Ryan McConville

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 62

Top Venues

Queen's University Belfast, UK (PHD)

Education History

Queen's University Belfast, UK

PHD

Publications

William Leeney, Ryan McConville
Uncertainty in GNN Learning Evaluations: A Comparison between Measures for Quantifying Randomness in GNN Community Detection. Entropy 26 (1) (2024)
William Leeney, Ryan McConville
An Investigation into Using Unsupervised Metrics to Optimise GNNs for Node Clustering. CoRR (2024)
Hongbo Bo, Yiwen Wu, Zinuo You, Ryan McConville, Jun Hong, Weiru Liu
What Will Make Misinformation Spread: An XAI Perspective. xAI (2) (2023)
Harry Emerson, Matthew Guy, Ryan McConville
Offline reinforcement learning for safer blood glucose control in people with type 1 diabetes. J. Biomed. Informatics 142 (2023)
Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
Privacy in Multimodal Federated Human Activity Recognition. CoRR (2023)
Dominika Nadia Wojtczak, Claudia Peersman, Luisa Zuccolo, Ryan McConville
Characterizing Discourse and Engagement Across Topics of Misinformation on Twitter. IEEE Access 11 (2023)
Yiwen Wu, Kevin McAreavey, Weiru Liu, Ryan McConville
A Comparative Analysis of Information Cascade Prediction Using Dynamic Heterogeneous and Homogeneous Graphs. COMPLEX NETWORKS (4) (2023)
Ferdian Jovan, Catherine Morgan, Ryan McConville, Emma L. Tonkin, Ian Craddock, Alan L. Whone
Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting. KDD (2023)
Andrés Domínguez Hernández, Richard Owen, Dan Saattrup Nielsen, Ryan McConville
Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda. FAccT (2023)
Will Leeney, Ryan McConville
Search for the UGLE Truth: An Investigation into Unsupervised GNN Learning Environments. CoRR (2023)
William Leeney, Ryan McConville
Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection. COMPLEX NETWORKS (1) (2023)
William Leeney, Ryan McConville
Uncertainty in GNN Learning Evaluations: A Comparison Between Measures for Quantifying Randomness in GNN Community Detection. CoRR (2023)
William Leeney, Ryan McConville
A Framework for Exploring Federated Community Detection. CoRR (2023)
Ferdian Jovan, Catherine Morgan, Ryan McConville, Emma L. Tonkin, Ian Craddock, Alan L. Whone
Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting. CoRR (2023)
Harry Emerson, Ryan McConville, Matthew Guy
The Safety Challenges of Deep Learning in Real-World Type 1 Diabetes Management. CoRR (2023)
Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
Self-supervised multimodal fusion transformer for passive activity recognition. IET Wirel. Sens. Syst. 12 (5-6) (2022)
Hongnan Ma, Kevin McAreavey, Ryan McConville, Weiru Liu
Explainable AI for Non-Experts: Energy Tariff Forecasting. ICAC (2022)
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction. IJCNN (2022)
Dan Saattrup Nielsen, Ryan McConville
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset. CoRR (2022)
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 Carnelli, Theodoros Spyridopoulos, Aftab Khan
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection. CoRR (2022)
Jonas Paulavicius, Seifallah Jardak, Ryan McConville, Robert J. Piechocki, Raúl Santos-Rodríguez
Temporal Self-Supervised Learning for RSSI-based Indoor Localization. ICC (2022)
Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition. CoRR (2022)
Ki-Young Shin, Ryan McConville, Oussama Metatla, Min Hye Chang, Chiyoung Han, Junhaeng Lee, Anne Roudaut
Outdoor Localization Using BLE RSSI and Accessible Pedestrian Signals for the Visually Impaired at Intersections. Sensors 22 (1) (2022)
Ferdian Jovan, Ryan McConville, Catherine Morgan, Emma Tonkin, Alan L. Whone, Ian Craddock
Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers. CoRR (2022)
Harry Emerson, Matt Guy, Ryan McConville
Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes. CoRR (2022)
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction. CoRR (2022)
Mohammud Junaid Bocus, Hok-Shing Lau, Ryan McConville, Robert J. Piechocki, Raúl Santos-Rodríguez
Self-Supervised WiFi-Based Activity Recognition. GLOBECOM (Workshops) (2022)
Thanaphon Suwannaphong, Ryan McConville, Ian Craddock
Radio signal strength indication augmentation for one-shot learning in indoor localisation. SmartWear@MobiCom (2022)
Dan Saattrup Nielsen, Ryan McConville
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset. SIGIR (2022)
Roisin McNaney, Catherine Morgan, Pranav Kulkarni, Julio Vega, Farnoosh Heidarivincheh, Ryan McConville, Alan L. Whone, Mickey Kim, Reuben Kirkham, Ian Craddock
Exploring Perceptions of Cross-Sectoral Data Sharing with People with Parkinson's. CHI (2022)
Andrés Domínguez Hernández, Richard Owen, Dan Saattrup Nielsen, Ryan McConville
Addressing contingency in algorithmic misinformation detection: Toward a responsible innovation agenda. CoRR (2022)
