Tom Diethe
Tom Diethe
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
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 (27), 2018
Distribution Calibration for Regression
H Song, T Diethe, M Kull, P Flach
36th International Conference on Machine Learning (ICML), 2019
Multiview Fisher discriminant analysis
T Diethe, DR Hardoon, J Shawe-Taylor
NIPS workshop on learning from multiple sources, 2008
Optimal Continual Learning has Perfect Memory and is NP-hard
J Knoblauch, H Husain, T Diethe
37th International Conference on Machine Learning (ICML), 2020
Privacy-and utility-preserving textual analysis via calibrated multivariate perturbations
O Feyisetan, B Balle, T Drake, T Diethe
Proceedings of the 13th international conference on web search and data …, 2020
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: Urban Design to IoT …, 2017
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
Continual Learning in Practice
T Diethe, T Borchert, E Thereska, B de Balle Pigem, N Lawrence
NeurIPS Workshop on Continual Learning, 2018
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
O Feyisetan, T Diethe, T Drake
IEEE International Conference on Data Mining, ICDM 2019, Beijing, December 8-11, 2019
Designing, developing, and facilitating smart cities: urban design to IoT solutions
V Angelakis, E Tragos, HC Pöhls, A Kapovits, A Bassi
Springer, 2016
Constructing nonlinear discriminants from multiple data views
T Diethe, DR Hardoon, J Shawe-Taylor
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
Active transfer learning for activity recognition
T Diethe, N Twomey, P Flach
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2016
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
Compressed sampling for pulse Doppler radar
GE Smith, T Diethe, Z Hussain, J Shawe-Taylor, DR Hardoon
2010 IEEE Radar Conference, 887-892, 2010
Automatic discovery of privacy-utility Pareto fronts
B Avent, J Gonzalez, T Diethe, A Paleyes, B Balle
Proceedings on Privacy Enhancing Technologies 2020 (4), 5--23, 2019
-IRT: A New Item Response Model and its Applications
Y Chen, RBC Prudêncio, T Diethe, P Flach
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019
Model-Based Machine Learning
J Winn, CM Bishop, T Diethe
Microsoft Research, 2015
Probabilistic sensor fusion for ambient assisted living
T Diethe, N Twomey, M Kull, P Flach, I Craddock
arXiv preprint arXiv:1702.01209, 2017
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Artikkelit 1–20