Ryan McConville

75 papers A* 4A 3B 11Misc 2Journal 38Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Federated Mental Wellbeing Assessment Using Smartphone Sensors Under Unreliable Participation. IEEE Access Gavryel Martis, Ryan McConville
2025	A	`conf`	Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback. ECAI Harry Emerson, Sam Gordon James, Matthew Guy, Ryan McConville
2025	J	`jnl`	Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback. CoRR Harry Emerson, Sam Gordon James, Matthew Guy, Ryan McConville
2025	Misc	`conf`	Lightweight Decentralized Neural Network-Based Strategies for Multi-Robot Patrolling. SAC James C. Ward, Ryan McConville, Edmund R. Hunt
2025	B	`conf`	Multi-agent Deep Reinforcement Learning for Fake News Detection. IJCNN Yiwen Wu, Kevin McAreavey, Hongbo Bo, Weiru Liu, Ryan McConville
2024	B	`conf`	Leading the Mastodon Herd: Analysing the Traits of Influential Leaders on a Decentralised Social Media Platform. IEEE Big Data Luke Gassmann, Ryan McConville, Matthew Edwards
2024	J	`jnl`	Lightweight Decentralized Neural Network-Based Strategies for Multi-Robot Patrolling. CoRR James C. Ward, Ryan McConville, Edmund R. Hunt
2024	J	`jnl`	Optimising TinyML with Quantization and Distillation of Transformer and Mamba Models for Indoor Localisation on Edge Devices. CoRR Thanaphon Suwannaphong, Ferdian Jovan, Ian Craddock, Ryan McConville
2024	J	`jnl`	Transfer Learning of RSSI to Improve Indoor Localisation Performance. CoRR Thanaphon Suwannaphong, Ryan McConville, Ian Craddock
2024	J	`jnl`	Uncertainty in GNN Learning Evaluations: A Comparison between Measures for Quantifying Randomness in GNN Community Detection. Entropy William Leeney, Ryan McConville
2024	J	`jnl`	Unsupervised Optimisation of GNNs for Node Clustering. CoRR William Leeney, Ryan McConville
2023	—	`conf`	A Comparative Analysis of Information Cascade Prediction Using Dynamic Heterogeneous and Homogeneous Graphs. COMPLEX NETWORKS (4) Yiwen Wu, Kevin McAreavey, Weiru Liu, Ryan McConville
2023	J	`jnl`	A Framework for Exploring Federated Community Detection. CoRR William Leeney, Ryan McConville
2023	—	`conf`	Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda. FAccT Andrés Domínguez Hernández, Richard Owen, Dan Saattrup Nielsen, Ryan McConville
2023	J	`jnl`	Characterizing Discourse and Engagement Across Topics of Misinformation on Twitter. IEEE Access Dominika Nadia Wojtczak, Claudia Peersman, Luisa Zuccolo, Ryan McConville
2023	A*	`conf`	Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting. KDD Ferdian Jovan, Catherine Morgan, Ryan McConville, Emma L. Tonkin, Ian Craddock, Alan L. Whone
2023	J	`jnl`	Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting. CoRR Ferdian Jovan, Catherine Morgan, Ryan McConville, Emma L. Tonkin, Ian Craddock, Alan L. Whone
2023	J	`jnl`	Offline reinforcement learning for safer blood glucose control in people with type 1 diabetes. J. Biomed. Informatics Harry Emerson, Matthew Guy, Ryan McConville
2023	—	`conf`	Predicting Interpersonal Influence from Conversational Features. BESC Luke Gassmann, Ryan McConville, Matthew Edwards
2023	J	`jnl`	Privacy in Multimodal Federated Human Activity Recognition. CoRR Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
2023	J	`jnl`	Search for the UGLE Truth: An Investigation into Unsupervised GNN Learning Environments. CoRR Will Leeney, Ryan McConville
2023	J	`jnl`	The Safety Challenges of Deep Learning in Real-World Type 1 Diabetes Management. CoRR Harry Emerson, Ryan McConville, Matthew Guy
2023	J	`jnl`	Uncertainty in GNN Learning Evaluations: A Comparison Between Measures for Quantifying Randomness in GNN Community Detection. CoRR William Leeney, Ryan McConville
2023	—	`conf`	Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection. COMPLEX NETWORKS (1) William Leeney, Ryan McConville
2023	—	`conf`	What Will Make Misinformation Spread: An XAI Perspective. xAI (2) Hongbo Bo, Yiwen Wu, Zinuo You, Ryan McConville, Jun Hong, Weiru Liu
2022	J	`jnl`	Addressing contingency in algorithmic misinformation detection: Toward a responsible innovation agenda. CoRR Andrés Domínguez Hernández, Richard Owen, Dan Saattrup Nielsen, Ryan McConville
