Enhancing electrical load prediction using a bidirectional LSTM neural network C Pavlatos, E Makris, G Fotis, V Vita, V Mladenov Electronics 12 (22), 4652, 2023 | 40 | 2023 |
Utilization of artificial neural networks for precise electrical load prediction C Pavlatos, E Makris, G Fotis, V Vita, V Mladenov Technologies 11 (3), 70, 2023 | 36 | 2023 |
A probabilistic interval-based event calculus for activity recognition A Artikis, E Makris, G Paliouras Annals of Mathematics and Artificial Intelligence 89 (1), 29-52, 2021 | 19 | 2021 |
Knotify: An efficient parallel platform for RNA pseudoknot prediction using syntactic pattern recognition C Andrikos, E Makris, A Kolaitis, G Rassias, C Pavlatos, P Tsanakas Methods and Protocols 5 (1), 14, 2022 | 13 | 2022 |
An intelligent grammar-based platform for RNA H-type pseudoknot prediction E Makris, A Kolaitis, C Andrikos, V Moulos, P Tsanakas, C Pavlatos IFIP International Conference on Artificial Intelligence Applications and …, 2022 | 6 | 2022 |
Knotify+: toward the prediction of RNA H-type pseudoknots, including bulges and internal loops E Makris, A Kolaitis, C Andrikos, V Moulos, P Tsanakas, C Pavlatos Biomolecules 13 (2), 308, 2023 | 5 | 2023 |
Syntactic Pattern Recognition for the Prediction of L-Type Pseudoknots in RNA C Koroulis, E Makris, A Kolaitis, P Tsanakas, C Pavlatos Applied Sciences 13 (8), 5168, 2023 | 4 | 2023 |
A Dual-Stage Processing Architecture for Unmanned Aerial Vehicle Object Detection and Tracking Using Lightweight Onboard and Ground Server Computations O Ntousis, E Makris, P Tsanakas, C Pavlatos Technologies 13 (1), 35, 2025 | | 2025 |
Knotify_V2. 0: Deciphering RNA Secondary Structures with H-Type Pseudoknots and Hairpin Loops A Kolaitis, E Makris, AA Karagiannis, P Tsanakas, C Pavlatos Genes 15 (6), 670, 2024 | | 2024 |
Interval-based Activity Recognition. E Makris, A Artikis, G Paliouras PLP@ ILP, 28-35, 2018 | | 2018 |