| Uncertainty estimation of machine learning spatial precipitation predictions from satellite data G Papacharalampous, H Tyralis, N Doulamis, A Doulamis Machine Learning: Science and Technology, 2024 | | 2024 |
| Uncertainty estimation in satellite precipitation spatial prediction by combining distributional regression algorithms G Papacharalampous, H Tyralis, N Doulamis, A Doulamis arXiv preprint arXiv:2407.01623, 2024 | | 2024 |
| A Deep Learning Framework for Segmentation of Road Defects Using ResUNet-a I Katsamenis, G Kopsiaftis, A Voulodimos, I Rallis, I Georgoulas, ... Proceedings of the 17th International Conference on PErvasive Technologies …, 2024 | | 2024 |
| Toward Health-Centered Monitoring framework promoting Well-Being and Nature-based Solutions C Zafeiropoulos, A Temenos, A Angeli, A Giakoumaki, P Gallos, ... Proceedings of the 17th International Conference on PErvasive Technologies …, 2024 | | 2024 |
| Ocean-DC: An analysis ready data cube framework for environmental and climate change monitoring over the port areas I Kavouras, I Rallis, N Doulamis, A Doulamis Proceedings of the 17th International Conference on PErvasive Technologies …, 2024 | | 2024 |
| Networking Solutions for the Evaluation of Nature-Based Interventions in Cities S Kalogridis, E Sardis, E Protopapadakis, A Doulamis, I Kavouras, ... 2024 IEEE International Workshop on Metrology for Living Environment …, 2024 | | 2024 |
| Multi-scale Intervention Planning Based on Generative Design I Kavouras, I Rallis, E Sardis, E Protopapadakis, A Doulamis, N Doulamis International Conference on Intelligent Tutoring Systems, 225-233, 2024 | | 2024 |
| Goat-CNN: A lightweight convolutional neural network for pose-independent body condition score estimation in goats A Temenos, A Voulodimos, V Korelidou, A Gelasakis, D Kalogeras, ... Journal of Agriculture and Food Research 16, 101174, 2024 | | 2024 |
| the Plegma dataset: Domestic appliance-level and aggregate electricity demand with metadata from Greece S Athanasoulias, F Guasselli, N Doulamis, A Doulamis, N Ipiotis, A Katsari, ... Scientific Data 11 (1), 376, 2024 | | 2024 |
| C2A-DC: A context-aware adaptive data cube framework for environmental monitoring and climate change crisis management A Temenos, N Temenos, IN Tzortzis, I Rallis, A Doulamis, N Doulamis Remote Sensing Applications: Society and Environment 34, 101171, 2024 | 2 | 2024 |
| Uncertainty estimation in spatial interpolation of satellite precipitation with ensemble learning G Papacharalampous, H Tyralis, N Doulamis, A Doulamis arXiv preprint arXiv:2403.10567, 2024 | 1 | 2024 |
| Quantifying predictive uncertainty in satellite precipitation data correction using ensemble learning G Papacharalampous, H Tyralis, N Doulamis, A Doulamis EGU24, 2024 | | 2024 |
| Predictive uncertainty estimation in satellite precipitation data correction using machine learning H Tyralis, G Papacharalampous, N Doulamis, A Doulamis EGU24, 2024 | | 2024 |
| Incad: 2D Vector Drawings Creation Using Instance Segmentation T Betsas, A Georgopoulos, A Doulamis The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2024 | | 2024 |
| Learning using privileged information for segmenting tumors on digital mammograms IN Tzortzis, K Makantasis, I Rallis, N Bakalos, A Doulamis, N Doulamis arXiv preprint arXiv:2402.06379, 2024 | | 2024 |
| Journal of Agriculture and Food Research A Temenos, A Voulodimos, V Korelidou, A Gelasakis, D Kalogeras, ... Journal of Agriculture and Food Research 16, 101174, 2024 | | 2024 |
| Machine learning for uncertainty estimation in fusing precipitation observations from satellites and ground-based gauges G Papacharalampous, H Tyralis, N Doulamis, A Doulamis arXiv preprint arXiv:2311.07511, 2023 | | 2023 |
| Graph-based semi-supervised learning with tensor embeddings for hyperspectral data classification I Georgoulas, E Protopapadakis, K Makantasis, D Seychell, A Doulamis, ... IEEE Access, 2023 | 1 | 2023 |
| Investigating the Impact of a Low-Rank Tensor-Based Approach on Deforestation Imagery C Zafeiropoulos, IN Tzortzis, E Protopapadakis, M Kaselimi, A Doulamis, ... International Symposium on Visual Computing, 501-512, 2023 | | 2023 |
| A few-shot attention recurrent residual U-Net for crack segmentation I Katsamenis, E Protopapadakis, N Bakalos, A Varvarigos, A Doulamis, ... International Symposium on Visual Computing, 199-209, 2023 | 11 | 2023 |
