| SVM-based fuzzy decision trees for classification of high spatial resolution remote sensing images S Moustakidis, G Mallinis, N Koutsias, JB Theocharis, V Petridis IEEE Transactions on Geoscience and Remote Sensing 50 (1), 149-169, 2011 | 143 | 2011 |
| Machine learning in knee osteoarthritis: A review C Kokkotis, S Moustakidis, E Papageorgiou, G Giakas, DE Tsaopoulos Osteoarthritis and Cartilage Open 2 (3), 100069, 2020 | 105 | 2020 |
| Subject recognition based on ground reaction force measurements of gait signals SP Moustakidis, JB Theocharis, G Giakas IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008 | 82 | 2008 |
| SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion SP Moustakidis, JB Theocharis Pattern Recognition 43 (11), 3712-3729, 2010 | 73 | 2010 |
| CyberGrasp and PHANTOM Integration: Enhanced haptic access for visually impaired users MG Nikolakis, G., Tzovaras, D., Moustakidis, S., & Strintzis Proceedings of the 9th International Conference “Speech and Computer …, 2004 | 58* | 2004 |
| Machine Learning for Hardware Trojan Detection: A Review KG Liakos, P Karlsson, GK Georgakilas, FC Plessas, S Moustakidis 2019 Panhellenic Conference on Electronics & Telecommunications (PACET), 2019 | 47 | 2019 |
| An intelligent methodology for railways monitoring using ultrasonic guided waves S Moustakidis, V Kappatos, P Karlsson, C Selcuk, TH Gan, K Hrissagis Journal of Nondestructive Evaluation 33, 694-710, 2014 | 41 | 2014 |
| A fuzzy decision tree-based SVM classifier for assessing osteoarthritis severity using ground reaction force measurements SP Moustakidis, JB Theocharis, G Giakas Medical engineering & physics 32 (10), 1145-1160, 2010 | 41 | 2010 |
| Conventional and machine learning approaches as countermeasures against hardware trojan attacks KG Liakos, GK Georgakilas, S Moustakidis, N Sklavos, FC Plessas Microprocessors and Microsystems 79, 103295, 2020 | 40 | 2020 |
| An explainable machine learning pipeline for stroke prediction on imbalanced data C Kokkotis, G Giarmatzis, E Giannakou, S Moustakidis, T Tsatalas, ... Diagnostics 12 (10), 2392, 2022 | 36 | 2022 |
| An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems SP Moustakidis, GA Rovithakis, JB Theocharis Automatica 44 (5), 1418-1425, 2008 | 35 | 2008 |
| Machine learning applied on the district heating and cooling sector: a review C Ntakolia, A Anagnostis, S Moustakidis, N Karcanias Energy Systems, 1-30, 2021 | 33 | 2021 |
| Explainable Machine Learning for Knee Osteoarthritis Diagnosis Based on a Novel Fuzzy Feature Selection Methodology C Kokkotis, C Ntakolia, S Moustakidis, G Giakas, D Tsaopoulos Physical and Engineering Sciences in Medicine 45, 219–229, 2022 | 32 | 2022 |
| State-of-the-art machine learning algorithms for the prediction of outcomes after contemporary heart transplantation: Results from the UNOS database PN Kampaktsis, A Tzani, IP Doulamis, S Moustakidis, A Drosou, N Diakos, ... Clinical transplantation, 2021 | 30 | 2021 |
| An explainable machine learning model for material backorder prediction in inventory management C Ntakolia, C Kokkotis, P Karlsson, S Moustakidis Sensors 21 (23), 7926, 2021 | 29 | 2021 |
| Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective S Moustakidis, E Christodoulou, E Papageorgiou, C Kokkotis, ... Quantum Machine Intelligence, 2019 | 29 | 2019 |
| Exploring deep learning capabilities in knee osteoarthritis case study for classification E Christodoulou, S Moustakidis, N Papandrianos, D Tsaopoulos, ... 2019 10th international conference on information, intelligence, systems and …, 2019 | 29 | 2019 |
| Autonomous path planning with obstacle avoidance for smart assistive systems C Ntakolia, S Moustakidis, A Siouras Expert Systems with Applications 213, 119049, 2023 | 28 | 2023 |
| A lightweight convolutional neural network architecture applied for bone metastasis classification in nuclear medicine: A case study on prostate cancer patients C Ntakolia, DE Diamantis, N Papandrianos, S Moustakidis, ... Healthcare 8 (4), 493, 2020 | 28 | 2020 |
| Enhancing property prediction and process optimization in building materials through machine learning: A review K Stergiou, C Ntakolia, P Varytis, E Koumoulos, P Karlsson, S Moustakidis Computational Materials Science 220, 112031, 2023 | 27 | 2023 |
Giannis Giakas PhDTEFAA, Department of Physical Education and Sport Science, University of Thessaly, GreeceE-mail megerősítve itt: uth.gr
