Niall Twomey
Niall Twomey
Research Fellow, University of Bristol, United Kingdom
Verified email at bristol.ac.uk - Homepage
TitleCited byYear
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
1322015
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
442016
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
342017
Comparison of accelerometer-based energy expenditure estimation algorithms
N Twomey, S Faul, WP Marnane
2010 4th International Conference on Pervasive Computing Technologies for …, 2010
332010
A Comprehensive Study of Activity Recognition Using Accelerometers
N Twomey, T Diethe, X Fafoutis, A Elsts, R McConville, P Flach, ...
Informatics 5, 2018
252018
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
202017
Active transfer learning for activity recognition
T Diethe, N Twomey, P Flach
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2016
182016
Bayesian Active Transfer Learning in Smart Homes
T Diethe, N Twomey, P Flach
Advances in Active Learning : Bridging Theory and Practice, ICML 2015, 2015
132015
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
132010
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
102018
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
102015
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
102014
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
102013
Probabilistic sensor fusion for ambient assisted living
T Diethe, N Twomey, M Kull, P Flach, I Craddock
arXiv preprint arXiv:1702.01209, 2017
92017
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
92017
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
92015
Bayesian Active Learning with Evidence-Based Instance Selection
N Twomey, T Diethe, P Flach
Second International Workshop on Learning over Multiple Contexts in …, 2015
92015
On the need for structure modelling in sequence prediction
N Twomey, T Diethe, P Flach
Machine Learning 104 (2-3), 291-314, 2016
62016
SPHERE-a Sensor Platform for HEalthcare in a Residential Environment
TR Diethe, N Twomey, P Flach
62014
Talk, Text, Tag? Understanding Self-Annotation of Smart Home Data from a User’s Perspective
E Tonkin, A Burrows, P Woznowski, P Laskowski, K Yordanova, ...
Sensors 18 (7), 2365, 2018
52018
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