| Bayesian-optimized bidirectional LSTM regression model for non-intrusive load monitoring M Kaselimi, N Doulamis, A Doulamis, A Voulodimos, E Protopapadakis ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 139 | 2019 |
| Context aware energy disaggregation using adaptive bidirectional LSTM models M Kaselimi, N Doulamis, A Voulodimos, E Protopapadakis, A Doulamis IEEE Transactions on Smart Grid 11 (4), 3054-3067, 2020 | 135 | 2020 |
| Multi-channel recurrent convolutional neural networks for energy disaggregation M Kaselimi, E Protopapadakis, A Voulodimos, N Doulamis, A Doulamis IEEE Access 7, 81047-81056, 2019 | 79 | 2019 |
| A vision transformer model for convolution-free multilabel classification of satellite imagery in deforestation monitoring M Kaselimi, A Voulodimos, I Daskalopoulos, N Doulamis, A Doulamis IEEE Transactions on Neural Networks and Learning Systems, 2022 | 57 | 2022 |
| Towards trustworthy energy disaggregation: A review of challenges, methods, and perspectives for non-intrusive load monitoring M Kaselimi, E Protopapadakis, A Voulodimos, N Doulamis, A Doulamis Sensors 22 (15), 5872, 2022 | 47 | 2022 |
| A causal long short-term memory sequence to sequence model for TEC prediction using GNSS observations M Kaselimi, A Voulodimos, N Doulamis, A Doulamis, D Delikaraoglou Remote Sensing 12 (9), 1354, 2020 | 45 | 2020 |
| Energan: A generative adversarial network for energy disaggregation M Kaselimi, A Voulodimos, E Protopapadakis, N Doulamis, A Doulamis ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 39 | 2020 |
| EnerGAN++: A generative adversarial gated recurrent network for robust energy disaggregation M Kaselimi, N Doulamis, A Voulodimos, A Doulamis, E Protopapadakis IEEE Open Journal of Signal Processing 2, 1-16, 2020 | 38 | 2020 |
| Electricity: An efficient transformer for non-intrusive load monitoring S Sykiotis, M Kaselimi, A Doulamis, N Doulamis Sensors 22 (8), 2926, 2022 | 29 | 2022 |
| Deep recurrent neural networks for ionospheric variations estimation using GNSS measurements M Kaselimi, A Voulodimos, N Doulamis, A Doulamis, D Delikaraoglou IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 29 | 2021 |
| Interpretable deep learning framework for land use and land cover classification in remote sensing using SHAP A Temenos, N Temenos, M Kaselimi, A Doulamis, N Doulamis IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023 | 27 | 2023 |
| Novel insights in spatial epidemiology utilizing explainable AI (XAI) and remote sensing A Temenos, IN Tzortzis, M Kaselimi, I Rallis, A Doulamis, N Doulamis Remote Sensing 14 (13), 3074, 2022 | 20 | 2022 |
| Performance-aware NILM model optimization for edge deployment S Sykiotis, S Athanasoulias, M Kaselimi, A Doulamis, N Doulamis, ... IEEE Transactions on Green Communications and Networking, 2023 | 9 | 2023 |
| A sequence-to-sequence temporal convolutional neural network for ionosphere prediction using GNSS observations M Kaselimi, N Doulamis, A Doulamis, D Delikaraoglou The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 9 | 2020 |
| A review of non-invasive sensors and artificial intelligence models for diabetic foot monitoring M Kaselimi, E Protopapadakis, A Doulamis, N Doulamis Frontiers in Physiology 13, 924546, 2022 | 8 | 2022 |
| A first approach using graph neural networks on non-intrusive-load-monitoring S Athanasoulias, S Sykiotis, M Kaselimi, E Protopapadakis, N Ipiotis Proceedings of the 15th International Conference on PErvasive Technologies …, 2022 | 5 | 2022 |
| COVID-19 spatio-temporal evolution using deep learning at a European level I Kavouras, M Kaselimi, E Protopapadakis, N Bakalos, N Doulamis, ... Sensors 22 (10), 3658, 2022 | 5 | 2022 |
| Spatio-temporal ionospheric TEC prediction using a deep CNN-GRU model on GNSS measurements M Kaselimi, N Doulamis, A Voulodimos, A Doulamis, D Delikaraoglou 2021 IEEE International geoscience and remote sensing symposium IGARSS, 8317 …, 2021 | 5 | 2021 |
| Performance comparison of physics-based and machine learning assisted multi-fidelity methods for the management of coastal aquifer systems G Kopsiaftis, M Kaselimi, E Protopapadakis, A Voulodimos, A Doulamis, ... Frontiers in Water 5, 1195029, 2023 | 4 | 2023 |
| Long-term recurrent convolutional networks for non-intrusive load monitoring M Kaselimi, N Doulamis Proceedings of the 13th ACM International Conference on PErvasive …, 2020 | 4 | 2020 |
