| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 241 | 2022 |
| Machine learning tools for long-term type 2 diabetes risk prediction N Fazakis, O Kocsis, E Dritsas, S Alexiou, N Fakotakis, K Moustakas ieee Access 9, 103737-103757, 2021 | 128 | 2021 |
| Efficient data-driven machine learning models for cardiovascular diseases risk prediction E Dritsas, M Trigka Sensors 23 (3), 1161, 2023 | 67 | 2023 |
| Cardiovascular Disease Risk Prediction with Supervised Machine Learning Techniques. E Dritsas, S Alexiou, K Moustakas ICT4AWE 1, 315-321, 2022 | 52 | 2022 |
| An approach for personalized continuous glucose prediction with regression trees S Alexiou, E Dritsas, O Kocsis, K Moustakas, N Fakotakis 2021 6th South-East Europe Design Automation, Computer Engineering, Computer …, 2021 | 34 | 2021 |
| Long-term hypertension risk prediction with ml techniques in elsa database E Dritsas, N Fazakis, O Kocsis, N Fakotakis, K Moustakas Learning and Intelligent Optimization: 15th International Conference, LION …, 2021 | 28 | 2021 |
| Machine learning methods for hypercholesterolemia long-term risk prediction E Dritsas, M Trigka Sensors 22 (14), 5365, 2022 | 27 | 2022 |
| Long-term Cholesterol Risk Prediction using Machine Learning Techniques in ELSA Database. N Fazakis, E Dritsas, O Kocsis, N Fakotakis, K Moustakas IJCCI, 445-450, 2021 | 27 | 2021 |
| Short-term Glucose Prediction based on Oral Glucose Tolerance Test Values. E Dritsas, S Alexiou, I Konstantoulas, K Moustakas HEALTHINF, 249-255, 2022 | 25 | 2022 |
| COPD severity prediction in elderly with ML techniques E Dritsas, S Alexiou, K Moustakas Proceedings of the 15th International Conference on PErvasive Technologies …, 2022 | 23 | 2022 |
| Smartwork: designing a smart age-friendly living and working environment for office workers O Kocsis, K Moustakas, N Fakotakis, C Vassiliou, A Toska, ... Proceedings of the 12th ACM International Conference on PErvasive …, 2019 | 23 | 2019 |
| Efficient data-driven machine learning models for hypertension risk prediction E Dritsas, S Alexiou, K Moustakas 2022 International Conference on INnovations in Intelligent SysTems and …, 2022 | 12 | 2022 |
| Metabolic syndrome risk forecasting on elderly with ml techniques E Dritsas, S Alexiou, K Moustakas International Conference on Learning and Intelligent Optimization, 460-466, 2022 | 6 | 2022 |
| Author Correction: Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... nature communications 14 (1), 436, 2023 | 3 | 2023 |
| Deep multi-modal data analysis and fusion for robust scene understanding in CAVs A Papandreou, A Kloukiniotis, A Lalos, K Moustakas 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP …, 2021 | 3 | 2021 |
| Sedentary workers recognition based on machine learning S Alexiou, N Fazakis, O Kocsis, N Fakotakis, K Moustakas Proceedings of the 13th ACM International Conference on Pervasive …, 2020 | 2 | 2020 |
| Aggressive saliency-aware point cloud compression E Psatha, D Laskos, G Arvanitis, K Moustakas arXiv preprint arXiv:2307.10741, 2023 | | 2023 |
| Federated learning enables big data for rare cancer boundary detection (vol 13, 7346, 2022) S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... NATURE PORTFOLIO, 2023 | | 2023 |
| Escape room επαυξημένης πραγματικότητας βασισμένο στην αναγνώριση Charuco Marker και επιφάνειας Σ Αλεξίου | | 2013 |
| Accessible and Assistive ICT K Moustakas, N Kaklanis, D Tzovaras, M Peisner | | |