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Mr Hao SongMSc

Research Associate

1 - 10 out of 11Page size: 10
  1. 2019
  2. Accepted/In press

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

    Perello Nieto, M., Song, H., Flach, P., Kull, M., Kängsepp, M. & Silva Filho, T., 3 Sep 2019, (Accepted/In press) NeurIPS 2019 . 12 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Published

    HyperStream: a Workflow Engine for Streaming Data

    Diethe, T., Kull, M., Twomey, N., Sokol, K., Song, H., Perello-Nieto, M., Tonkin, E. & Flach, P., 7 Aug 2019, In : arXiv.

    Research output: Contribution to journalArticle

  4. Published

    Distribution Calibration for Regression

    Song, H., Diethe, T., Kull, M. & Flach, P., 15 May 2019, International Conference on Machine Learning, 9-15 June 2019, Long Beach, California, USA. Chaudhuri, K. & Salakhutdinov, R. (eds.). Proceedings of Machine Learning Research, p. 5897-5906 10 p. (Proceedings of Machine Learning Research; vol. 97).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. 2018
  6. Published

    Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project

    Diethe, T., Nieto, M. P., Tonkin, E., Holmes, M., Sokol, K., Twomey, N., Kull, M., Song, H. & Flach, P., 19 Jul 2018, KDD'18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), p. 243-252 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Published

    Analysis of patient domestic activity in recovery from hip or knee replacement surgery: modelling wrist-worn wearable RSSI and accelerometer data in the wild

    Holmes, M., Song, H., Tonkin, E. L., Perello Nieto, M., Grant, S. & Flach, P., 13 Jul 2018, 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). CEUR Workshop Proceedings, p. 13-20 8 p. (CEUR Workshop Proceedings; vol. 2148).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. In preparation

    Non-Parametric Calibration of Probabilistic Regression

    Song, H., Flach, P. & Kull, M., 2018, (In preparation).

    Research output: Working paperWorking paper and Preprints

  9. 2016
  10. Published

    The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data

    Twomey, N., Diethe, T., Kull, M., Song, H., Camplani, M., Hannuna, S., Fafoutis, X., Zhu, N., Woznowski, P., Flach, P. & Craddock, I., 2 Mar 2016, In : arXiv. 14 p.

    Research output: Contribution to journalArticle

  11. Published

    Subgroup Discovery with Proper Scoring Rules

    Song, H., Kull, M., Flach, P. & Kalogridis, G., 2016, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II. Springer, p. 492-510 19 p. (Lecture Notes in Computer Science; vol. 9852).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  12. 2015
  13. Published

    Model Reuse with Subgroup Discovery

    Song, H. & Flach, P., 7 Dec 2015, 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). CEUR-WS, 14 p. (CEUR Workshop Proceedings; vol. 1526).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  14. Published

    Dataset Shift Detection with Model-Based Subgroup Discovery

    Song, H., Flach, P. & Kalogridis, G., 2015.

    Research output: Contribution to conferencePaper

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