research
∙
07/19/2023
ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method
Capsule Networks have emerged as a powerful class of deep learning archi...
share
research
∙
07/17/2023
Tabular Machine Learning Methods for Predicting Gas Turbine Emissions
Predicting emissions for gas turbines is critical for monitoring harmful...
research
∙
06/28/2023
Semantic Positive Pairs for Enhancing Contrastive Instance Discrimination
Self-supervised learning algorithms based on instance discrimination eff...
research
∙
05/19/2023
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning
The recent emergence of Self-Supervised Learning (SSL) as a fundamental ...
research
∙
05/18/2023
HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes
Hyperbolic manifolds for visual representation learning allow for effect...
research
∙
04/19/2023
Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing
Federated Learning (FL) presents a decentralized approach to model train...
research
∙
04/16/2023
Deep learning universal crater detection using Segment Anything Model (SAM)
Craters are amongst the most important morphological features in planeta...
research
∙
11/15/2022
Premonition Net, A Multi-Timeline Transformer Network Architecture Towards Strawberry Tabletop Yield Forecasting
Yield forecasting is a critical first step necessary for yield optimisat...
research
∙
11/12/2022
LLEDA – Lifelong Self-Supervised Domain Adaptation
Lifelong domain adaptation remains a challenging task in machine learnin...
research
∙
06/06/2022
Learning with Capsules: A Survey
Capsule networks were proposed as an alternative approach to Convolution...
research
∙
10/26/2021
EDLaaS; Fully Homomorphic Encryption Over Neural Network Graphs
We present automatically parameterised Fully Homomorphic Encryption (FHE...
research
∙
07/26/2021
Fully Homomorphically Encrypted Deep Learning as a Service
Fully Homomorphic Encryption (FHE) is a relatively recent advancement in...
research
∙
04/29/2021
Hyperspherically Regularized Networks for BYOL Improves Feature Uniformity and Separability
Bootstrap Your Own Latent (BYOL) introduced an approach to self-supervis...
research
∙
04/14/2021
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector
Data sharing remains a major hindering factor when it comes to adopting ...
research
∙
03/26/2021
Contrastive Domain Adaptation
Recently, contrastive self-supervised learning has become a key componen...
research
∙
12/07/2020
An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth
Multi-step prediction is considered of major significance for time serie...
research
∙
06/15/2020
A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms
This paper proposes an enhanced natural language generation system combi...
research
∙
03/30/2020
Imputation of missing sub-hourly precipitation data in a large sensor network: a machine learning approach
Precipitation data from rain gauges is fundamental across many lines of ...
research
∙
01/28/2020
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging
Retail food packaging contains information which informs choice and can ...
research
∙
07/01/2019
Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments
Effective plant growth and yield prediction is an essential task for gre...
research
∙
06/04/2019
Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems
Deep Learning has attracted considerable attention across multiple appli...
research
∙
05/27/2019
Capsule Routing via Variational Bayes
Capsule Networks are a recently proposed alternative for constructing Ne...
research
∙
07/26/2018