Georgios Leontidis

CoRR, 2024

Masked Capsule Autoencoders.

[BibT_eX]

[DOI]

Miles Everett

CoRR, 2024

Farm Explorer: A Tool for Calculating Transparent Greenhouse Gas Emissions.

[BibT_eX]

[DOI]

Proceedings of the ISWC 2024 Posters, 2024

Accelerate Training of Personalised Multi-Task Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Automation and Computing, 2024

2023

LLEDA - Lifelong Self-Supervised Domain Adaptation.

[BibT_eX]

[DOI]

Mamatha Thota

Dewei Yi

Knowl. Based Syst., November, 2023

Tabular Machine Learning Methods for Predicting Gas Turbine Emissions.

[BibT_eX]

[DOI]

Rebecca Potts

Rick Hackney

Mach. Learn. Knowl. Extr., June, 2023

Premonition Net, a multi-timeline transformer network architecture towards strawberry tabletop yield forecasting.

[BibT_eX]

[DOI]

Marc Hanheide

Comput. Electron. Agric., May, 2023

ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method.

[BibT_eX]

[DOI]

Miles Everett

Trans. Mach. Learn. Res., 2023

Semantic Positive Pairs for Enhancing Contrastive Instance Discrimination.

[BibT_eX]

[DOI]

Mohammad Alkhalefi

CoRR, 2023

S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning.

[BibT_eX]

[DOI]

Alzbeta Manová

CoRR, 2023

Vanishing Activations: A Symptom of Deep Capsule Networks.

[BibT_eX]

[DOI]

Miles Everett

CoRR, 2023

HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes.

[BibT_eX]

[DOI]

CoRR, 2023

Deep learning universal crater detection using Segment Anything Model (SAM).

[BibT_eX]

[DOI]

CoRR, 2023

2022

EDLaaS: Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting.

[BibT_eX]

[DOI]

Marc Hanheide

Sensors, 2022

Hyperspherically regularized networks for self-supervision.

[BibT_eX]

[DOI]

Image Vis. Comput., 2022

Learning with Capsules: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

The role of cross-silo federated learning in facilitating data sharing in the agri-food sector.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2022

2021

Fully Homomorphically Encrypted Deep Learning as a Service.

[BibT_eX]

[DOI]

Paul Mayfield

Mach. Learn. Knowl. Extr., 2021

An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth.

[BibT_eX]

[DOI]

Inf. Sci., 2021

EDLaaS; Fully Homomorphic Encryption Over Neural Network Graphs.

[BibT_eX]

[DOI]

Marc Hanheide

CoRR, 2021

Hyperspherically Regularized Networks for BYOL Improves Feature Uniformity and Separability.

[BibT_eX]

[DOI]

CoRR, 2021

Lightweight deep learning models for detecting COVID-19 from chest X-ray images.

[BibT_eX]

[DOI]

Stefanos Karakanis

Comput. Biol. Medicine, 2021

Contrastive Domain Adaptation.

[BibT_eX]

[DOI]

Mamatha Thota

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Deep Bayesian Self-Training.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth.

[BibT_eX]

[DOI]

CoRR, 2020

A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms.

[BibT_eX]

[DOI]

Wei Wei

Bei Zhou

Benedict Delahaye Chivers

CoRR, 2020

Imputation of missing sub-hourly precipitation data in a large sensor network: a machine learning approach.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-source domain adaptation for quality control in retail food packaging.

[BibT_eX]

[DOI]

Comput. Ind., 2020

Introducing Routing Uncertainty in Capsule Networks.

[BibT_eX]

[DOI]

Stefanos D. Kollias

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Capsule Routing via Variational Bayes.

[BibT_eX]

[DOI]

Stefanos D. Kollias

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments.

[BibT_eX]

[DOI]

CoRR, 2019

Nemesyst: A hybrid parallelism deep learning-based framework applied for internet of things enabled food retailing refrigeration systems.

[BibT_eX]

[DOI]

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].

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2019

2018

Deep Bayesian Uncertainty Estimation for Adaptation and Self-Annotation of Food Packaging Images.

[BibT_eX]

[DOI]

CoRR, 2018

Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

A Deep Learning Approach to Anomaly Detection in Nuclear Reactors.

[BibT_eX]

[DOI]

Francesco Calivá

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.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

An adaptable deep learning system for optical character verification in retail food packaging.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2017

Adaptation and contextualization of deep neural network models.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

Early screening and diagnosis of diabetic retinopathy.

[BibT_eX]

[DOI]

PhD thesis, 2016

Summarising the retinal vascular calibres in healthy, diabetic and diabetic retinopathy eyes.

[BibT_eX]

[DOI]