Georgios Leontidis

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 55

Top Venues

CoRR

Comput. Biol. Medicine

Comput. Electron. Agric.

SSCI

University of Lincoln, UK (PHD)

Education History

University of Lincoln, UK

PHD

Publications

Miles Everett, Aiden Durrant, Mingjun Zhong, Georgios Leontidis
Capsule Network Projectors are Equivariant and Invariant Learners. CoRR (2024)
Mohammad Alkhalefi, Georgios Leontidis, Mingjun Zhong
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations. CoRR (2024)
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) (2024)
Miles Everett, Mingjun Zhong, Georgios Leontidis
Masked Capsule Autoencoders. CoRR (2024)
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 (2024)
Mohammad Alkhalefi, Georgios Leontidis, Mingjun Zhong
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination methods. Trans. Mach. Learn. Res. 2024 (2024)
Alzbeta Manová, Aiden Durrant, Georgios Leontidis
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning. CoRR (2023)
Iraklis Giannakis, Anshuman Bhardwaj, Lydia Sam, Georgios Leontidis
Deep learning universal crater detection using Segment Anything Model (SAM). CoRR (2023)
Andy Li, Milan Markovic, Peter Edwards, Georgios Leontidis
Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing. CoRR (2023)
Rebecca Potts, Rick Hackney, Georgios Leontidis
Tabular Machine Learning Methods for Predicting Gas Turbine Emissions. CoRR (2023)
Rebecca Potts, Rick Hackney, Georgios Leontidis
Tabular Machine Learning Methods for Predicting Gas Turbine Emissions. Mach. Learn. Knowl. Extr. 5 (3) (2023)
Miles Everett, Mingjun Zhong, Georgios Leontidis
Vanishing Activations: A Symptom of Deep Capsule Networks. CoRR (2023)
George Onoufriou, Marc Hanheide, Georgios Leontidis
Premonition Net, a multi-timeline transformer network architecture towards strawberry tabletop yield forecasting. Comput. Electron. Agric. 208 (2023)
Mohammad Alkhalefi, Georgios Leontidis, Mingjun Zhong
Semantic Positive Pairs for Enhancing Contrastive Instance Discrimination. CoRR (2023)
Aiden Durrant, Georgios Leontidis
HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes. CoRR (2023)
Miles Everett, Mingjun Zhong, Georgios Leontidis
ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method. CoRR (2023)
Mamatha Thota, Dewei Yi, Georgios Leontidis
LLEDA - Lifelong Self-Supervised Domain Adaptation. Knowl. Based Syst. 279 (2023)
Miles Everett, Mingjun Zhong, Georgios Leontidis
ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method. Trans. Mach. Learn. Res. 2023 (2023)
George Onoufriou, Marc Hanheide, Georgios Leontidis
EDLaaS: Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting. Sensors 22 (21) (2022)
Aiden Durrant, Georgios Leontidis
Hyperspherically regularized networks for self-supervision. Image Vis. Comput. 124 (2022)
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 (2022)
Fabio De Sousa Ribeiro, Kevin Duarte, Miles Everett, Georgios Leontidis, Mubarak Shah
Learning with Capsules: A Survey. CoRR (2022)
Mamatha Thota, Dewei Yi, Georgios Leontidis
LLEDA - Lifelong Self-Supervised Domain Adaptation. CoRR (2022)
George Onoufriou, Marc Hanheide, Georgios Leontidis
Premonition Net, A Multi-Timeline Transformer Network Architecture Towards Strawberry Tabletop Yield Forecasting. CoRR (2022)
Mamatha Thota, Georgios Leontidis
Contrastive Domain Adaptation. CVPR Workshops (2021)
Mamatha Thota, Georgios Leontidis
Contrastive Domain Adaptation. CoRR (2021)
George Onoufriou, Paul Mayfield, Georgios Leontidis
Fully Homomorphically Encrypted Deep Learning as a Service. CoRR (2021)
George Onoufriou, Paul Mayfield, Georgios Leontidis
Fully Homomorphically Encrypted Deep Learning as a Service. Mach. Learn. Knowl. Extr. 3 (4) (2021)
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 (2021)
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 (2021)
George Onoufriou, Marc Hanheide, Georgios Leontidis
EDLaaS; Fully Homomorphic Encryption Over Neural Network Graphs. CoRR (2021)
Aiden Durrant, Georgios Leontidis
Hyperspherically Regularized Networks for BYOL Improves Feature Uniformity and Separability. CoRR (2021)
Stefanos Karakanis, Georgios Leontidis
Lightweight deep learning models for detecting COVID-19 from chest X-ray images. Comput. Biol. Medicine 130 (2021)
Mamatha Thota, Stefanos D. Kollias, Mark Swainson, Georgios Leontidis
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging. CoRR (2020)
Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias
Deep Bayesian Self-Training. Neural Comput. Appl. 32 (9) (2020)
Wei Wei, Bei Zhou, Georgios Leontidis
A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms. CoRR (2020)
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 (2020)
Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias
Introducing Routing Uncertainty in Capsule Networks. NeurIPS (2020)
Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias
Capsule Routing via Variational Bayes. AAAI (2020)
Mamatha Thota, Stefanos D. Kollias, Mark Swainson, Georgios Leontidis
Multi-source domain adaptation for quality control in retail food packaging. Comput. Ind. 123 (2020)
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 (2020)
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 (2019)
Bashar Alhnaity, Simon Pearson, Georgios Leontidis, Stefanos D. Kollias
Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments. CoRR (2019)
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 (2019)
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)
Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias
Capsule Routing via Variational Bayes. CoRR (2019)
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 (2018)
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)
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 (2018)
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)
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)
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)
Georgios Leontidis
A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images. Comput. Biol. Medicine 90 (2017)
Dimitrios Kollias, Miao Yu, Athanasios Tagaris, Georgios Leontidis, Andreas Stafylopatis, Stefanos D. Kollias
Adaptation and contextualization of deep neural network models. SSCI (2017)
Georgios Leontidis, Bashir Al-Diri, Andrew Hunter
Summarising the retinal vascular calibres in healthy, diabetic and diabetic retinopathy eyes. Comput. Biol. Medicine 72 (2016)
Jeffrey Wigdahl, Pedro Guimarães, Georgios Leontidis, Areti Triantafyllou, Alfredo Ruggeri
Automatic Gunn and Salus sign quantification in retinal images. EMBC (2015)
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)

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Publication Activity (10 Years)

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Georgios Leontidis