| Fault detection and identification of rolling element bearings with Attentive Dense CNN S Plakias, YS Boutalis Neurocomputing 405, 208-217, 2020 | 110 | 2020 |
| Exploiting the generative adversarial framework for one-class multi-dimensional fault detection S Plakias, YS Boutalis Neurocomputing 332, 396-405, 2019 | 67 | 2019 |
| Deep convolutional features for image retrieval S Gkelios, A Sophokleous, S Plakias, Y Boutalis, SA Chatzichristofis Expert Systems with Applications 177, 114940, 2021 | 63 | 2021 |
| Tensor space models for authorship identification S Plakias, E Stamatatos Artificial Intelligence: Theories, Models and Applications: 5th Hellenic …, 2008 | 41 | 2008 |
| A novel information processing method based on an ensemble of auto-encoders for unsupervised fault detection S Plakias, YS Boutalis Computers in Industry 142, 103743, 2022 | 38 | 2022 |
| Extracting spatially global and local attentive features for rolling bearing fault diagnosis in electrical machines using attention stream networks YL Karnavas, S Plakias, ID Chasiotis IET Electric Power Applications 15 (7), 903-915, 2021 | 26 | 2021 |
| Generative adversarial networks for unsupervised fault detection P Spyridon, YS Boutalis 2018 European Control Conference (ECC), 691-696, 2018 | 25 | 2018 |
| Lyapunov theory-based fusion neural networks for the identification of dynamic nonlinear systems S Plakias, YS Boutalis International Journal of Neural Systems 29 (09), 1950015, 2019 | 15 | 2019 |
| Author identification using a tensor space representation S Plakias, E Stamatatos ECAI 2008, 833-834, 2008 | 9 | 2008 |
| Adaptive One-Step Model Predictive Control Using Lyapunov Theory-Based Deep Neural Networks P Spyridon, YS Boutalis 2018 26th Mediterranean Conference on Control and Automation (MED), 326-331, 2018 | 3 | 2018 |
| A Multi-Scale Deep Learning Attention-based Feature Method for Rolling Elements Bearing Fault Detection in Industrial Motor Drives YL Karnavas, S Plakias, ID Chasiotis | 1 | 2021 |
| A Unified Framework for Structural-Temporal Coherence in Graph Neural Networks for Data-Driven Fault Identification P Spyridon, YS Boutalis 2024 28th International Conference on System Theory, Control and Computing …, 2024 | | 2024 |
| Neural network models for system identification, control and fault detection S Plakias Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ). Σχολή Πολυτεχνική. Τμήμα Ηλεκτρολόγων …, 2020 | | 2020 |
| Exploiting the use of auto encoder and recurrent neural networks for robust to noise control S Plakias, YS Boutalis Control and Automation (MED), 2017 25th Mediterranean Conference on, 553-558, 2017 | | 2017 |
Yiannis BoutalisProfessor, Democritus University of ThracePreverjeni e-poštni naslov na ee.duth.gr