Mr Miquel Perello Nieto

MSc (Aalto U), MSc (UPC-Barcelona Tech, Spain), BSc (UPC-Barcelona Tech, Spain)

  • BS1 5DD

20172020

Research output per year

If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Miquel Perello Nieto is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

  • 6 Conference Contribution (Conference Proceeding)
  • 5 Article (Academic Journal)

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

Kull, M., Perello Nieto, M., Kängsepp, M., Silva Filho, T., Song, H. & Flach, P., 3 Sep 2019, (Accepted/In press) Advances in Neural Information Processing Systems 32 (NIPS 2019). Wallach, H., Larochelle, H., Beygelzimer, A., d'Alché-Buc, F., Fox, E. & Garnett, R. (eds.). Neural Information Processing Systems Foundation, 12 p.

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

  • Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios

    Perelló-Nieto, M., Santos-Rodríguez, R. & Cid-Sueiro, J., 4 Oct 2017, Advances in Intelligent Data Analysis XVI: 16th International Symposium, IDA 2017, London, UK, October 26–28, 2017, Proceedings. Springer Verlag, p. 247-259 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10584 LNCS).

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

    Open Access
    File
  • 1 Citation (Scopus)
    279 Downloads (Pure)

    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)
    357 Downloads (Pure)