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Georgios Leontidis
Person information
- affiliation: University of Aberdeen, UK
- affiliation (former): University of Lincoln, UK
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2020 – today
- 2024
- [j19]Fabio De Sousa Ribeiro, Kevin Duarte, Miles Everett, Georgios Leontidis, Mubarak Shah:
Object-centric Learning with Capsule Networks: A Survey. ACM Comput. Surv. 56(11): 291:1-291:291 (2024) - [j18]Andy Li, Milan Markovic, Peter Edwards, Georgios Leontidis:
Model pruning enables localized and efficient federated learning for yield forecasting and data sharing. Expert Syst. Appl. 242: 122847 (2024) - [j17]Mohammad Alkhalefi, Georgios Leontidis, Mingjun Zhong:
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination methods. Trans. Mach. Learn. Res. 2024 (2024) - [e1]Gordon D. Waiter, Tryphon Lambrou, Georgios Leontidis, Nir Oren, Teresa Morris, Sharon Gordon:
Medical Image Understanding and Analysis - 27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19-21, 2023, Proceedings. Lecture Notes in Computer Science 14122, Springer 2024, ISBN 978-3-031-48592-3 [contents] - [i28]Miles Everett, Mingjun Zhong, Georgios Leontidis:
Masked Capsule Autoencoders. CoRR abs/2403.04724 (2024) - [i27]Mohammad Alkhalefi, Georgios Leontidis, Mingjun Zhong:
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations. CoRR abs/2403.06813 (2024) - [i26]Miles Everett, Aiden Durrant, Mingjun Zhong, Georgios Leontidis:
Capsule Network Projectors are Equivariant and Invariant Learners. CoRR abs/2405.14386 (2024) - 2023
- [j16]George Onoufriou, Marc Hanheide, Georgios Leontidis:
Premonition Net, a multi-timeline transformer network architecture towards strawberry tabletop yield forecasting. Comput. Electron. Agric. 208: 107784 (2023) - [j15]Mamatha Thota, Dewei Yi, Georgios Leontidis:
LLEDA - Lifelong Self-Supervised Domain Adaptation. Knowl. Based Syst. 279: 110959 (2023) - [j14]Rebecca Potts, Rick Hackney, Georgios Leontidis:
Tabular Machine Learning Methods for Predicting Gas Turbine Emissions. Mach. Learn. Knowl. Extr. 5(3): 1055-1075 (2023) - [j13]Miles Everett, Mingjun Zhong, Georgios Leontidis:
ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method. Trans. Mach. Learn. Res. 2023 (2023) - [i25]Iraklis Giannakis, Anshuman Bhardwaj, Lydia Sam, Georgios Leontidis:
Deep learning universal crater detection using Segment Anything Model (SAM). CoRR abs/2304.07764 (2023) - [i24]Andy Li, Milan Markovic, Peter Edwards, Georgios Leontidis:
Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing. CoRR abs/2304.09876 (2023) - [i23]Aiden Durrant, Georgios Leontidis:
HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes. CoRR abs/2305.10926 (2023) - [i22]Miles Everett, Mingjun Zhong, Georgios Leontidis:
Vanishing Activations: A Symptom of Deep Capsule Networks. CoRR abs/2305.11178 (2023) - [i21]Alzbeta Manová, Aiden Durrant, Georgios Leontidis:
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning. CoRR abs/2305.11701 (2023) - [i20]Mohammad Alkhalefi, Georgios Leontidis, Mingjun Zhong:
Semantic Positive Pairs for Enhancing Contrastive Instance Discrimination. CoRR abs/2306.16122 (2023) - [i19]Rebecca Potts, Rick Hackney, Georgios Leontidis:
Tabular Machine Learning Methods for Predicting Gas Turbine Emissions. CoRR abs/2307.08386 (2023) - [i18]Miles Everett, Mingjun Zhong, Georgios Leontidis:
ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method. CoRR abs/2307.09944 (2023) - 2022
