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08/03/2023
Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting
Parkinson's disease (PD) is a slowly progressive, debilitating neurodege...
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05/20/2023
Privacy in Multimodal Federated Human Activity Recognition
Human Activity Recognition (HAR) training data is often privacy-sensitiv...
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05/10/2023
Search for the UGLE Truth: An Investigation into Unsupervised GNN Learning Environments
Graph Neural Networks (GNNs) are a pertinent tool for any machine learni...
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12/16/2022
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection
Security research has concentrated on converting operating system audit ...
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10/05/2022
Addressing contingency in algorithmic misinformation detection: Toward a responsible innovation agenda
Machine learning (ML) enabled classification models are becoming increas...
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08/15/2022
Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition
The pervasiveness of Wi-Fi signals provides significant opportunities fo...
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05/12/2022
Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers
Parkinson's disease (PD) is a slowly progressive debilitating neurodegen...
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04/07/2022
Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes
Hybrid closed loop systems represent the future of care for people with ...
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02/23/2022
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset
Misinformation is becoming increasingly prevalent on social media and in...
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11/16/2021
Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills
A promising approach to improve the robustness and exploration in Reinfo...
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08/26/2021
Photos Are All You Need for Reciprocal Recommendation in Online Dating
Recommender Systems are algorithms that predict a user's preference for ...
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04/19/2021
Self-Supervised WiFi-Based Activity Recognition
Traditional approaches to activity recognition involve the use of wearab...
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10/28/2019
PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance
Traditionally, the vision community has devised algorithms to estimate t...
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08/16/2019
Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback
Recent advances in both machine learning and Internet-of-Things have att...
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08/16/2019
N2D:(Not Too) Deep clustering via clustering the local manifold of an autoencoded embedding
Deep clustering has increasingly been demonstrating superiority over con...
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08/09/2019
Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance
In recent years there has been a growing interest in image generation th...
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06/25/2018