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Maria Athanasiou
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Journal Articles
- 2018
- [j2]Konstantia Zarkogianni
, Maria Athanasiou
Comparison of Machine Learning Approaches Toward Assessing the Risk of Developing Cardiovascular Disease as a Long-Term Diabetes Complication. IEEE J. Biomed. Health Informatics 22(5): 1637-1647 (2018) - 2009
- [j1]Maria Athanasiou
A Bayesian network model for the diagnosis of the caring procedure for wheelchair users with spinal injury. Comput. Methods Programs Biomed. 95(2-S1): 44-54 (2009)
Conference and Workshop Papers
- 2022
- [c7]Eleftherios Kalafatis
Artificial Intelligence Based Procedural Content Generation in Serious Games for Health: The Case of Childhood Obesity. MobiHealth 2022: 207-219 - 2021
- [c6]Maria Athanasiou, Konstantia Zarkogianni, Konstantinos Karytsas, Konstantina S. Nikita:
An LSTM-based Approach Towards Automated Meal Detection from Continuous Glucose Monitoring in Type 1 Diabetes Mellitus. BIBE 2021: 1-5 - [c5]Panagiota Karatza, Kalliopi Dalakleidi, Maria Athanasiou, Konstantina S. Nikita:
Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis. EMBC 2021: 2310-2313 - [c4]Theofanis Ganitidis, Maria Athanasiou, Kalliopi Dalakleidi, Nikos Melanitis
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images. EMBC 2021: 3902-3905 - 2020
- [c3]Maria Athanasiou
An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus. BIBE 2020: 859-864 - 2019
- [c2]Konstantinos Mitsis, Konstantia Zarkogianni, Nefeli Bountouni
An Ontology-Based Serious Game Design for the Development of Nutrition and Food Literacy Skills. EMBC 2019: 1405-1408 - 2007
- [c1]Maria Athanasiou
A Bayesian Network Model for the Diagnosis of the Caring Procedure for Wheelchair Users with Spinal Injury. CBMS 2007: 433-438
Informal and Other Publications
- 2024
- [i4]Theofanis Ganitidis, Maria Athanasiou, Konstantinos Mitsis, Konstantia Zarkogianni, Konstantina S. Nikita:
Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework. CoRR abs/2409.19300 (2024) - 2022
- [i3]Panagiota Karatza, Kalliopi V. Dalakleidi, Maria Athanasiou, Konstantina S. Nikita:
Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis. CoRR abs/2202.02131 (2022) - [i2]Theofanis Ganitidis, Maria Athanasiou, Kalliopi Dalakleidi, Nikos Melanitis, Spyretta Golemati, Konstantina S. Nikita:
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images. CoRR abs/2202.02428 (2022) - 2020
- [i1]Maria Athanasiou, Konstantina Sfrintzeri, Konstantia Zarkogianni, Anastasia C. Thanopoulou, Konstantina S. Nikita:
An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus. CoRR abs/2009.06629 (2020)
Coauthor Index
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