10 citations · 22 across the 14 of their papers we have counts for
5 papers · 1 filter
Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition
Armand K. Koupai, Mohammud J. Bocus, Raul Santos-Rodriguez +2
The pervasiveness of Wi-Fi signals provides significant opportunities for human sensing and activity recognition in fields such as healthcare. The sensors most commonly used for pa…
Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction
Hongbo Bo, Ryan McConville, Jun Hong +1
Online social network platforms have a problem with misinformation. One popular way of addressing this problem is via the use of machine learning based automated misinformation det…
Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers
Ferdian Jovan, Ryan McConville, Catherine Morgan +3
Parkinson's disease (PD) is a slowly progressive debilitating neurodegenerative disease which is prominently characterised by motor symptoms. Indoor localisation, including number…
Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes
Harry Emerson, Matthew Guy, Ryan McConville
The widespread adoption of effective hybrid closed loop systems would represent an important milestone of care for people living with type 1 diabetes (T1D). These devices typically…
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset
Dan Saattrup Nielsen, Ryan McConville
Misinformation is becoming increasingly prevalent on social media and in news articles. It has become so widespread that we require algorithmic assistance utilising machine learnin…