activity
20132026
most citedPatch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition

323 citations · 2k across the 63 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

cs.AI2023★ 9 cited

Solving Travelling Thief Problems using Coordination Based Methods

Majid Namazi, M. A. Hakim Newton, Conrad Sanderson +1

A travelling thief problem (TTP) is a proxy to real-life problems such as postal collection. TTP comprises an entanglement of a travelling salesman problem (TSP) and a knapsack pro…

cs.RO2023★ 9 cited

Reducing Object Detection Uncertainty from RGB and Thermal Data for UAV Outdoor Surveillance

Juan Sandino, Peter A. Caccetta, Conrad Sanderson +2

Recent advances in Unmanned Aerial Vehicles (UAVs) have resulted in their quick adoption for wide a range of civilian applications, including precision agriculture, biosecurity, di…

cs.MS2023★ 1 cited

Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing

Ryan R. Curtin, Marcus Edel, Conrad Sanderson

This report provides an introduction to the Bandicoot C++ library for linear algebra and scientific computing on GPUs, overviewing its user interface and performance characteristic…

cs.CY2023★ 133 cited

Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021

Stefan Hajkowicz, Conrad Sanderson, Sarvnaz Karimi +2

Analysing historical patterns of artificial intelligence (AI) adoption can inform decisions about AI capability uplift, but research to date has provided a limited view of AI adopt…

cs.LG2023★ 1 cited

A Neural Emulator for Uncertainty Estimation of Fire Propagation

Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski +2

Wildfire propagation is a highly stochastic process where small changes in environmental conditions (such as wind speed and direction) can lead to large changes in observed behavio…

cs.CR2023

Detection of Anomalous Network Nodes via Hierarchical Prediction and Extreme Value Theory

Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai +2

Continuously evolving cyber-attacks against industrial networks reduce the effectiveness of signature-based detection methods. Once malware has infiltrated a network (for example,…