Niall Twomey
Niall Twomey
Research Fellow, University of Bristol, United Kingdom
Verified email at - Homepage
Cited by
Cited by
Bridging e-health and the internet of things: The sphere project
N Zhu, T Diethe, M Camplani, L Tao, A Burrows, N Twomey, D Kaleshi, ...
IEEE Intelligent Systems 30 (4), 39-46, 2015
A Comprehensive Study of Activity Recognition Using Accelerometers
N Twomey, T Diethe, X Fafoutis, A Elsts, R McConville, P Flach, ...
Informatics 5, 2018
The SPHERE challenge: Activity recognition with multimodal sensor data
N Twomey, T Diethe, M Kull, H Song, M Camplani, S Hannuna, X Fafoutis, ...
arXiv preprint arXiv:1603.00797, 2016
SPHERE: A sensor platform for healthcare in a residential environment
P Woznowski, A Burrows, T Diethe, X Fafoutis, J Hall, S Hannuna, ...
Designing, developing, and facilitating smart cities, 315-333, 2017
Comparison of accelerometer-based energy expenditure estimation algorithms
N Twomey, S Faul, WP Marnane
2010 4th International Conference on Pervasive Computing Technologies for …, 2010
Unsupervised learning of sensor topologies for improving activity recognition in smart environments
N Twomey, T Diethe, I Craddock, P Flach
Neurocomputing 234, 93-106, 2017
Active transfer learning for activity recognition
T Diethe, N Twomey, P Flach
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2016
On-Board Feature Extraction from Acceleration Data for Activity Recognition
A Elsts, R McConville, X Fafoutis, N Twomey, R Piechocki, ...
Proceedings of the International Conference on Embedded Wireless Systems and …, 2018
The effect of lossy ECG compression on QRS and HRV feature extraction
N Twomey, N Walsh, O Doyle, B McGinley, M Glavin, E Jones, ...
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
Talk, text, tag? understanding self-annotation of smart home data from a user’s perspective
EL Tonkin, A Burrows, PR Woznowski, P Laskowski, KY Yordanova, ...
Sensors 18 (7), 2365, 2018
Bayesian Active Transfer Learning in Smart Homes
T Diethe, N Twomey, P Flach
Advances in Active Learning : Bridging Theory and Practice, ICML 2015, 2015
Context Modulation of Sensor Data Applied to Activity Recognition in Smart Homes
N Twomey, P Flach
Workshop on Learning over Multiple Contexts, European Conference on Machine …, 2014
Automated detection of perturbed cardiac physiology during oral food allergen challenge in children
N Twomey, A Temko, JOB Hourihane, WP Marnane
IEEE journal of biomedical and health informatics 18 (3), 1051-1057, 2013
Releasing ehealth analytics into the wild: Lessons learnt from the sphere project
T Diethe, M Holmes, M Kull, M Perello Nieto, K Sokol, H Song, E Tonkin, ...
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Probabilistic sensor fusion for ambient assisted living
T Diethe, N Twomey, M Kull, P Flach, I Craddock
arXiv preprint arXiv:1702.01209, 2017
An RSSI-based Wall Prediction Model for Residential Floor Map Construction
X Fafoutis, E Mellios, N Twomey, T Diethe, G Hilton, R Piechocki
2nd IEEE World Forum on Internet of Things (WF-IoT),, 2015
Bayesian Active Learning with Evidence-Based Instance Selection
N Twomey, T Diethe, P Flach
Second International Workshop on Learning over Multiple Contexts in …, 2015
Bayesian modelling of the temporal aspects of smart home activity with circular statistics
T Diethe, N Twomey, P Flach
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
Talk, text or tag?
P Woznowski, E Tonkin, P Laskowski, N Twomey, K Yordanova, ...
1st International Workshop on Annotation of useR Data for UbiquitOUs Systems …, 2017
Energy-efficient activity recognition framework using wearable accelerometers
A Elsts, N Twomey, R McConville, I Craddock
Journal of Network and Computer Applications 168, 102770, 2020
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