| Are Distributed Ledger Technologies the panacea for food traceability? S Pearson, D May, G Leontidis, M Swainson, S Brewer, L Bidaut, JG Frey, ... Global food security 20, 145-149, 2019 | 254 | 2019 |
| Lightweight deep learning models for detecting COVID-19 from chest X-ray images S Karakanis, G Leontidis Computers in Biology and Medicine 130, 104181, 2021 | 149 | 2021 |
| Capsule Routing via Variational Bayes. FDS Ribeiro, G Leontidis, SD Kollias Thirty-Fourth AAAI Conference on Artificial Intelligence, 3749-3756, 2020 | 114 | 2020 |
| Using deep learning to predict plant growth and yield in greenhouse environments B Alhnaity, S Pearson, G Leontidis, S Kollias International Symposium on Advanced Technologies and Management for …, 2019 | 106* | 2019 |
| A deep learning approach to anomaly detection in nuclear reactors F Calivá, FS De Ribeiro, A Mylonakis, C Demazi’ere, P Vinai, G Leontidis, ... 2018 International joint conference on neural networks (IJCNN), 1-8, 2018 | 106 | 2018 |
| The role of cross-silo federated learning in facilitating data sharing in the agri-food sector A Durrant, M Markovic, D Matthews, D May, J Enright, G Leontidis Computers and Electronics in Agriculture 193, 106648, 2022 | 87 | 2022 |
| Contrastive Domain Adaptation M Thota, G Leontidis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 79 | 2021 |
| How might technology rise to the challenge of data sharing in agri-food? A Durrant, M Markovic, D Matthews, D May, G Leontidis, J Enright Global Food Security 28, 100493, 2021 | 72 | 2021 |
| Adaptation and contextualization of deep neural network models D Kollias, M Yu, A Tagaris, G Leontidis, S Kollias, AG Stafylopatis Computational Intelligence, 2017 IEEE Symposium Series on, 1-8, 2017 | 66 | 2017 |
| An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth B Alhnaity, S Kollias, G Leontidis, S Jiang, B Schamp, S Pearson Information Sciences 560, 35-50, 2021 | 56 | 2021 |
| Overview of the CORTEX project C Demazière, P Vinai, M Hursin, S Kollias, G Leontidis, J Herb Procedings of PHYSOR 2018: Reactor Physics Paving The Way Towards More …, 2018 | 56 | 2018 |
| A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images G Leontidis, B Al-Diri, A Hunter Computers in biology and medicine 90, 98-115, 2017 | 54 | 2017 |
| An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging FDS Ribeiro, L Gong, F Calivá, M Swainson, K Gudmundsson, M Yu, ... Image Processing, 2018 IEEE International Conference on, 2018 | 52 | 2018 |
| Deep bayesian self-training FDS Ribeiro, F Calivá, M Swainson, K Gudmundsson, G Leontidis, ... Neural Computing and Applications, 1-17, 2019 | 49 | 2019 |
| A flexible deep learning crater detection scheme using Segment Anything Model (SAM) I Giannakis, A Bhardwaj, L Sam, G Leontidis Icarus 408, 115797, 2024 | 48* | 2024 |
| Introducing Routing Uncertainty in Capsule Networks F De Sousa Ribeiro, G Leontidis, S Kollias Advances in Neural Information Processing Systems (NeurIPS) 33, 6490-6502, 2020 | 47 | 2020 |
| Imputation of missing sub-hourly precipitation data in a large sensor network: A machine learning approach BD Chivers, J Wallbank, SJ Cole, O Sebek, S Stanley, M Fry, G Leontidis Journal of Hydrology 588, 125126, 2020 | 40 | 2020 |
| Multi-source domain adaptation for quality control in retail food packaging M Thota, S Kollias, M Swainson, G Leontidis Computers in Industry 123, 103293, 2020 | 32* | 2020 |
| An adaptable deep learning system for optical character verification in retail food packaging FDS Ribeiro, F Caliva, M Swainson, K Gudmundsson, G Leontidis, ... 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2018 | 29 | 2018 |
| Nemesyst: A hybrid parallelism deep learning-based framework applied for internet of things enabled food retailing refrigeration systems G Onoufriou, R Bickerton, S Pearson, G Leontidis Computers in Industry 113, 103133, 2019 | 28 | 2019 |
Stefanos KolliasProfessor of Computer and Electricall Engineering National Technical University of AthensEmail verificata su cs.ntua.gr