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
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
A Comprehensive Study of Activity Recognition Using Accelerometers
N Twomey, T Diethe, X Fafoutis, A Elsts, R McConville, P Flach, ...
Informatics 5 (27), 2018
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
Compressed sampling for pulse Doppler radar
GE Smith, T Diethe, Z Hussain, J Shawe-Taylor, DR Hardoon
2010 IEEE Radar Conference, 887-892, 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
Designing, developing, and facilitating smart cities: urban design to IoT solutions
V Angelakis, E Tragos, HC Pöhls, A Kapovits, A Bassi
Springer, 2016
Bayesian active transfer learning in smart homes
T Diethe, N Twomey, P Flach
ICML Active Learning Workshop, 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
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
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), Milan, Italy, 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
Data-dependent kernels in nearly-linear time
G Lever, T Diethe, J Shawe-Taylor
Proceedings of the Fifteenth International Conference on Artificial …, 2012
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