Luís Paulo Faina Garcia
Luís Paulo Faina Garcia
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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
632009
Effect of label noise in the complexity of classification problems
LPF Garcia, AC de Carvalho, AC Lorena
Neurocomputing 160, 108-119, 2015
612015
Noise detection in the meta-learning level
LPF Garcia, AC de Carvalho, AC Lorena
Neurocomputing 176, 14-25, 2016
412016
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
382019
A study on class noise detection and elimination
LPF Garcia, AC Lorena, AC Carvalho
2012 Brazilian Symposium on Neural Networks, 13-18, 2012
222012
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
202016
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
182015
Noisy data set identification
LPF Garćia, AC de Carvalho, AC Lorena
International Conference on Hybrid Artificial Intelligence Systems, 629-638, 2013
132013
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
122018
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
122018
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
122014
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
72019
How complex is your classification problem
A Lorena, L Garcia, J Lehmann, M Souto, T Ho
A survey on measuring classification complexity. arXiv preprint. arXiv 180803591, 2018
72018
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
62018
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
52017
Including Improvement of the Execution Time in a Software Architecture of Libraries With Self-Optimisation.
LP García, J Cuenca, D Giménez
ICSOFT (SE), 156-161, 2007
42007
Adapting noise filters for ranking
AC Lorena, LPF Garcia, AC de Carvalho
2015 Brazilian Conference on Intelligent Systems (BRACIS), 299-304, 2015
32015
QROWD: Because Big Data Integration is Humanly Possible
E Maddalena, LD Ibáñez, E Simperl, M Zeni, E Bignotti, F Giunchiglia, ...
Proceedings of the Project Showcase Track of KDD2018, 2018
22018
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
12020
The Influence of Sampling on Imbalanced Data Classification
V Barella, L Garcia, A de Carvalho
2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 210-215, 2019
12019
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Artigos 1–20