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ORCIDHao Song 0007
Person information
- affiliation: University of Bristol, Intelligent Systems Laboratory, Merchant Venturers Building, UK
- affiliation: Toshiba Research Europe Limited, Telecommunications Research Laboratory, Bristol, UK
Other persons with the same name
- Hao Song — disambiguation page
- Hao Song 0001
![[0000-0002-1554-3759]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1554-3759")
— Virginia Tech, Blacksburg, VA, USA - Hao Song 0002 — Beijing Institute of Technology, Beijing, China
- Hao Song 0003 — Air Force Engineering University, Xi'an, China
- Hao Song 0004 — University of Pittsburgh, Department of Radiology, Pittsburgh, PA, USA
- Hao Song 0005 — Henan University of Science and Technology, Luoyang, China
- Hao Song 0006 — University of Southern California, Los Angeles, CA, USA
- Hao Song 0008 — Kunming Metallurgy College, Faculty of Computer Information, China
- Hao Song 0009 — Computer Modeling Group Ltd., Calgary, AB, Canada (and 2 more)
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2020 – today
- 2023
[j3]Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach:
Classifier calibration: a survey on how to assess and improve predicted class probabilities. Mach. Learn. 112(9): 3211-3260 (2023)- 2021
- [j2]Hao Song, Peter A. Flach:
Efficient and Robust Model Benchmarks with Item Response Theory and Adaptive Testing. Int. J. Interact. Multim. Artif. Intell. 6(5): 110-118 (2021) - [i6]Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach:
Classifier Calibration: How to assess and improve predicted class probabilities: a survey. CoRR abs/2112.10327 (2021) - 2020
- [j1]Michael Holmes, Miquel Perelló-Nieto, Hao Song, Emma Tonkin, Sabrina Grant, Peter A. Flach:
Modelling Patient Behaviour Using IoT Sensor Data: a Case Study to Evaluate Techniques for Modelling Domestic Behaviour in Recovery from Total Hip Replacement Surgery. J. Heal. Informatics Res. 4(3): 238-260 (2020)
2010 – 2019
- 2019
- [c7]Hao Song, Tom Diethe, Meelis Kull, Peter A. Flach:
Distribution calibration for regression. ICML 2019: 5897-5906 - [c6]Meelis Kull, Miquel Perelló-Nieto, Markus Kängsepp, Telmo de Menezes e Silva Filho, Hao Song, Peter A. Flach:
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration. NeurIPS 2019: 12295-12305 - [i5]Hao Song, Tom Diethe, Meelis Kull, Peter A. Flach:
Distribution Calibration for Regression. CoRR abs/1905.06023 (2019) - [i4]Tom Diethe, Meelis Kull, Niall Twomey, Kacper Sokol, Hao Song, Miquel Perelló-Nieto, Emma Tonkin, Peter A. Flach:
HyperStream: a Workflow Engine for Streaming Data. CoRR abs/1908.02858 (2019) - [i3]Meelis Kull, Miquel Perelló-Nieto, Markus Kängsepp, Telmo de Menezes e Silva Filho, Hao Song, Peter A. Flach:
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration. CoRR abs/1910.12656 (2019) - 2018
- [c5]Mike Holmes, Hao Song, Emma Tonkin, Miquel Perelló-Nieto, Sabrina Grant, Peter A. Flach:
Analysis of Patient Domestic Activity in Recovery From Hip or Knee RePlacement Surgery: Modelling Wrist-worn Wearable RSSI and Accelerometer Data in The Wild. KDH@IJCAI 2018: 13-20 - [c4]Tom Diethe, Mike Holmes, Meelis Kull, Miquel Perelló-Nieto, Kacper Sokol, Hao Song, Emma Tonkin, Niall Twomey, Peter A. Flach:
Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project. KDD 2018: 243-252 - [i2]Hao Song, Meelis Kull, Peter A. Flach:
Non-Parametric Calibration of Probabilistic Regression. CoRR abs/1806.07690 (2018) - 2016
- [c3]Hao Song, Meelis Kull, Peter A. Flach, Georgios Kalogridis:
Subgroup Discovery with Proper Scoring Rules. ECML/PKDD (2) 2016: 492-510 - [i1]Niall Twomey, Tom Diethe, Meelis Kull, Hao Song, Massimo Camplani, Sion L. Hannuna, Xenofon Fafoutis, Ni Zhu, Pete Woznowski, Peter A. Flach, Ian Craddock:
The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data. CoRR abs/1603.00797 (2016) - 2015
- [c2]Hao Song, Peter A. Flach:
Model Reuse with Subgroup Discovery. DC@PKDD/ECML 2015 - 2014
- [c1]Hao Song, Georgios Kalogridis, Zhong Fan:
Short paper: Time-dependent power load disaggregation with applications to daily activity monitoring. WF-IoT 2014: 183-184
Coauthor Index
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