Georgios Leontidis
Orcid: 0000-0001-6671-5568Affiliations:
- University of Aberdeen, UK
- University of Lincoln, UK (former)
According to our database1,
Georgios Leontidis
authored at least 44 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on abdn.ac.uk
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on orcid.org
On csauthors.net:
Bibliography
2024
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations.
CoRR, 2024
2023
Knowl. Based Syst., November, 2023
Premonition Net, a multi-timeline transformer network architecture towards strawberry tabletop yield forecasting.
Comput. Electron. Agric., May, 2023
CoRR, 2023
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning.
CoRR, 2023
CoRR, 2023
Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing.
CoRR, 2023
CoRR, 2023
2022
EDLaaS: Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting.
Sensors, 2022
The role of cross-silo federated learning in facilitating data sharing in the agri-food sector.
Comput. Electron. Agric., 2022
2021
Mach. Learn. Knowl. Extr., 2021
An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth.
Inf. Sci., 2021
Hyperspherically Regularized Networks for BYOL Improves Feature Uniformity and Separability.
CoRR, 2021
Comput. Biol. Medicine, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth.
CoRR, 2020
A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms.
CoRR, 2020
Imputation of missing sub-hourly precipitation data in a large sensor network: a machine learning approach.
CoRR, 2020
CoRR, 2020
Comput. Ind., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
Nemesyst: A hybrid parallelism deep learning-based framework applied for internet of things enabled food retailing refrigeration systems.
Comput. Ind., 2019
Corrigendum to "A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images" [Comput. Biol. Med. 90C (2017) 98-115].
Comput. Biol. Medicine, 2019
2018
Deep Bayesian Uncertainty Estimation for Adaptation and Self-Annotation of Food Packaging Images.
CoRR, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
An adaptable deep learning system for optical character verification in retail food packaging.
Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018
2017
A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images.
Comput. Biol. Medicine, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
2016
Summarising the retinal vascular calibres in healthy, diabetic and diabetic retinopathy eyes.
Comput. Biol. Medicine, 2016
2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Evaluation of geometric features as biomarkers of diabetic retinopathy for characterizing the retinal vascular changes during the progression of diabetes.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015