Hao Song

According to our database, Hao Song authored at least 15 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Classifier calibration: a survey on how to assess and improve predicted class probabilities.

Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach

Mach. Learn., September, 2023

2021

Efficient and Robust Model Benchmarks with Item Response Theory and Adaptive Testing.

Hao Song, Peter A. Flach

Int. J. Interact. Multim. Artif. Intell., 2021

Classifier Calibration: How to assess and improve predicted class probabilities: a survey.

Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach

CoRR, 2021

2020

Modelling Patient Behaviour Using IoT Sensor Data: a Case Study to Evaluate Techniques for Modelling Domestic Behaviour in Recovery from Total Hip Replacement Surgery.

Michael Holmes, Miquel Perelló-Nieto, Hao Song, Emma Tonkin, Sabrina Grant, Peter A. Flach

J. Heal. Informatics Res., 2020

2019

Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration.

Meelis Kull, Miquel Perelló-Nieto, Markus Kängsepp, Telmo de Menezes e Silva Filho, Hao Song, Peter A. Flach

CoRR, 2019

HyperStream: a Workflow Engine for Streaming Data.

Tom Diethe, Meelis Kull, Niall Twomey, Kacper Sokol, Hao Song, Miquel Perelló-Nieto, Emma Tonkin, Peter A. Flach

CoRR, 2019

Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration.

Meelis Kull, Miquel Perelló-Nieto, Markus Kängsepp, Telmo de Menezes e Silva Filho, Hao Song, Peter A. Flach

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Distribution calibration for regression.

Hao Song, Tom Diethe, Meelis Kull, Peter A. Flach

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Non-Parametric Calibration of Probabilistic Regression.

Hao Song, Meelis Kull, Peter A. Flach

CoRR, 2018

Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project.

Tom Diethe, Mike Holmes, Meelis Kull, Miquel Perelló-Nieto, Kacper Sokol, Hao Song, Emma Tonkin, Niall Twomey, Peter A. Flach

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Analysis of Patient Domestic Activity in Recovery From Hip or Knee RePlacement Surgery: Modelling Wrist-worn Wearable RSSI and Accelerometer Data in The Wild.

Mike Holmes, Hao Song, Emma Tonkin, Miquel Perelló-Nieto, Sabrina Grant, Peter A. Flach

Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018

2016

The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data.

Niall Twomey, Tom Diethe, Meelis Kull, Hao Song, Massimo Camplani, Sion L. Hannuna, Xenofon Fafoutis, Ni Zhu, Pete Woznowski, Peter A. Flach, Ian Craddock

CoRR, 2016

Subgroup Discovery with Proper Scoring Rules.

Hao Song, Meelis Kull, Peter A. Flach, Georgios Kalogridis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

Model Reuse with Subgroup Discovery.

Hao Song, Peter A. Flach

Proceedings of the ECML/PKDD 2015 Discovery Challenges co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), 2015

2014

Short paper: Time-dependent power load disaggregation with applications to daily activity monitoring.

Hao Song, Georgios Kalogridis, Zhong Fan

Proceedings of the IEEE World Forum on Internet of Things, 2014