855 citations · 1.2k across the 90 of their papers we have counts for
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Calculating the matrix profile from noisy data
Colin Hehir, Alan F. Smeaton
The matrix profile (MP) is a data structure computed from a time series which encodes the data required to locate motifs and discords, corresponding to recurring patterns and outli…
Unifying Synergies between Self-supervised Learning and Dynamic Computation
Tarun Krishna, Ayush K Rai, Alexandru Drimbarean +5
Computationally expensive training strategies make self-supervised learning (SSL) impractical for resource constrained industrial settings. Techniques like knowledge distillation (…
Managing Large Dataset Gaps in Urban Air Quality Prediction: DCU-Insight-AQ at MediaEval 2022
Dinh Viet Cuong, Phuc H. Le-Khac, Adam Stapleton +3
Calculating an Air Quality Index (AQI) typically uses data streams from air quality sensors deployed at fixed locations and the calculation is a real time process. If one or a numb…
An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision
Xiao Liu, Alan F. Smeaton, Alessandra Mileo
Recent developments in in-situ monitoring and process control in Additive Manufacturing (AM), also known as 3D-printing, allows the collection of large amounts of emission data dur…
Contrastive Representation Learning: A Framework and Review
Phuc H. Le-Khac, Graham Healy, Alan F. Smeaton
Contrastive Learning has recently received interest due to its success in self-supervised representation learning in the computer vision domain. However, the origins of Contrastive…