Georgios Leontidis | DeepAI

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∙ 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...

0 Miles Everett, et al. ∙

∙ 07/17/2023

Tabular Machine Learning Methods for Predicting Gas Turbine Emissions

Predicting emissions for gas turbines is critical for monitoring harmful...

0 Rebecca Potts, et al. ∙

∙ 06/28/2023

Semantic Positive Pairs for Enhancing Contrastive Instance Discrimination

Self-supervised learning algorithms based on instance discrimination eff...

0 Mohammad Alkhalefi, et al. ∙

∙ 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 ...

3 Alžběta Manová, et al. ∙

∙ 05/18/2023

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

Hyperbolic manifolds for visual representation learning allow for effect...

6 Aiden Durrant, et al. ∙

∙ 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...

2 Andy Li, et al. ∙

∙ 04/16/2023

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

Craters are amongst the most important morphological features in planeta...

1 Iraklis Giannakis, et al. ∙

∙ 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...

5 George Onoufriou, et al. ∙

∙ 11/12/2022

LLEDA – Lifelong Self-Supervised Domain Adaptation

Lifelong domain adaptation remains a challenging task in machine learnin...

9 Mamatha Thota, et al. ∙

∙ 06/06/2022

Learning with Capsules: A Survey

Capsule networks were proposed as an alternative approach to Convolution...

4 Fabio De Sousa Ribeiro, et al. ∙

∙ 10/26/2021

EDLaaS; Fully Homomorphic Encryption Over Neural Network Graphs

We present automatically parameterised Fully Homomorphic Encryption (FHE...

5 George Onoufriou, et al. ∙

∙ 07/26/2021

Fully Homomorphically Encrypted Deep Learning as a Service

Fully Homomorphic Encryption (FHE) is a relatively recent advancement in...

15 George Onoufriou, et al. ∙

∙ 04/29/2021

Hyperspherically Regularized Networks for BYOL Improves Feature Uniformity and Separability

Bootstrap Your Own Latent (BYOL) introduced an approach to self-supervis...

6 Aiden Durrant, et al. ∙

∙ 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 ...

18 Aiden Durrant, et al. ∙

∙ 03/26/2021

Contrastive Domain Adaptation

Recently, contrastive self-supervised learning has become a key componen...

3 Mamatha Thota, et al. ∙

∙ 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...

10 Bashar Alhnaity, et al. ∙

∙ 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...

0 Wei Wei, et al. ∙

∙ 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 ...

0 Benedict Delahaye Chivers, et al. ∙

∙ 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 ...

12 Mamatha Thota, et al. ∙

∙ 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...

2 Bashar Alhnaity, et al. ∙

∙ 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...

0 George Onoufriou, et al. ∙

∙ 05/27/2019

Capsule Routing via Variational Bayes

Capsule Networks are a recently proposed alternative for constructing Ne...

0 Fabio De Sousa Ribeiro, et al. ∙

∙ 07/26/2018

Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis

This paper proposes the first step towards a novel unified framework for...

0 Fabio De Sousa Ribeiro, et al. ∙

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