default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGeorgios Leontidis
Person information
- affiliation: University of Aberdeen, UK
- affiliation (former): University of Lincoln, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:09 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
