| SemEval-2019 task 4: Hyperpartisan news detection J Kiesel, M Mestre, R Shukla, E Vincent, P Adineh, D Corney, B Stein, ... Proceedings of the 13th International Workshop on Semantic Evaluation, 829-839, 2019 | 236 | 2019 |
| Crowdsourced Measure of News Articles Bias: Assessing Contributors' Reliability. E Vincent, MR Mestre SAD/CrowdBias@ HCOMP, 1-10, 2018 | 12 | 2018 |
| Tracking of consumer behaviour in e-commerce MR Mestre, P Vitoria Proceedings of the 16th International Conference on Information Fusion, 1214 …, 2013 | 10 | 2013 |
| Discovering biased news articles leveraging multiple human annotations K Lazaridou, A Löser, M Mestre, F Naumann Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 9 | 2020 |
| Data for pan at semeval 2019 task 4: Hyperpartisan news detection J Kiesel, M Mestre, R Shukla, E Vincent, D Corney, P Adineh, B Stein, ... November. type: dataset, 2018 | 8 | 2018 |
| Bayesian detection of single-trial event-related potentials MR Mestre, SJ Godsill, WJ Fitzgerald 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 5 | 2014 |
| Multi-target tracking applied to evolutionary clustering MR Mestre, WJ Fitzgerald 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 2 | 2013 |
| Comparison of Gaussian process models for single-trial event-related potentials MR Mestre, WJ Fitzgerald 2012 IEEE Statistical Signal Processing Workshop (SSP), 428-431, 2012 | 1 | 2012 |
| MSR84 Training Models for Machine-Enabled Systematic Literature Reviews: Do Large Datasets Always Give Better Results? S Abogunrin, E Batanova, S Karthick, N LeDrew, M Mestre, G Oliver, ... Value in Health 25 (12), S366, 2022 | | 2022 |
