118 citations · 121 across the 13 of their papers we have counts for
6 papers · 1 filter
Group-Equivariant Poincaré Convolutional Networks
Aiden Durrant, Rahul Baburajan, Georgios Leontidis
While recent methods like that of the Poincaré ResNet have demonstrated the ability to learning visual representations directly in hyperbolic space, their optimisation remains a ch…
CrevasseSeg: A Label-Efficient UAV Crevasse Segmentation Framework
Steven Wallace, William D. Harcourt, Richard Hann +3
Crevasse mapping from uncrewed aerial vehicle (UAV) imagery matters for glaciological research and for field safety in glaciated terrain. Yet, pixel-level annotation of glacier sur…
Trust-Aware Predictive Emissions Monitoring for Gas Turbine Fleets with Limited Labelled Data
Rebecca Potts, Aiden Durrant, Rick Hackney +1
Machine learning-based predictive emissions monitoring systems offer a practical alternative to direct emissions measurement, but their deployment across gas turbine fleets is chal…
Agent-Based Post-Hoc Correction of Agricultural Yield Forecasts
Matthew Beddows, Aiden Durrant, Georgios Leontidis
Accurate crop yield forecasting in commercial soft fruit production is constrained by the data available in typical commercial farm records, which lack the sensor networks, satelli…
Hyperspherically Regularized Networks for Self-Supervision
Aiden Durrant, Georgios Leontidis
Bootstrap Your Own Latent (BYOL) introduced an approach to self-supervised learning avoiding the contrastive paradigm and subsequently removing the computational burden of negative…
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector
Aiden Durrant, Milan Markovic, David Matthews +3
Data sharing remains a major hindering factor when it comes to adopting emerging AI technologies in general, but particularly in the agri-food sector. Protectiveness of data is nat…