Ryan McConville

Orcid: 0000-0002-7708-3110

According to our database1, Ryan McConville authored at least 54 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Uncertainty in GNN Learning Evaluations: A Comparison between Measures for Quantifying Randomness in GNN Community Detection.
Entropy, January, 2024

Unsupervised Optimisation of GNNs for Node Clustering.
CoRR, 2024

2023
Offline reinforcement learning for safer blood glucose control in people with type 1 diabetes.
J. Biomed. Informatics, June, 2023

A Framework for Exploring Federated Community Detection.
CoRR, 2023

The Safety Challenges of Deep Learning in Real-World Type 1 Diabetes Management.
CoRR, 2023

Privacy in Multimodal Federated Human Activity Recognition.
CoRR, 2023

Search for the UGLE Truth: An Investigation into Unsupervised GNN Learning Environments.
CoRR, 2023

Characterizing Discourse and Engagement Across Topics of Misinformation on Twitter.
IEEE Access, 2023

What Will Make Misinformation Spread: An XAI Perspective.
Proceedings of the Explainable Artificial Intelligence, 2023

Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

A Comparative Analysis of Information Cascade Prediction Using Dynamic Heterogeneous and Homogeneous Graphs.
Proceedings of the Complex Networks & Their Applications XII, 2023

Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection.
Proceedings of the Complex Networks & Their Applications XII, 2023

2022
Self-supervised multimodal fusion transformer for passive activity recognition.
IET Wirel. Sens. Syst., October, 2022

Outdoor Localization Using BLE RSSI and Accessible Pedestrian Signals for the Visually Impaired at Intersections.
Sensors, 2022

Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection.
CoRR, 2022

Addressing contingency in algorithmic misinformation detection: Toward a responsible innovation agenda.
CoRR, 2022

Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers.
CoRR, 2022

MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Radio signal strength indication augmentation for one-shot learning in indoor localisation.
Proceedings of the SmartWear@MobiCom 2022: Proceedings of the 1st ACM Workshop on Smart Wearable Systems and Applications, 2022

Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

Explainable AI for Non-Experts: Energy Tariff Forecasting.
Proceedings of the 27th International Conference on Automation and Computing, 2022

Temporal Self-Supervised Learning for RSSI-based Indoor Localization.
Proceedings of the IEEE International Conference on Communications, 2022

Self-Supervised WiFi-Based Activity Recognition.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

IoT Key Exchange Performance Analysis.
Proceedings of the 2022 International Conference on Embedded Wireless Systems and Networks, 2022

Exploring Perceptions of Cross-Sectoral Data Sharing with People with Parkinson's.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Multimodal Classification of Parkinson's Disease in Home Environments with Resiliency to Missing Modalities.
Sensors, 2021

Vesta: A digital health analytics platform for a smart home in a box.
Future Gener. Comput. Syst., 2021

Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills.
CoRR, 2021

Photos Are All You Need for Reciprocal Recommendation in Online Dating.
CoRR, 2021

Container Escape Detection for Edge Devices.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Energy-efficient activity recognition framework using wearable accelerometers.
J. Netw. Comput. Appl., 2020

Social Network Influence Ranking via Embedding Network Interactions for User Recommendation.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

ImRec: Learning Reciprocal Preferences Using Images.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance.
Proceedings of the 2020 Northern Lights Deep Learning Workshop, 2020

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Translation Resilient Opportunistic WiFi Sensing.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance.
Proceedings of the IEEE International Conference on Image Processing, 2020

Low Cost Localisation in Residential Environments using High Resolution CIR Information.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback.
CoRR, 2019

2018
A Comprehensive Study of Activity Recognition Using Accelerometers.
Informatics, 2018

Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks.
CoRR, 2018

Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable.
CoRR, 2018

Understanding the quality of calibrations for indoor localisation.
Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Proper Losses for Learning with Example-Dependent Costs.
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

On-Board Feature Extraction from Acceleration Data for Activity Recognition.
Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks, 2018

Person Identification and Discovery With Wrist Worn Accelerometer Data.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
Clustering algorithms for large scale graph data.
PhD thesis, 2017

SPHERE in a Box: Practical and Scalable EurValve Activity Monitoring Smart Home Kit.
Proceedings of the 42nd IEEE Conference on Local Computer Networks Workshops, 2017

Vertex Deduplication Based on String Similarity and Community Membership.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
Accelerating large scale centroid-based clustering with locality sensitive hashing.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
Vertex Clustering of Augmented Graph Streams.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015


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