Hao Song
Hao Song
Research Associate, University of Bristol
Verified email at bristol.ac.uk
TitleCited byYear
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
Short paper: Time-dependent power load disaggregation with applications to daily activity monitoring
H Song, G Kalogridis, Z Fan
2014 IEEE World Forum on Internet of Things (WF-IoT), 183-184, 2014
112014
Subgroup discovery with proper scoring rules
H Song, M Kull, P Flach, G Kalogridis
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
62016
Distribution Calibration for Regression
H Song, T Diethe, M Kull, P Flach
International Conference on Machine Learning, 5897--5906, 2019
12019
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
12018
Analysis of patient domestic activity in recovery from Hip or Knee replacement surgery: modelling wrist-worn wearable RSSI and Accelerometer data in the wild
M Holmes, H Song, MP Nieto, E Tonkin, S Grant, P Flach
The 3rd International Workshop on Knowledge Discovery in Healthcare Data …, 2018
12018
Non-Parametric Calibration of Probabilistic Regression
H Song, M Kull, P Flach
arXiv preprint arXiv:1806.07690, 2018
12018
Model-based Subgroup Discovery
H Song
University of Bristol, 2017
12017
Dataset Shift Detection with Model-Based Subgroup Discovery
H Song, P Flach, G Kalogridis
2nd International Workshop on Learning over Multiple Contexts (LMCE 2015), 2015
12015
Model Reuse with Subgroup Discovery
H Song, P Flach
ECML-PKDD-DCs 2015, 1, 2015
12015
HyperStream: a Workflow Engine for Streaming Data
T Diethe, M Kull, N Twomey, K Sokol, H Song, M Perello-Nieto, E Tonkin, ...
arXiv preprint arXiv:1908.02858, 2019
2019
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration
M Kull, MP Nieto, M Kängsepp, T Silva Filho, H Song, P Flach
Advances in Neural Information Processing Systems, 12295-12305, 2019
2019
for Regression. In K. Chaudhuri, & R. Salakhutdinov (Eds.), International Conference on Machine Learning, 9-15 June 2019, Long Beach, California, USA (pp. 5897-5906 …
H Song, T Diethe, M Kull, P Flach
with Proper Scoring Rules. In Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016.(pp. 492-510).(Lecture Notes in Computer Science; Vol …
H Song, M Kull, P Flach, G Kalogridis
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Articles 1–14