- [j12]Aiden Durrant, Milan Markovic, David Matthews, David May, Jessica A. Enright, Georgios Leontidis:
The role of cross-silo federated learning in facilitating data sharing in the agri-food sector. Comput. Electron. Agric. 193: 106648 (2022) - [j11]Aiden Durrant, Georgios Leontidis:
Hyperspherically regularized networks for self-supervision. Image Vis. Comput. 124: 104494 (2022) - [j10]George Onoufriou, Marc Hanheide, Georgios Leontidis:
EDLaaS: Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting. Sensors 22(21): 8124 (2022) - [i17]Fabio De Sousa Ribeiro, Kevin Duarte, Miles Everett, Georgios Leontidis, Mubarak Shah:
Learning with Capsules: A Survey. CoRR abs/2206.02664 (2022) - [i16]George Onoufriou, Marc Hanheide, Georgios Leontidis:
Premonition Net, A Multi-Timeline Transformer Network Architecture Towards Strawberry Tabletop Yield Forecasting. CoRR abs/2211.08177 (2022) - [i15]Mamatha Thota, Dewei Yi, Georgios Leontidis:
LLEDA - Lifelong Self-Supervised Domain Adaptation. CoRR abs/2211.09027 (2022) - 2021
- [j9]Stefanos Karakanis, Georgios Leontidis:
Lightweight deep learning models for detecting COVID-19 from chest X-ray images. Comput. Biol. Medicine 130: 104181 (2021) - [j8]Bashar Alhnaity, Stefanos D. Kollias, Georgios Leontidis, Shouyong Jiang, Bert Schamp, Simon Pearson:
An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth. Inf. Sci. 560: 35-50 (2021) - [j7]George Onoufriou, Paul Mayfield, Georgios Leontidis:
Fully Homomorphically Encrypted Deep Learning as a Service. Mach. Learn. Knowl. Extr. 3(4): 819-834 (2021) - [c10]Mamatha Thota, Georgios Leontidis:
Contrastive Domain Adaptation. CVPR Workshops 2021: 2209-2218 - [i14]Mamatha Thota, Georgios Leontidis:
Contrastive Domain Adaptation. CoRR abs/2103.15566 (2021) - [i13]Aiden Durrant, Milan Markovic, David Matthews, David May, Jessica A. Enright, Georgios Leontidis:
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector. CoRR abs/2104.07468 (2021) - [i12]Aiden Durrant, Georgios Leontidis:
Hyperspherically Regularized Networks for BYOL Improves Feature Uniformity and Separability. CoRR abs/2105.00925 (2021) - [i11]George Onoufriou, Paul Mayfield, Georgios Leontidis:
Fully Homomorphically Encrypted Deep Learning as a Service. CoRR abs/2107.12997 (2021) - [i10]George Onoufriou, Marc Hanheide, Georgios Leontidis:
EDLaaS; Fully Homomorphic Encryption Over Neural Network Graphs. CoRR abs/2110.13638 (2021) - 2020
- [j6]Mamatha Thota, Stefanos D. Kollias, Mark Swainson, Georgios Leontidis:
Multi-source domain adaptation for quality control in retail food packaging. Comput. Ind. 123: 103293 (2020) - [j5]Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias:
Deep Bayesian Self-Training. Neural Comput. Appl. 32(9): 4275-4291 (2020) - [c9]Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias:
Capsule Routing via Variational Bayes. AAAI 2020: 3749-3756 - [c8]Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias:
Introducing Routing Uncertainty in Capsule Networks. NeurIPS 2020 - [i9]Mamatha Thota, Stefanos D. Kollias, Mark Swainson, Georgios Leontidis:
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging. CoRR abs/2001.10335 (2020) - [i8]Benedict Delahaye Chivers, John Wallbank, Steven J. Cole, Ondrej Sebek, Simon Stanley, Matthew Fry, Georgios Leontidis:
Imputation of missing sub-hourly precipitation data in a large sensor network: a machine learning approach. CoRR abs/2004.11123 (2020) - [i7]Wei Wei, Bei Zhou, Georgios Leontidis:
