Approaching sentiment analysis by using semi-supervised learning of multi-dimensional classifiers J Ortigosa-Hernández, JD Rodríguez, L Alzate, M Lucania, I Inza, ... Neurocomputing 92, 98-115, 2012 | 166 | 2012 |
Measuring the class-imbalance extent of multi-class problems J Ortigosa-Hernández, I Inza, JA Lozano Pattern Recognition Letters 98, 32-38, 2017 | 77 | 2017 |
Semisupervised multiclass classification problems with scarcity of labeled data: A theoretical study J Ortigosa-Hernández, I Inza, JA Lozano IEEE transactions on neural networks and learning systems 27 (12), 2602-2614, 2016 | 15 | 2016 |
Towards competitive classifiers for unbalanced classification problems: A study on the performance scores J Ortigosa-Hernández, I Inza, JA Lozano arXiv preprint arXiv:1608.08984, 2016 | 15 | 2016 |
A semi-supervised approach to multi-dimensional classification with application to sentiment analysis J Ortigosa-Hernández, JD Rodríguez, L Alzate, I Inza, JA Lozano 6th Spanish Workshop on Data Mining and Learning (TAMIDA), 129-138, 2010 | 6 | 2010 |
On the optimal usage of labelled examples in semi-supervised multi-class classification problems J Ortigosa Hernández, I Inza Cano, JA Lozano Alonso Technical Report EHU-KZAA-TR 2015 (01), 2015 | 2 | 2015 |
Theoretical and Methodological Advances in Semi-supervised Learning and the Class-Imbalance Problem J Ortigosa-Hernández University of the Basque Country, 2018 | | 2018 |