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A study of distances and the Baryon Acoustic Oscillations in curved spacetimes.
Published 2014Get full text
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New applications of statistics in astronomy and cosmology
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Machine learning in astronomy
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A study of potential calibrators using the KAT-7 radio telescope
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Challenges in the hunt for dark energy dynamics
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Genetic programming applied to RFI mitigation in radio astronomy
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Deep learning for supernovae detection
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Evolutionary algorithms for optimising reinforcement learning policy approximation
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Reinforcement learning for telescope optimisation
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Investigating the relationship between mobile network performance metrics and customer satisfaction
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The MeerKAT Radio Frequency Interference Environment
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Radio Frequency Interference: Simulations for Radio Interferometry Arrays
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Optimising the Optimiser: Meta NeuroEvolution for Artificial Intelligence Problems
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Aspects of Bayesian inference, classification and anomaly detection
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Deep adaptive anomaly detection using an active learning framework
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Heuristic optimisation and parameter estimation methods for modern cosmological surveys
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Probing primordial non-Gaussianity using large scale structure
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Cosmic acceleration and the coincidence problem
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Low-resource neural machine translation for Southern African languages
Published 2021Get full text
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