| Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration M Kull, MP Nieto, M Kängsepp, T Silva Filho, H Song, P Flach Advances in Neural Information Processing Systems, 12316-12326, 2019 | 19 | 2019 |
| 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 | 9 | 2018 |
| 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 | 4 | 2016 |
| 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 | 2 | 2018 |
| Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios M Perelló-Nieto, R Santos-Rodríguez, J Cid-Sueiro International Symposium on Intelligent Data Analysis, 247-259, 2017 | 2 | 2017 |
| Merging chrominance and luminance in early, medium and late fusion using Convolutional Neural Networks MP Nieto Aalto University School of Science, 2015 | 1 | 2015 |
| Hands-on course in networked control systems JM Fuertes, R Villa, J Ayza, P Marés, P Martí, M Velasco, J Yépez, ... 2012 20th Mediterranean Conference on Control & Automation (MED), 1468-1473, 2012 | 1 | 2012 |
| Recycling Weak Labels for Multiclass Classification M Perello-Nieto, R Santos-Rodriguez, D Garcia-Garcia, J Cid-Sueiro Neurocomputing, 2020 | | 2020 |
| 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, 1-23, 2020 | | 2020 |
| HyperStream: a Workflow Engine for Streaming Data T Diethe, M Kull, N Twomey, K Sokol, H Song, M Perello-Nieto, E Tonkin, ... arXiv preprint arXiv:1908.02858, 2019 | | 2019 |
| Estimating Models’ Uncertainty in Supervised and Semi-Supervised Classification Problems. Half-year Ph. D. review M Perelló-Nieto | | 2018 |
| Merging chrominance and luminance in early, medium, and late fusion using Convolutional Neural Networks M Perello Nieto | | 2015 |
| Work 2. Case-based reasoning exercise MAG Gonzalo, MP Nieto | | 2012 |
| Design of a platform to test distributed control systems M Perelló Nieto Universitat Politècnica de Catalunya, 2012 | | 2012 |
| Design of a hands-on course in networked control systems JM Fuertes Armengol, R Villa Millaruelo, J Ayza Graells, P Marès Martí, ... | | 2012 |
| Design of a hands-on course in networked control systems JM Fuertes Armengol, R Villa Millaruelo, J Ayza Graells, P Marès Martí, ... | | 2012 |
| Design of a platform to test distributed control systems MP Nieto, JMF Armengol, MV Garcia Universitat Politècnica de Catalunya. Facultat d'Informàtica de Barcelona …, 2012 | | 2012 |
| Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration Supplementary material M Kull, M Perello-Nieto, M Kängsepp, T Silva Filho, H Song, P Flach | | |
| TREBALL DE RECERCA: EL MÓN SUBATÒMIC M Perelló Nieto, JA Garrido | | |
| Unsupervised Learning of Multiple Languages Using Recurrent Neural Networks MP Nieto, M Berglund, T Raiko | | |
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolVerified email at bristol.ac.uk
