| Multivariate prediction of subcutaneous glucose concentration in type 1 diabetes patients based on support vector regression EI Georga, VC Protopappas, D Ardigo, M Marina, I Zavaroni, D Polyzos, ... IEEE journal of biomedical and health informatics 17 (1), 71-81, 2012 | 226 | 2012 |
| Data mining for blood glucose prediction and knowledge discovery in diabetic patients: The METABO diabetes modeling and management system E Georga, V Protopappas, A Guillen, G Fico, D Ardigo, MT Arredondo, ... 2009 annual international conference of the IEEE engineering in medicine and …, 2009 | 84 | 2009 |
| Evaluation of short-term predictors of glucose concentration in type 1 diabetes combining feature ranking with regression models EI Georga, VC Protopappas, D Polyzos, DI Fotiadis Medical & biological engineering & computing 53, 1305-1318, 2015 | 83 | 2015 |
| A glucose model based on support vector regression for the prediction of hypoglycemic events under free-living conditions EI Georga, VC Protopappas, D Ardigo, D Polyzos, DI Fotiadis Diabetes technology & therapeutics 15 (8), 634-643, 2013 | 76 | 2013 |
| Glucose prediction in type 1 and type 2 diabetic patients using data driven techniques EI Georga, VC Protopappas, DI Fotiadis Knowledge-oriented applications in data mining, 277-296, 2011 | 69 | 2011 |
| A predictive model of subcutaneous glucose concentration in type 1 diabetes based on random forests EI Georga, VC Protopappas, D Polyzos, DI Fotiadis 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 65 | 2012 |
| Wearable systems and mobile applications for diabetes disease management EI Georga, VC Protopappas, CV Bellos, DI Fotiadis Health and Technology 4, 101-112, 2014 | 43 | 2014 |
| Online prediction of glucose concentration in type 1 diabetes using extreme learning machines EI Georga, VC Protopappas, D Polyzos, DI Fotiadis 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 38 | 2015 |
| Artificial intelligence and data mining methods for cardiovascular risk prediction EI Georga, NS Tachos, AI Sakellarios, VI Kigka, TP Exarchos, G Pelosi, ... Cardiovascular computing—methodologies and clinical applications, 279-301, 2019 | 32 | 2019 |
| Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters EI Georga, JC Príncipe, DI Fotiadis Medical & biological engineering & computing 57, 27-46, 2019 | 30 | 2019 |
| An architecture for designing Future Internet (FI) applications in sensitive domains: Expressing the Software to data paradigm by utilizing hybrid cloud technology S Sotiriadis, EGM Petrakis, S Covaci, P Zampognaro, E Georga, ... 13th IEEE International Conference on BioInformatics and BioEngineering, 1-6, 2013 | 29 | 2013 |
| A review of image-based food recognition and volume estimation artificial intelligence systems FS Konstantakopoulos, EI Georga, DI Fotiadis IEEE Reviews in Biomedical Engineering 17, 136-152, 2023 | 24 | 2023 |
| Cohort harmonization and integrative analysis from a biomedical engineering perspective KD Kourou, VC Pezoulas, EI Georga, TP Exarchos, P Tsanakas, ... IEEE reviews in biomedical engineering 12, 303-318, 2018 | 19 | 2018 |
| Short-term vs. long-term analysis of diabetes data: Application of machine learning and data mining techniques EI Georga, VC Protopappas, SG Mougiakakou, DI Fotiadis 13th IEEE International Conference on BioInformatics and BioEngineering, 1-4, 2013 | 19 | 2013 |
| Prediction of glucose concentration in type 1 diabetic patients using support vector regression EI Georga, VC Protopappas, D Polyzos Proceedings of the 10th IEEE International Conference on Information …, 2010 | 19 | 2010 |
| Predictive modeling of glucose metabolism using free-living data of type 1 diabetic patients EI Georga, VC Protopappas, D Polyzos, DI Fotiadis 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 19 | 2010 |
| Non-linear dynamic modeling of glucose in type 1 diabetes with kernel adaptive filters EI Georga, JC Principe, D Polyzos, DI Fotiadis 2016 38th annual international conference of the IEEE engineering in …, 2016 | 15 | 2016 |
| 3D reconstruction and volume estimation of food using stereo vision techniques F Konstantakopoulos, EI Georga, DI Fotiadis 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering …, 2021 | 14 | 2021 |
| Mediterranean food image recognition using deep convolutional networks FS Konstantakopoulos, EI Georga, DI Fotiadis 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 11 | 2021 |
| A machine learning approach for the prediction of the progression of cardiovascular disease based on clinical and non-invasive imaging data VI Kigka, EI Georga, AI Sakellarios, NS Tachos, I Andrikos, P Tsompou, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 11 | 2018 |
DI FotiadisUnit of Medical Technology and Intelligent Information Systems, University of Ioannina & FORTHVerified email at cc.uoi.gr
