| Intelligent techniques for anomaly detection in nuclear reactors G Ioannou, T Tagaris, G Alexandridis, A Stafylopatis EPJ web of conferences 247, 21011, 2021 | 23 | 2021 |
| Deep learning-based anomaly detection in nuclear reactor cores T Tasakos, G Ioannou, V Verma, G Alexandridis, A Dokhane, ... Proceedings of the International Conference on Mathematics & Computational …, 2021 | 17 | 2021 |
| Putting together wavelet-based scaleograms and convolutional neural networks for anomaly detection in nuclear reactors T Tagaris, G Ioannou, M Sdraka, G Alexandridis, A Stafylopatis Proceedings of the 3rd International Conference on Advances in Artificial …, 2019 | 16 | 2019 |
| Adalip: An adaptive learning rate method per layer for stochastic optimization G Ioannou, T Tagaris, A Stafylopatis Neural Processing Letters 55 (5), 6311-6338, 2023 | 14 | 2023 |
| Deep learning techniques for in-core perturbation identification and localization of time-series nuclear plant measurements A Papaoikonomou, J Wingate, V Verma, A Durrant, G Ioannou, ... Annals of Nuclear Energy 178, 109373, 2022 | 11 | 2022 |
| Localizing perturbations in pressurized water reactors using one-dimensional deep convolutional neural networks L Pantera, P Stulík, A Vidal-Ferràndiz, A Carreño, D Ginestar, G Ioannou, ... Sensors 22 (1), 113, 2021 | 7 | 2021 |
| Visual interpretability analysis of Deep CNNs using an Adaptive Threshold method on Diabetic Retinopathy images G Ioannou, T Papagiannis, T Tagaris, G Alexandridis, A Stafylopatis Proceedings of the IEEE/CVF International Conference on Computer Vision, 480-486, 2021 | 5 | 2021 |
| Feature extraction and identification techniques for the alignment of perturbation simulations with power plant measurements G Ioannou, T Tasakos, A Mylonakis, G Alexandridis, C Demaziere, P Vinai, ... Proceedings of the International Conference in Mathematics and Computational …, 2021 | 4 | 2021 |
| Improving the convergence speed of deep neural networks with biased sampling G Ioannou, T Tagaris, A Stafylopatis Proceedings of the 3rd International Conference on Advances in Artificial …, 2019 | 3 | 2019 |
| Online batch selection for enhanced generalization in imbalanced datasets G Ioannou, G Alexandridis, A Stafylopatis Algorithms 16 (2), 65, 2023 | 2 | 2023 |
| Deep Recurrent Neural Networks for Highway Traffic Flow Prediction at Toll Stations T Papagiannis, G Ioannou, G Alexandridis, K Tzivanaki, P Alexandridis, ... 2024 IEEE World Forum on Public Safety Technology (WFPST), 108-113, 2024 | 1 | 2024 |
| Analyzing User Reviews in the Tourism & Cultural Domain-The Case of the City of Athens, Greece T Papagiannis, G Ioannou, K Michalakis, G Alexandridis, G Caridakis IFIP International Conference on Artificial Intelligence Applications and …, 2023 | 1 | 2023 |
| StreetLines: A Smart and Scalable Tourism Platform Based on Efficient Knowledge-Mining G Alexandridis, G Siolas, T Papagiannis, G Ioannou, K Michalakis, ... Digital 4 (3), 676, 2024 | | 2024 |
| The Issue of Baselines in Explainability Methods G Ioannou, A Stafylopatis 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 958-965, 2023 | | 2023 |
| Chiang, Chia-Yen 132 Chowdhury, NM Istiak 81, 87 Dai, Wei 13 Darling, Erika 98 Daruwala, Rohin 149 S Abdallah, J Adamy, R Ahl Laamara, M Ahmad, I Ahmed, G Alexandridis, ... | | |