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks. CoRR (2021)
Ryan McConville, Gareth Archer, Ian Craddock, Michal Kozlowski, Robert J. Piechocki, James Pope, Raúl Santos-Rodríguez
Vesta: A digital health analytics platform for a smart home in a box. Future Gener. Comput. Syst. 114 (2021)
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks. IJCNN (2021)
James Neve, Ryan McConville
Photos Are All You Need for Reciprocal Recommendation in Online Dating. CoRR (2021)
Taku Yamagata, Ryan McConville, Raúl Santos-Rodríguez
Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills. CoRR (2021)
Hok-Shing Lau, Ryan McConville, Mohammud Junaid Bocus, Robert J. Piechocki, Raúl Santos-Rodríguez
Self-Supervised WiFi-Based Activity Recognition. CoRR (2021)
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
Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms. PerCom Workshops (2021)
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
Container Escape Detection for Edge Devices. SenSys (2021)
Farnoosh Heidarivincheh, Ryan McConville, Catherine Morgan, Roisin McNaney, Alessandro Masullo, Majid Mirmehdi, Alan L. Whone, Ian Craddock
Multimodal Classification of Parkinson's Disease in Home Environments with Resiliency to Missing Modalities. Sensors 21 (12) (2021)
Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance. ICIP (2020)
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
Social Network Influence Ranking via Embedding Network Interactions for User Recommendation. WWW (Companion Volume) (2020)
Atis Elsts, Niall Twomey, Ryan McConville, Ian Craddock
Energy-efficient activity recognition framework using wearable accelerometers. J. Netw. Comput. Appl. 168 (2020)
James Neve, Ryan McConville
ImRec: Learning Reciprocal Preferences Using Images. RecSys (2020)
Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki, Ian Craddock
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. ICPR (2020)
Mohammud Junaid Bocus, Wenda Li, Jonas Paulavicius, Ryan McConville, Raúl Santos-Rodríguez, Kevin Chetty, Robert J. Piechocki
Translation Resilient Opportunistic WiFi Sensing. ICPR (2020)
Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance. NLDL (2020)
Mohammud Junaid Bocus, Jonas Paulavicius, Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki
Low Cost Localisation in Residential Environments using High Resolution CIR Information. GLOBECOM (2020)
Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance. CoRR (2019)
Taku Yamagata, Raúl Santos-Rodríguez, Ryan McConville, Atis Elsts
Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback. CoRR (2019)
Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki, Ian Craddock
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. CoRR (2019)
Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance. CoRR (2019)
Michal Kozlowski, Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki
Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks. CoRR (2018)
Ryan McConville, Raúl Santos-Rodríguez, Niall Twomey
Person Identification and Discovery With Wrist Worn Accelerometer Data. ESANN (2018)
Alexander Hepburn, Ryan McConville, Raúl Santos-Rodríguez, Jesús Cid-Sueiro, Dario García-García
Proper Losses for Learning with Example-Dependent Costs. LIDTA@ECML/PKDD (2018)
Atis Elsts, Ryan McConville, Xenofon Fafoutis, Niall Twomey, Robert J. Piechocki, Raúl Santos-Rodriguez, Ian Craddock
On-Board Feature Extraction from Acceleration Data for Activity Recognition. EWSN (2018)
Ryan McConville, Gareth Archer, Ian Craddock, Herman J. ter Horst, Robert J. Piechocki, James Pope, Raúl Santos-Rodriguez
Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable. CoRR (2018)
Niall Twomey, Tom Diethe, Xenofon Fafoutis, Atis Elsts, Ryan McConville, Peter A. Flach, Ian Craddock
A Comprehensive Study of Activity Recognition Using Accelerometers. Informatics 5 (2) (2018)
Ryan McConville, Dallan Byrne, Ian Craddock, Robert J. Piechocki, James Pope, Raúl Santos-Rodríguez
Understanding the quality of calibrations for indoor localisation. WF-IoT (2018)
Ryan McConville, Weiru Liu, Jun Hong
Vertex Deduplication Based on String Similarity and Community Membership. COMPLEX NETWORKS (2017)
James Pope, Ryan McConville, Michal Kozlowski, Xenofon Fafoutis, Raúl Santos-Rodríguez, Robert J. Piechocki, Ian Craddock
SPHERE in a Box: Practical and Scalable EurValve Activity Monitoring Smart Home Kit. LCN Workshops (2017)
Ryan McConville, Xin Cao, Weiru Liu, Paul Miller
Accelerating large scale centroid-based clustering with locality sensitive hashing. ICDE (2016)
Ryan McConville, Weiru Liu, Paul Miller
Vertex Clustering of Augmented Graph Streams. SDM (2015)

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Publication Activity (10 Years)

Top Topics

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Ryan McConville