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Plakias Spyridon
Plakias Spyridon
Verified email at ee.duth.gr
Title
Cited by
Cited by
Year
Fault detection and identification of rolling element bearings with Attentive Dense CNN
S Plakias, YS Boutalis
Neurocomputing 405, 208-217, 2020
912020
Exploiting the generative adversarial framework for one-class multi-dimensional fault detection
S Plakias, YS Boutalis
Neurocomputing 332, 396-405, 2019
582019
Deep convolutional features for image retrieval
S Gkelios, A Sophokleous, S Plakias, Y Boutalis, SA Chatzichristofis
Expert Systems with Applications 177, 114940, 2021
482021
Tensor space models for authorship identification
S Plakias, E Stamatatos
Artificial Intelligence: Theories, Models and Applications: 5th Hellenic …, 2008
412008
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
292022
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
212021
Generative adversarial networks for unsupervised fault detection
P Spyridon, YS Boutalis
2018 European Control Conference (ECC), 691-696, 2018
212018
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
122019
Author identification using a tensor space representation
S Plakias, E Stamatatos
ECAI 2008, 833-834, 2008
82008
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
32018
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
12021
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
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Articles 1–13