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20182024
most citedConservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology

19 citations · 48 across the 14 of their papers we have counts for

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Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 19 cited

Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology

C. Chalmers, P. Fergus, Serge Wich +1

Many different species are adversely affected by poaching. In response to this escalating crisis, efforts to stop poaching using hidden cameras, drones and DNA tracking have been i…

q-bio.GN2019

SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity

Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers +4

One of the most important challenges in the analysis of high-throughput genetic data is the development of efficient computational methods to identify statistically significant Sin…

cs.LG2019

Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes

Paul Fergus, Carl Chalmers, Casimiro Curbelo Montanez +3

Gynaecologists and obstetricians visually interpret cardiotocography (CTG) traces using the International Federation of Gynaecology and Obstetrics (FIGO) guidelines to assess the w…

cs.CY2019★ 11 cited

Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation

C. Chalmers, P. Fergus, C. Aday Curbelo Montanez +3

The emergence of an ageing population is a significant public health concern. This has led to an increase in the number of people living with progressive neurodegenerative disorder…