239 citations · 425 across the 10 of their papers we have counts for
10 papers
MeerCRAB: MeerLICHT Classification of Real and Bogus Transients using Deep Learning
Zafiirah Hosenie, Steven Bloemen, Paul Groot +13
Astronomers require efficient automated detection and classification pipelines when conducting large-scale surveys of the (optical) sky for variable and transient sources. Such pip…
Imbalance Learning for Variable Star Classification
Zafiirah Hosenie, Robert Lyon, Benjamin Stappers +2
The accurate automated classification of variable stars into their respective sub-types is difficult. Machine learning based solutions often fall foul of the imbalanced learning pr…
Comparing Multi-class, Binary and Hierarchical Machine Learning Classification schemes for variable stars
Zafiirah Hosenie, Robert Lyon, Benjamin Stappers +1
Upcoming synoptic surveys are set to generate an unprecedented amount of data. This requires an automatic framework that can quickly and efficiently provide classification labels f…
A Processing Pipeline for High Volume Pulsar Data Streams
R. J. Lyon, B. W. Stappers, L. Levin +2
Pulsar data analysis pipelines have historically been comprised of bespoke software systems, supporting the off-line analysis of data. However modern data acquisition systems are m…
Single-pulse classifier for the LOFAR Tied-Array All-sky Survey
D. Michilli, J. W. T. Hessels, R. J. Lyon +7
Searches for millisecond-duration, dispersed single pulses have become a standard tool used during radio pulsar surveys in the last decade. They have enabled the discovery of two n…
Pulsar Searches with the SKA
L. Levin, W. Armour, C. Baffa +24
The Square Kilometre Array will be an amazing instrument for pulsar astronomy. While the full SKA will be sensitive enough to detect all pulsars in the Galaxy visible from Earth, a…
Fifty Years of Candidate Pulsar Selection - What next?
R. J. Lyon
For fifty years astronomers have been searching for pulsar signals in observational data. Throughout this time the process of choosing detections worthy of investigation, so called…
Fifty Years of Pulsar Candidate Selection: From simple filters to a new principled real-time classification approach
R. J. Lyon, B. W. Stappers, S. Cooper +2
Improving survey specifications are causing an exponential rise in pulsar candidate numbers and data volumes. We study the candidate filters used to mitigate these problems during…
Hellinger Distance Trees for Imbalanced Streams
R. J. Lyon, J. M. Brooke, J. D. Knowles +1
Classifiers trained on data sets possessing an imbalanced class distribution are known to exhibit poor generalisation performance. This is known as the imbalanced learning problem.…
A Study on Classification in Imbalanced and Partially-Labelled Data Streams
R. J. Lyon, J. M. Brooke, J. D. Knowles +1
The domain of radio astronomy is currently facing significant computational challenges, foremost amongst which are those posed by the development of the world's largest radio teles…