Stroke risk prediction with machine learning techniques E Dritsas, M Trigka Sensors 22 (13), 4670, 2022 | 123 | 2022 |
Lung cancer risk prediction with machine learning models E Dritsas, M Trigka Big Data and Cognitive Computing 6 (4), 139, 2022 | 56 | 2022 |
Machine learning techniques for chronic kidney disease risk prediction E Dritsas, M Trigka Big Data and Cognitive Computing 6 (3), 98, 2022 | 51 | 2022 |
Data-driven machine-learning methods for diabetes risk prediction E Dritsas, M Trigka Sensors 22 (14), 5304, 2022 | 49 | 2022 |
Supervised machine learning models for liver disease risk prediction E Dritsas, M Trigka Computers 12 (1), 19, 2023 | 37 | 2023 |
Efficient data-driven machine learning models for cardiovascular diseases risk prediction E Dritsas, M Trigka Sensors 23 (3), 1161, 2023 | 28 | 2023 |
Machine learning methods for hypercholesterolemia long-term risk prediction E Dritsas, M Trigka Sensors 22 (14), 5365, 2022 | 23 | 2022 |
Long-term coronary artery disease risk prediction with machine learning models M Trigka, E Dritsas Sensors 23 (3), 1193, 2023 | 21 | 2023 |
Efficient data-driven machine learning models for water quality prediction E Dritsas, M Trigka Computation 11 (2), 16, 2023 | 15 | 2023 |
Trajectory clustering and k-NN for robust privacy preserving spatiotemporal databases E Dritsas, M Trigka, P Gerolymatos, S Sioutas Algorithms 11 (12), 207, 2018 | 12 | 2018 |
Supervised machine learning models to identify early-stage symptoms of SARS-CoV-2 E Dritsas, M Trigka Sensors 23 (1), 40, 2022 | 11 | 2022 |
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 | 11 | 2021 |
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 | 8 | 2022 |
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 | 8 | 2022 |
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 | 7 | 2022 |
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 | 7 | 2019 |
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 | 6 | 2020 |
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 | 4 | 2023 |
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 | 4 | 2022 |
A distributed sparse channel estimation technique for mm wave massive MIMO systems M Trigka, C Mavrokefalidis, K Berberidis 2021 29th European Signal Processing Conference (EUSIPCO), 2154-2158, 2021 | 4 | 2021 |