Research output per year
Research output per year
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.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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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., 14 Dec 2019, 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 proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile85 Downloads (Pure) -
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 proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile4 Citations (Scopus)353 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 proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile11 Citations (Scopus)611 Downloads (Pure)
Datasets
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SPHERE house scripted dataset: A multi-sensor dataset with annotated activities of daily living recorded in a residential setting v2.0
Tonkin, E. L. (Creator), Holmes, M. (Creator), Song, H. (Creator), Twomey, N. (Creator), Diethe, T. (Creator), Kull, M. (Creator), Perello Nieto, M. (Creator), Camplani, M. (Creator), Hannuna, S. L. (Creator), Fafoutis, X. (Creator), Zhu, N. (Creator), Woznowski, P. R. (Creator), Tourte, G. (Creator), Santos-Rodriguez, R. (Creator), Flach, P. A. (Creator) & Craddock, I. J. (Creator), University of Bristol, 3 Nov 2022
DOI: 10.5523/bris.2h0wyctxrd69j2oqccsi45hy1p, http://data.bris.ac.uk/data/dataset/2h0wyctxrd69j2oqccsi45hy1p
Dataset
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Sphere House Multi-wearable
Tonkin, E. L. (Creator), Vafeas, A. (Creator), Perello Nieto, M. (Creator), Bi, H. (Creator) & Craddock, I. J. (Data Manager), University of Bristol, 17 Dec 2020
DOI: 10.5523/bris.pvn2rvkfirba2rz0ul145q18a, http://data.bris.ac.uk/data/dataset/pvn2rvkfirba2rz0ul145q18a
Dataset
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SPHERE house scripted dataset: A multi-sensor dataset with annotated activities of daily living recorded in a residential setting
Twomey, N. (Creator), Song, H. (Creator), Camplani, M. (Creator), Hannuna, S. L. (Creator), Zhu, N. (Creator), Woznowski, P. (Creator), Perello Nieto, M. (Creator), Tonkin, E. L. (Creator), Flach, P. A. (Creator) & Craddock, I. J. (Data Manager), University of Bristol, 17 Dec 2020
DOI: 10.5523/bris.1dcxespcsafm02fba4bckx0ymt, http://data.bris.ac.uk/data/dataset/1dcxespcsafm02fba4bckx0ymt
Dataset
Activities
- 1 Participation in workshop, seminar, course
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Classifier Calibration
Peter A Flach (Organiser), Miquel Perello Nieto (Organiser), Hao Song (Organiser), Meelis Kull (Organiser) & Telmo De Menezes E Silva Filho (Organiser)
14 Sept 2020Activity: Participating in or organising an event types › Participation in workshop, seminar, course
Thesis
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Uncertainty aware classification: augmenting classifiers to handle uncertainty
Author: Perello Nieto, M., 9 May 2023Supervisor: Flach, P. (Supervisor) & Santos-Rodriguez, R. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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