| 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 | 167 | 2015 |
| 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 | 53 | 2016 |
| A Comprehensive Study of Activity Recognition Using Accelerometers N Twomey, T Diethe, X Fafoutis, A Elsts, R McConville, P Flach, ... Informatics 5, 2018 | 43 | 2018 |
| 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 | 41 | 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 | 36 | 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 | 26 | 2017 |
| Active transfer learning for activity recognition T Diethe, N Twomey, P Flach European Symposium on Artificial Neural Networks, Computational Intelligence …, 2016 | 22 | 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 | 16 | 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 | 15 | 2010 |
| 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 | 13 | 2015 |
| Bayesian Active Transfer Learning in Smart Homes T Diethe, N Twomey, P Flach Advances in Active Learning : Bridging Theory and Practice, ICML 2015, 2015 | 13 | 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 | 12 | 2014 |
| 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 | 11 | 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 | 11 | 2015 |
| Probabilistic sensor fusion for ambient assisted living T Diethe, N Twomey, M Kull, P Flach, I Craddock arXiv preprint arXiv:1702.01209, 2017 | 10 | 2017 |
| 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 | 10 | 2017 |
| 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 | 10 | 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 | 9 | 2018 |
| 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 | 8 | 2018 |
| A Guide to the SPHERE 100 Homes Study Dataset A Elsts, T Burghardt, D Byrne, M Camplani, D Damen, X Fafoutis, ... arXiv preprint arXiv:1805.11907, 2018 | 6 | 2018 |
Tom DietheAmazon; University of BristolVerified email at bristol.ac.uk