2022	B	`conf`	Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction. IJCNN Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
2022	J	`jnl`	Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction. CoRR Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
2022	—	`conf`	Explainable AI for Non-Experts: Energy Tariff Forecasting. ICAC Hongnan Ma, Kevin McAreavey, Ryan McConville, Weiru Liu
2022	A*	`conf`	Exploring Perceptions of Cross-Sectoral Data Sharing with People with Parkinson's. CHI Roisin McNaney, Catherine Morgan, Pranav Kulkarni, Julio Vega, Farnoosh Heidarivincheh, Ryan McConville, Alan L. Whone, Mickey Kim, Reuben Kirkham, Ian Craddock
2022	B	`conf`	IoT Key Exchange Performance Analysis. EWSN Francesco Raimondo, Ufuk Erol, Samuel Gunner, James Pope, Robert Zakrzewski, Mike Faulks, Ryan McConville, Thomas Pasquier, Robert J. Piechocki, George Oikonomou
2022	A*	`conf`	MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset. SIGIR Dan Saattrup Nielsen, Ryan McConville
2022	J	`jnl`	MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset. CoRR Dan Saattrup Nielsen, Ryan McConville
2022	J	`jnl`	Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers. CoRR Ferdian Jovan, Ryan McConville, Catherine Morgan, Emma Tonkin, Alan L. Whone, Ian Craddock
2022	J	`jnl`	Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes. CoRR Harry Emerson, Matthew Guy, Ryan McConville
2022	J	`jnl`	Outdoor Localization Using BLE RSSI and Accessible Pedestrian Signals for the Visually Impaired at Intersections. Sensors Ki-Young Shin, Ryan McConville, Oussama Metatla, Min Hye Chang, Chiyoung Han, Junhaeng Lee, Anne Roudaut
2022	—	`conf`	Radio signal strength indication augmentation for one-shot learning in indoor localisation. SmartWear@MobiCom Thanaphon Suwannaphong, Ryan McConville, Ian Craddock
2022	J	`jnl`	Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection. CoRR James Pope, Jinyuan Liang, Vijay Kumar, Francesco Raimondo, Xinyi Sun, Ryan McConville, Thomas Pasquier, Robert J. Piechocki, George Oikonomou, Bo Luo, Dan Howarth, Ioannis Mavromatis, Adrián Sánchez-Mompó, Pietro Edoardo Carnelli, Theodoros Spyridopoulos, Aftab Khan
2022	J	`jnl`	Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition. CoRR Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
2022	—	`conf`	Self-Supervised WiFi-Based Activity Recognition. GLOBECOM (Workshops) Mohammud Junaid Bocus, Hok-Shing Lau, Ryan McConville, Robert J. Piechocki, Raúl Santos-Rodríguez
2022	J	`jnl`	Self-supervised multimodal fusion transformer for passive activity recognition. IET Wirel. Sens. Syst. Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
2022	—	`conf`	Temporal Self-Supervised Learning for RSSI-based Indoor Localization. ICC Jonas Paulavicius, Seifallah Jardak, Ryan McConville, Robert J. Piechocki, Raúl Santos-Rodríguez
2021	Misc	`conf`	Container Escape Detection for Edge Devices. SenSys James Pope, Francesco Raimondo, Vijay Kumar, Ryan McConville, Robert J. Piechocki, George Oikonomou, Thomas Pasquier, Bo Luo, Dan Howarth, Ioannis Mavromatis, Pietro Edoardo Carnelli, Adrián Sánchez-Mompó, Theodoros Spyridopoulos, Aftab Khan
2021	—	`conf`	Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms. PerCom Workshops Catherine Morgan, Farnoosh Heidarivincheh, Ian Craddock, Ryan McConville, Miquel Perelló-Nieto, Emma L. Tonkin, Alessandro Masullo, Antonis Vafeas, Mickey Kim, Roisin McNaney, Gregory J. L. Tourte, Alan L. Whone
2021	J	`jnl`	Multimodal Classification of Parkinson's Disease in Home Environments with Resiliency to Missing Modalities. Sensors Farnoosh Heidarivincheh, Ryan McConville, Catherine Morgan, Roisin McNaney, Alessandro Masullo, Majid Mirmehdi, Alan L. Whone, Ian Craddock
2021	J	`jnl`	Photos Are All You Need for Reciprocal Recommendation in Online Dating. CoRR James Neve, Ryan McConville
2021	J	`jnl`	Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills. CoRR Taku Yamagata, Ryan McConville, Raúl Santos-Rodríguez
2021	J	`jnl`	Self-Supervised WiFi-Based Activity Recognition. CoRR Hok-Shing Lau, Ryan McConville, Mohammud Junaid Bocus, Robert J. Piechocki, Raúl Santos-Rodríguez
2021	B	`conf`	Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks. IJCNN Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
