PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Georga, Eleni I."

Author of the publication

copydeleteadd this publication to your clipboard
A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data.

, , , , , , , , , , and . EMBC, page 6108-6111. IEEE, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

I. Steinwart

I. Dudic

Cheng-I Ho University of Stuttgart

Matthias Ibach University of Stuttgart

Dr. -Ing. Dr. Uwe Iben University of Stuttgart

 

Other publications of authors with the same name

Evaluation of short-term predictors of glucose concentration in type 1 diabetes combining feature ranking with regression models., , , and . Med. Biol. Engineering and Computing, 53 (12): 1305-1318 (2015)Non-linear dynamic modeling of glucose in type 1 diabetes with kernel adaptive filters., , , and . EMBC, page 5897-5900. IEEE, (2016)Multivariate Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes Patients Based on Support Vector Regression., , , , , , and . IEEE J. Biomedical and Health Informatics, 17 (1): 71-81 (2013)Short-term vs. long-term analysis of diabetes data: Application of machine learning and data mining techniques., , , and . BIBE, page 1-4. IEEE Computer Society, (2013)An architecture for designing Future Internet (FI) applications in sensitive domains: Expressing the software to data paradigm by utilizing hybrid cloud technology., , , , , and . BIBE, page 1-6. IEEE Computer Society, (2013)Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters., , and . Med. Biol. Engineering and Computing, 57 (1): 27-46 (2019)Online prediction of glucose concentration in type 1 diabetes using extreme learning machines., , , and . EMBC, page 3262-3265. IEEE, (2015)A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data., , , , , , , , , and 1 other author(s). EMBC, page 6108-6111. IEEE, (2018)Achieving adherence in home-based rehabilitation with novel human machine interactions that stimulate community-dwelling older adults., , , , , , , , , and 1 other author(s). PETRA, page 616-619. ACM, (2019)Automatic Estimation of the Nutritional Composition of Foods as Part of the GlucoseML Type 1 Diabetes Self-Management System., , , , , and . BIBE, page 470-473. IEEE, (2019)