A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms. CoRR abs/2006.09213 (2020) - [i6]Bashar Alhnaity, Stefanos D. Kollias, Georgios Leontidis, Shouyong Jiang, Bert Schamp, Simon Pearson:
An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth. CoRR abs/2012.04041 (2020)
2010 – 2019
- 2019
- [j4]Georgios Leontidis:
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 104: 354 (2019) - [j3]George Onoufriou, Ronald Bickerton, Simon Pearson, Georgios Leontidis:
Nemesyst: A hybrid parallelism deep learning-based framework applied for internet of things enabled food retailing refrigeration systems. Comput. Ind. 113 (2019) - [i5]Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias:
Capsule Routing via Variational Bayes. CoRR abs/1905.11455 (2019) - [i4]George Onoufriou, Ronald Bickerton, Simon Pearson, Georgios Leontidis:
Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems. CoRR abs/1906.01600 (2019) - [i3]Bashar Alhnaity, Simon Pearson, Georgios Leontidis, Stefanos D. Kollias:
Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments. CoRR abs/1907.00624 (2019) - 2018
- [c7]Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias:
An adaptable deep learning system for optical character verification in retail food packaging. EAIS 2018: 1-8 - [c6]Fabio De Sousa Ribeiro, Liyun Gong, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Miao Yu, Georgios Leontidis, Xujiong Ye, Stefanos D. Kollias:
An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging. ICIP 2018: 2376-2380 - [c5]Francesco Calivá, Fabio De Sousa Ribeiro, Antonios Mylonakis, Christophe Demazière, Paolo Vinai, Georgios Leontidis, Stefanos D. Kollias:
A Deep Learning Approach to Anomaly Detection in Nuclear Reactors. IJCNN 2018: 1-8 - [c4]Fabio De Sousa Ribeiro, Francesco Calivá, Dionysios Chionis, Abdelhamid Dokhane, Antonios Mylonakis, Christophe Demazière, Georgios Leontidis, Stefanos D. Kollias:
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis. SSCI 2018: 120-127 - [i2]Fabio De Sousa Ribeiro, Francesco Calivá, Dionysios Chionis, Abdelhamid Dokhane, Antonios Mylonakis, Christophe Demazière, Georgios Leontidis, Stefanos D. Kollias:
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis. CoRR abs/1807.10096 (2018) - [i1]Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias:
Deep Bayesian Uncertainty Estimation for Adaptation and Self-Annotation of Food Packaging Images. CoRR abs/1812.01681 (2018) - 2017
- [j2]Georgios Leontidis:
A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images. Comput. Biol. Medicine 90: 98-115 (2017) - [c3]Dimitrios Kollias, Miao Yu, Athanasios Tagaris, Georgios Leontidis, Andreas Stafylopatis, Stefanos D. Kollias:
Adaptation and contextualization of deep neural network models. SSCI 2017: 1-8 - 2016
- [b1]Georgios Leontidis:
Early screening and diagnosis of diabetic retinopathy. University of Lincoln, UK, 2016 - [j1]Georgios Leontidis, Bashir Al-Diri, Andrew Hunter:
Summarising the retinal vascular calibres in healthy, diabetic and diabetic retinopathy eyes. Comput. Biol. Medicine 72: 65-74 (2016) - 2015
- [c2]Jeffrey Wigdahl, Pedro Guimarães, Georgios Leontidis, Areti Triantafyllou, Alfredo Ruggeri:
Automatic Gunn and Salus sign quantification in retinal images. EMBC 2015: 5251-5254 - [c1]Georgios Leontidis, Bashir Al-Diri, Jeffrey Wigdahl, Andrew Hunter:
Evaluation of geometric features as biomarkers of diabetic retinopathy for characterizing the retinal vascular changes during the progression of diabetes. EMBC 2015: 5255-5259
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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