16 citations · 80 across the 20 of their papers we have counts for
5 papers · 1 filter
Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills
Taku Yamagata, Ryan McConville, Raul Santos-Rodriguez
A promising approach to improve the robustness and exploration in Reinforcement Learning is collecting human feedback and that way incorporating prior knowledge of the target envir…
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…
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…
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…
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…