Project Details

StatusFinished
Effective start/end date1/02/131/08/16

Funding

  • Engineering and Physical Sciences Research Council: £381,274.00

Research Output

  • 15 Conference Contribution (Conference Proceeding)
  • 5 Article (Academic Journal)
  • 3 Conference Paper
  • 1 Entry for encyclopedia/dictionary

Background Check: A General Technique to Build More Reliable and Versatile Classifiers

Perello-Nieto, M., Filho, T. M. S., Kull, M. & Flach, P., Mar 2017, 2016 IEEE 16th International Conference on Data Mining (ICDM 2016): Proceedings of a meeting held 12-15 December 2016, Barcelona, Spain. Institute of Electrical and Electronics Engineers (IEEE), p. 1143-1148 6 p. 7837963. (Proceedings of the IEEE International Conference on Data Mining (ICDM)).

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Open Access
File
  • 2 Citations (Scopus)
    353 Downloads (Pure)

    Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers

    Kull, M., De Menezes E Silva Filho, T. & Flach, P., 1 Apr 2017, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017). Journal of Machine Learning Research, 9 p. (JMLR Workshop and Conference Proceedings; vol. 54).

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Open Access
    File
  • Beyond Sigmoids: How to obtain well-calibrated probabilities from binary classifiers with beta calibration

    Kull, M., Silva Filho, T. M. & Flach, P., 15 Dec 2017, In : Electronic Journal of Statistics. 11, 2, p. 5052-5080 29 p.

    Research output: Contribution to journalArticle (Academic Journal)

    Open Access
    File
  • 2 Citations (Scopus)
    533 Downloads (Pure)

    Prizes

    ECML-PKDD 2014 Best paper award

    Flach, Peter A (Recipient), 2014

    Prize: Prizes, Medals, Awards and Grants