Stebėti
Maria Trigka
Maria Trigka
Patvirtintas el. paštas ceid.upatras.gr
Pavadinimas
Cituota
Cituota
Metai
Stroke risk prediction with machine learning techniques
E Dritsas, M Trigka
Sensors 22 (13), 4670, 2022
1932022
Lung cancer risk prediction with machine learning models
E Dritsas, M Trigka
Big Data and Cognitive Computing 6 (4), 139, 2022
942022
Machine learning techniques for chronic kidney disease risk prediction
E Dritsas, M Trigka
Big Data and Cognitive Computing 6 (3), 98, 2022
772022
Data-driven machine-learning methods for diabetes risk prediction
E Dritsas, M Trigka
Sensors 22 (14), 5304, 2022
732022
Supervised machine learning models for liver disease risk prediction
E Dritsas, M Trigka
Computers 12 (1), 19, 2023
592023
Efficient data-driven machine learning models for cardiovascular diseases risk prediction
E Dritsas, M Trigka
Sensors 23 (3), 1161, 2023
552023
Long-term coronary artery disease risk prediction with machine learning models
M Trigka, E Dritsas
Sensors 23 (3), 1193, 2023
372023
Efficient data-driven machine learning models for water quality prediction
E Dritsas, M Trigka
Computation 11 (2), 16, 2023
322023
Machine learning methods for hypercholesterolemia long-term risk prediction
E Dritsas, M Trigka
Sensors 22 (14), 5365, 2022
272022
A regularization-based big data framework for winter precipitation forecasting on streaming data
A Kanavos, M Trigka, E Dritsas, G Vonitsanos, P Mylonas
Electronics 10 (16), 1872, 2021
162021
Trajectory clustering and k-NN for robust privacy preserving spatiotemporal databases
E Dritsas, M Trigka, P Gerolymatos, S Sioutas
Algorithms 11 (12), 207, 2018
152018
Supervised machine learning models to identify early-stage symptoms of sars-cov-2
E Dritsas, M Trigka
Sensors 23 (1), 40, 2022
122022
A multi-class classification approach for weather forecasting with machine learning techniques
E Dritsas, M Trigka, P Mylonas
2022 17th International Workshop on Semantic and Social Media Adaptation …, 2022
112022
The predictive power of a twitter user’s profile on cryptocurrency popularity
M Trigka, A Kanavos, E Dritsas, G Vonitsanos, P Mylonas
Big Data and Cognitive Computing 6 (2), 59, 2022
112022
A survey on signal processing methods for EEG-based brain computer interface systems
M Trigka, E Dritsas, C Fidas
Proceedings of the 26th Pan-Hellenic Conference on Informatics, 213-218, 2022
92022
Storage Efficient Trajectory Clustering and k-NN for Robust Privacy Preserving Spatio-Temporal Databases
E Dritsas, A Kanavos, M Trigka, S Sioutas, A Tsakalidis
Algorithms 12 (12), 266, 2019
92019
Museum guidance in sign language: The signguide project
D Kosmopoulos, C Constantinopoulos, M Trigka, D Papazachariou, ...
Proceedings of the 15th International Conference on PErvasive Technologies …, 2022
82022
Trajectory Clustering and k-NN for Robust Privacy Preserving k-NN Query Processing in GeoSpark
E Dritsas, A Kanavos, M Trigka, G Vonitsanos, S Sioutas, A Tsakalidis
Algorithms 13 (8), 182, 2020
82020
Mental confusion prediction in e-learning contexts with eeg and machine learning
M Trigka, E Dritsas, P Mylonas
Novel & Intelligent Digital Systems Conferences, 195-200, 2023
72023
Predicting the occurrence of metabolic syndrome using machine learning models
M Trigka, E Dritsas
Computation 11 (9), 170, 2023
72023
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