Follow
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
2892019
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
512020
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
212018
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
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
192019
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
182016
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
172023
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
122023
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
122020
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
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
82022
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
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
62021
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
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
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
32021
Merging chrominance and luminance in early, medium and late fusion using Convolutional Neural Networks
MP Nieto
Aalto University School of Science, 2015
22015
The system can't perform the operation now. Try again later.
Articles 1–20