activity
20182022
most citedMuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset

10 citations · 12 across the 6 of their papers we have counts for

collaborators

12 papers

cs.LG2022

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…

cs.LG202210 cited

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…

eess.SP2021

OPERAnet: A Multimodal Activity Recognition Dataset Acquired from Radio Frequency and Vision-based Sensors

Mohammud J. Bocus, Wenda Li, Shelly Vishwakarma +8

This paper presents a comprehensive dataset intended to evaluate passive Human Activity Recognition (HAR) and localization techniques with measurements obtained from synchronized R…

cs.IR2021

Photos Are All You Need for Reciprocal Recommendation in Online Dating

James Neve, Ryan McConville

Recommender Systems are algorithms that predict a user's preference for an item. Reciprocal Recommenders are a subset of recommender systems, where the items in question are people…

cs.SI20211 cited

Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks

Hongbo Bo, Ryan McConville, Jun Hong +1

Data augmentation has been widely used in machine learning for natural language processing and computer vision tasks to improve model performance. However, little research has stud…

cs.NI20211 cited

Self-Supervised WiFi-Based Activity Recognition

Hok-Shing Lau, Ryan McConville, Mohammud J. Bocus +2

Traditional approaches to activity recognition involve the use of wearable sensors or cameras in order to recognise human activities. In this work, we extract fine-grained physical…