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Luís Paulo Faina Garcia
Luís Paulo Faina Garcia
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Title
Cited by
Cited by
Year
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
1422019
Effect of label noise in the complexity of classification problems
LPF Garcia, AC de Carvalho, AC Lorena
Neurocomputing 160, 108-119, 2015
1182015
Use of classification algorithms in noise detection and elimination
ALB Miranda, LPF Garcia, AC Carvalho, AC Lorena
International Conference on Hybrid Artificial Intelligence Systems, 417-424, 2009
802009
Noise detection in the meta-learning level
LPF Garcia, AC de Carvalho, AC Lorena
Neurocomputing 176, 14-25, 2016
602016
MFE: Towards reproducible meta-feature extraction.
E Alcobaça, F Siqueira, A Rivolli, LPF Garcia, JT Oliva, AC de Carvalho
J. Mach. Learn. Res. 21 (111), 1-5, 2020
432020
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
342015
A study on class noise detection and elimination
LPF Garcia, AC Lorena, AC Carvalho
2012 brazilian symposium on neural networks, 13-18, 2012
322012
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
272019
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
252018
Ensembles of label noise filters: a ranking approach
LPF Garcia, AC Lorena, S Matwin, AC de Carvalho
Data Mining and Knowledge Discovery 30 (5), 1192-1216, 2016
252016
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
232018
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
232018
Noisy data set identification
LPF Garćia, AC de Carvalho, AC Lorena
International Conference on Hybrid Artificial Intelligence Systems, 629-638, 2013
232013
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
152021
Towards holistic entity linking: Survey and directions
IL Oliveira, R Fileto, R Speck, LPF Garcia, D Moussallem, J Lehmann
Information Systems 95, 101624, 2021
132021
How complex is your classification problem
A Lorena, L Garcia, J Lehmann, M Souto, T Ho
A survey on measuring classification complexity. arXiv, 2018
132018
Empirical installation of linear algebra shared-memory subroutines for auto-tuning
J Cámara, J Cuenca, D Giménez, LP García, AM Vidal
International Journal of Parallel Programming 42 (3), 408-434, 2014
132014
The NoiseFiltersR Package: Label Noise Preprocessing in R.
P Morales, J Luengo, LPF Garcia, AC Lorena, AC de Carvalho, F Herrera
R J. 9 (1), 219, 2017
92017
Meta-features for meta-learning
A Rivolli, LPF Garcia, C Soares, J Vanschoren, AC de Carvalho
Knowledge-Based Systems 240, 108101, 2022
72022
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
72020
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