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Miquel Perelló-Nieto
Miquel Perelló-Nieto
Other namesMiquel Perello Nieto
Research Associate at University of Bristol
Verified email at bristol.ac.uk - Homepage
Title
Cited by
Cited by
Year
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with dirichlet calibration
M Kull, M Perello Nieto, M Kängsepp, T Silva Filho, H Song, P Flach
Advances in neural information processing systems 32, 2019
2662019
Human activity recognition based on dynamic active learning
H Bi, M Perello-Nieto, R Santos-Rodriguez, P Flach
IEEE Journal of Biomedical and Health Informatics 25 (4), 922-934, 2020
442020
Releasing ehealth analytics into the wild: lessons learnt from the sphere project
T Diethe, M Holmes, M Kull, M Perello Nieto, K Sokol, H Song, E Tonkin, ...
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
202018
Classifier calibration: How to assess and improve predicted class probabilities: a survey
T Silva Filho, H Song, M Perello-Nieto, R Santos-Rodriguez, M Kull, ...
arXiv e-prints, arXiv: 2112.10327, 2021
19*2021
Background Check: A general technique to build more reliable and versatile classifiers
M Perello-Nieto, ES Telmo De Menezes Filho, M Kull, P Flach
2016 IEEE 16th International Conference on Data Mining (ICDM), 1143-1148, 2016
172016
Telmo de Menezes e Silva Filho, Hao Song, and Peter A. Flach. Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with dirichlet calibration
M Kull, M Perelló-Nieto, M Kängsepp
Conference on Neural Information Processing Systems (NeurIPS) 53, 54-58, 2019
122019
Modelling patient behaviour using IoT sensor data: a case study to evaluate techniques for modelling domestic behaviour in recovery from total hip replacement surgery
M Holmes, MP Nieto, H Song, E Tonkin, S Grant, P Flach
Journal of Healthcare Informatics Research 4, 238-260, 2020
112020
Recycling weak labels for multiclass classification
M Perello-Nieto, R Santos-Rodriguez, D Garcia-Garcia, J Cid-Sueiro
Neurocomputing 400, 206-215, 2020
102020
Analysis of patient domestic activity in recovery from Hip or Knee replacement surgery: modelling wrist-worn wearable RSSI and Accelerometer data in the wild
M Holmes, H Song, E Tonkin, M Perello Nieto, S Grant, P Flach
Proceedings of the 3rd International Workshop on Knowledge Discovery in …, 2018
102018
An active semi-supervised deep learning model for human activity recognition
H Bi, M Perello-Nieto, R Santos-Rodriguez, P Flach, I Craddock
Journal of Ambient Intelligence and Humanized Computing 14 (10), 13049-13065, 2023
82023
Classifier calibration: a survey on how to assess and improve predicted class probabilities
T Silva Filho, H Song, M Perello-Nieto, R Santos-Rodriguez, M Kull, ...
Machine Learning, 1-50, 2023
82023
The weak supervision landscape
R Poyiadzi, D Bacaicoa-Barber, J Cid-Sueiro, M Perello-Nieto, P Flach, ...
2022 IEEE International Conference on Pervasive Computing and Communications …, 2022
72022
TS Filho, H
M Kull, M Perello-Nieto, M Kängsepp
Song, and P. Flach,“Beyond temperature scaling: Obtaining well-calibrated …, 2019
72019
Adapting supervised classification algorithms to arbitrary weak label scenarios
M Perelló-Nieto, R Santos-Rodríguez, J Cid-Sueiro
Advances in Intelligent Data Analysis XVI: 16th International Symposium, IDA …, 2017
72017
Filho, TS; Song, H.; and Flach
M Kull, M Perello-Nieto, M Kängsepp
Beyond temperature scaling: Obtaining well-calibrated multiclass …, 0
7
On the selection of loss functions under known weak label models
D Bacaicoa-Barber, M Perello-Nieto, R Santos-Rodríguez, J Cid-Sueiro
International Conference on Artificial Neural Networks, 332-343, 2021
52021
Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms
C Morgan, F Heidarivincheh, I Craddock, R McConville, MP Nieto, ...
2021 IEEE international conference on pervasive computing and communications …, 2021
52021
Towards a methodology for acceptance testing and validation of monitoring bodyworn devices
EL Tonkin, MP Nieto, H Bi, A Vafeas
2020 IEEE international conference on pervasive computing and communications …, 2020
42020
A multi-sensor dataset with annotated activities of daily living recorded in a residential setting
EL Tonkin, M Holmes, H Song, N Twomey, T Diethe, M Kull, ...
Scientific Data 10 (1), 162, 2023
12023
Classifier Calibration: A survey on how to assess and improve predicted class probabilities
H Song, M Perello-Nieto, R Santos-Rodriguez, M Kull, P Flach
arXiv preprint arXiv:2112.10327, 2021
12021
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Articles 1–20