Tom Diethe
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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
Multiview Fisher discriminant analysis
T Diethe, DR Hardoon, J Shawe-Taylor
NIPS workshop on learning from multiple sources, 2008
A Comprehensive Study of Activity Recognition Using Accelerometers
N Twomey, T Diethe, X Fafoutis, A Elsts, R McConville, P Flach, ...
Informatics 5 (27), 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
Constructing nonlinear discriminants from multiple data views
T Diethe, DR Hardoon, J Shawe-Taylor
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
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
Online learning with (multiple) kernels: A review
T Diethe, M Girolami
Neural computation 25 (3), 567-625, 2013
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
Compressed sampling for pulse Doppler radar
GE Smith, T Diethe, Z Hussain, J Shawe-Taylor, DR Hardoon
2010 IEEE Radar Conference, 887-892, 2010
Designing, developing, and facilitating smart cities: urban design to IoT solutions
V Angelakis, E Tragos, HC Pöhls, A Kapovits, A Bassi
Springer, 2016
Continual Learning in Practice
T Diethe, T Borchert, E Thereska, B de Balle Pigem, N Lawrence
NeurIPS Workshop on Continual Learning, 2018
Distribution Calibration for Regression
H Song, T Diethe, M Kull, P Flach
36th International Conference on Machine Learning (ICML), 2019
Bayesian active transfer learning in smart homes
T Diethe, N Twomey, P Flach
ICML Active Learning Workshop, 2015
Model-Based Machine Learning
J Winn, CM Bishop, T Diethe
Microsoft Research, 2015
Matching pursuit kernel fisher discriminant analysis
T Diethe, Z Hussain, D Hardoon, J Shawe-Taylor
Artificial Intelligence and Statistics, 121-128, 2009
University of Bristol
P Race
United Kingdom, 0
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
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), Milan, Italy, 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
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