2021	J	`jnl`	Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks. CoRR Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
2021	J	`jnl`	Vesta: A digital health analytics platform for a smart home in a box. Future Gener. Comput. Syst. Ryan McConville, Gareth Archer, Ian Craddock, Michal Kozlowski, Robert J. Piechocki, James Pope, Raúl Santos-Rodríguez
2020	J	`jnl`	Energy-efficient activity recognition framework using wearable accelerometers. J. Netw. Comput. Appl. Atis Elsts, Niall Twomey, Ryan McConville, Ian Craddock
2020	—	`conf`	Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance. NLDL Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
2020	A	`conf`	ImRec: Learning Reciprocal Preferences Using Images. RecSys James Neve, Ryan McConville
2020	B	`conf`	Low Cost Localisation in Residential Environments using High Resolution CIR Information. GLOBECOM Mohammud Junaid Bocus, Jonas Paulavicius, Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki
2020	B	`conf`	N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. ICPR Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki, Ian Craddock
2020	B	`conf`	Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance. ICIP Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
2020	—	`conf`	Social Network Influence Ranking via Embedding Network Interactions for User Recommendation. WWW (Companion Volume) Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
2020	B	`conf`	Translation Resilient Opportunistic WiFi Sensing. ICPR Mohammud Junaid Bocus, Wenda Li, Jonas Paulavicius, Ryan McConville, Raúl Santos-Rodríguez, Kevin Chetty, Robert J. Piechocki
2019	J	`jnl`	Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance. CoRR Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
2019	J	`jnl`	N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. CoRR Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki, Ian Craddock
2019	J	`jnl`	Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback. CoRR Taku Yamagata, Raúl Santos-Rodríguez, Ryan McConville, Atis Elsts
2019	J	`jnl`	PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance. CoRR Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
2018	J	`jnl`	A Comprehensive Study of Activity Recognition Using Accelerometers. Informatics Niall Twomey, Tom Diethe, Xenofon Fafoutis, Atis Elsts, Ryan McConville, Peter A. Flach, Ian Craddock
2018	J	`jnl`	Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks. CoRR Michal Kozlowski, Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki
2018	B	`conf`	On-Board Feature Extraction from Acceleration Data for Activity Recognition. EWSN Atis Elsts, Ryan McConville, Xenofon Fafoutis, Niall Twomey, Robert J. Piechocki, Raúl Santos-Rodriguez, Ian Craddock
2018	J	`jnl`	Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable. CoRR Ryan McConville, Gareth Archer, Ian Craddock, Herman J. ter Horst, Robert J. Piechocki, James Pope, Raúl Santos-Rodriguez
2018	B	`conf`	Person Identification and Discovery With Wrist Worn Accelerometer Data. ESANN Ryan McConville, Raúl Santos-Rodríguez, Niall Twomey
2018	—	`conf`	Proper Losses for Learning with Example-Dependent Costs. LIDTA@ECML/PKDD Alexander Hepburn, Ryan McConville, Raúl Santos-Rodríguez, Jesús Cid-Sueiro, Dario García-García
2018	—	`conf`	Understanding the quality of calibrations for indoor localisation. WF-IoT Ryan McConville, Dallan Byrne, Ian Craddock, Robert J. Piechocki, James Pope, Raúl Santos-Rodríguez
2017	—	`—`	Clustering algorithms for large scale graph data. Ryan McConville
2017	—	`conf`	SPHERE in a Box: Practical and Scalable EurValve Activity Monitoring Smart Home Kit. LCN Workshops James Pope, Ryan McConville, Michal Kozlowski, Xenofon Fafoutis, Raúl Santos-Rodríguez, Robert J. Piechocki, Ian Craddock
2017	—	`conf`	Vertex Deduplication Based on String Similarity and Community Membership. COMPLEX NETWORKS Ryan McConville, Weiru Liu, Jun Hong
2016	A*	`conf`	Accelerating large scale centroid-based clustering with locality sensitive hashing. ICDE Ryan McConville, Xin Cao, Weiru Liu, Paul Miller
2015	A	`conf`	Vertex Clustering of Augmented Graph Streams. SDM Ryan McConville, Weiru Liu, Paul Miller