| 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 | 266 | 2019 |
| 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 | 44 | 2020 |
| 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 | 20 | 2018 |
| 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 | 17 | 2016 |
| 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 | 12 | 2019 |
| 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 | 11 | 2020 |
| Recycling weak labels for multiclass classification M Perello-Nieto, R Santos-Rodriguez, D Garcia-Garcia, J Cid-Sueiro Neurocomputing 400, 206-215, 2020 | 10 | 2020 |
| 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 | 10 | 2018 |
| 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 | 8 | 2023 |
| 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 | 8 | 2023 |
| 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 | 7 | 2022 |
| TS Filho, H M Kull, M Perello-Nieto, M Kängsepp Song, and P. Flach,“Beyond temperature scaling: Obtaining well-calibrated …, 2019 | 7 | 2019 |
| 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 | 7 | 2017 |
| 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 | 5 | 2021 |
| 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 | 5 | 2021 |
| 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 | 4 | 2020 |
| 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 | 1 | 2023 |
| 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 | 1 | 2021 |
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolVerified email at bristol.ac.uk
