in Young People CP Nicola Brew-Sam, Jane Desborough, Anne Parkinson, Krishnan Murugappan ... PLOS ONE, 2022 | 4 | 2022 |
| Towards the External Artificial Pancreas: Design and Development of a Personalized Control System for Glucose Regulation in Individuals with Type 1 Diabetes E Daskalaki Verlag nicht ermittelbar, 2013 | 2 | 2013 |
| A Significance Assessment of Diabetes Diagnostic Biomarkers Using Machine Learning R Cui, E Daskalaki, MZ Hossain, A Lenskiy, CJ Nolan, H Suominen Nurses and Midwives in the Digital Age, 36-38, 2021 | 1 | 2021 |
| m-Networks: Adapting the Triplet Networks for Acronym Disambiguation HS S. Seneviratne, E. Daskalaki, A. Lenskiy The 4th Clinical Natural Language Processing Workshop At NAACL 2022, 2022 | | 2022 |
| DEEP REINFORCEMENT LEARNING FOR ELIMINATING CARBOHYDRATE ESTIMATION IN GLUCOSE REGULATION IN TYPE 1 DIABETES DE Hettiarachchi C, Malagutti N, Nolan C, Suominen H The 15th International Conference on Advanced Technologies & Treatments for …, 2022 | | 2022 |