| How complex is your classification problem? a survey on measuring classification complexity AC Lorena, LPF Garcia, J Lehmann, MCP Souto, TK Ho ACM Computing Surveys (CSUR) 52 (5), 1-34, 2019 | 318 | 2019 |
| Effect of label noise in the complexity of classification problems LPF Garcia, AC de Carvalho, AC Lorena Neurocomputing 160, 108-119, 2015 | 168 | 2015 |
| Meta-features for meta-learning A Rivolli, LPF Garcia, C Soares, J Vanschoren, AC de Carvalho Knowledge-Based Systems 240, 108101, 2022 | 142 | 2022 |
| MFE: Towards reproducible meta-feature extraction E Alcobaça, F Siqueira, A Rivolli, LPF Garcia, JT Oliva, AC De Carvalho Journal of Machine Learning Research 21 (111), 1-5, 2020 | 129 | 2020 |
| Use of classification algorithms in noise detection and elimination ALB Miranda, LPF Garcia, AC Carvalho, AC Lorena Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS …, 2009 | 106 | 2009 |
| Noise detection in the meta-learning level LPF Garcia, AC de Carvalho, AC Lorena Neurocomputing 176, 14-25, 2016 | 81 | 2016 |
| Assessing the data complexity of imbalanced datasets VH Barella, LPF Garcia, MCP de Souto, AC Lorena, AC de Carvalho Information Sciences 553, 83-109, 2021 | 63 | 2021 |
| Classifier recommendation using data complexity measures LPF Garcia, AC Lorena, MCP de Souto, TK Ho 2018 24th International Conference on Pattern Recognition (ICPR), 874-879, 2018 | 47 | 2018 |
| Data complexity measures for imbalanced classification tasks VH Barella, LPF Garcia, MP de Souto, AC Lorena, A de Carvalho 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 43 | 2018 |
| Ensembles of label noise filters: a ranking approach LPF Garcia, AC Lorena, S Matwin, AC de Carvalho Data Mining and Knowledge Discovery 30, 1192-1216, 2016 | 43 | 2016 |
| A study on class noise detection and elimination LPF Garcia, AC Lorena, AC Carvalho 2012 brazilian symposium on neural networks, 13-18, 2012 | 43 | 2012 |
| Towards holistic entity linking: Survey and directions IL Oliveira, R Fileto, R Speck, LPF Garcia, D Moussallem, J Lehmann Information Systems 95, 101624, 2021 | 40 | 2021 |
| Towards reproducible empirical research in meta-learning A Rivolli, LPF Garcia, C Soares, J Vanschoren, AC de Carvalho arXiv preprint arXiv:1808.10406, 32-52, 2018 | 40 | 2018 |
| Using the one-vs-one decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems LPF Garcia, JA Sáez, J Luengo, AC Lorena, AC de Carvalho, F Herrera Knowledge-Based Systems 90, 153-164, 2015 | 40 | 2015 |
| New label noise injection methods for the evaluation of noise filters LPF Garcia, J Lehmann, AC de Carvalho, AC Lorena Knowledge-Based Systems 163, 693-704, 2019 | 38 | 2019 |
| Noisy data set identification LPF Garćia, AC de Carvalho, AC Lorena Hybrid Artificial Intelligent Systems: 8th International Conference, HAIS …, 2013 | 31 | 2013 |
| How complex is your classification problem A Lorena, L Garcia, J Lehmann, M Souto, T Ho A survey on measuring classification complexity. arXiv, 2018 | 21 | 2018 |
| The noisefiltersr package: label noise preprocessing in R P Morales, J Luengo, LPF Garcia, AC Lorena, AC de Carvalho, F Herrera The R Journal 9 (1), 219-228, 2017 | 20 | 2017 |
| Boosting meta-learning with simulated data complexity measures LPF Garcia, A Rivolli, E Alcoba, AC Lorena, AC de Carvalho Intelligent Data Analysis 24 (5), 1011-1028, 2020 | 11 | 2020 |
| Applying one-class algorithms for data stream-based insider threat detection RB Peccatiello, JJC Gondim, LPF Garcia IEEE Access, 2023 | 10 | 2023 |
Ana Carolina LorenaInstituto Tecnológico de AeronáuticaVerified email at ita.br
