Luís Paulo F. Garcia

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 22

Top Topics

Feature Extraction

Complexity Measures

Imbalanced Data

Top Venues

Knowl. Based Syst.

Publications

Pedro B. Pio, Adriano Rivolli, André C. P. L. F. de Carvalho, Luís Paulo F. Garcia
A review on preprocessing algorithm selection with meta-learning. Knowl. Inf. Syst. 66 (1) (2024)
Gean Trindade Pereira, Iury Batista de Andrade Santos, Luís Paulo F. Garcia, Thierry Urruty, Muriel Visani, André C. P. L. F. de Carvalho
Neural architecture search with interpretable meta-features and fast predictors. Inf. Sci. 649 (2023)
Fernanda A. Melo, André C. P. L. F. de Carvalho, Ana Carolina Lorena, Luís Paulo F. Garcia
Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection. HAIS (2023)
Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho
Meta-features for meta-learning. Knowl. Based Syst. 240 (2022)
Italo Lopes Oliveira, Renato Fileto, René Speck, Luís Paulo F. Garcia, Diego Moussallem, Jens Lehmann
Towards holistic Entity Linking: Survey and directions. Inf. Syst. 95 (2021)
Luís Paulo F. Garcia, Felipe Campelo, Guilherme N. Ramos, Adriano Rivolli, André C. P. L. F. de Carvalho
Evaluating Clustering Meta-features for Classifier Recommendation. BRACIS (1) (2021)
Adriano Rivolli, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho
A Study of the Correlation of Metafeatures Used for Metalearning. IWANN (1) (2021)
Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Assessing the data complexity of imbalanced datasets. Inf. Sci. 553 (2021)
Jáder M. C. de Sá, Andre L. D. Rossi, Gustavo E. A. P. A. Batista, Luís Paulo F. Garcia
Algorithm Recommendation for Data Streams. ICPR (2020)
Edesio Alcobaça, Felipe Siqueira, Adriano Rivolli, Luís Paulo F. Garcia, Jefferson Tales Oliva, André C. P. L. F. de Carvalho
MFE: Towards reproducible meta-feature extraction. J. Mach. Learn. Res. 21 (2020)
Luís Paulo F. Garcia, Adriano Rivolli, Edesio Alcobaça, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Boosting meta-learning with simulated data complexity measures. Intell. Data Anal. 24 (5) (2020)
Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho
Simulating Complexity Measures on Imbalanced Datasets. BRACIS (2) (2020)
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcílio Carlos Pereira de Souto, Tin Kam Ho
How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity. ACM Comput. Surv. 52 (5) (2019)
Luís Paulo F. Garcia, Jens Lehmann, André C. P. L. F. de Carvalho, Ana Carolina Lorena
New label noise injection methods for the evaluation of noise filters. Knowl. Based Syst. 163 (2019)
Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho
The Influence of Sampling on Imbalanced Data Classification. BRACIS (2019)
Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Data Complexity Measures for Imbalanced Classification Tasks. IJCNN (2018)
Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho
Towards Reproducible Empirical Research in Meta-Learning. CoRR (2018)
Luís Paulo F. Garcia, Ana Carolina Lorena, Marcilio C. P. de Souto, Tin Kam Ho
Classifier Recommendation Using Data Complexity Measures. ICPR (2018)
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcilio C. P. de Souto, Tin Kam Ho
How Complex is your classification problem? A survey on measuring classification complexity. CoRR (2018)
Pablo Morales, Julián Luengo, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera
The NoiseFiltersR Package: Label Noise Preprocessing in R. R J. 9 (1) (2017)
Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
Noise detection in the meta-learning level. Neurocomputing 176 (2016)
Luís Paulo F. Garcia, Ana Carolina Lorena, Stan Matwin, André Carlos Ponce de Leon Ferreira de Carvalho
Ensembles of label noise filters: a ranking approach. Data Min. Knowl. Discov. 30 (5) (2016)
Luís Paulo F. Garcia, José A. Sáez, Julián Luengo, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera
Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. Knowl. Based Syst. 90 (2015)
Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
Effect of label noise in the complexity of classification problems. Neurocomputing 160 (2015)
Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
Noisy Data Set Identification. HAIS (2013)
Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho
A Study on Class Noise Detection and Elimination. SBRN (2012)
André L. B. Miranda, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
Use of Classification Algorithms in Noise Detection and Elimination. HAIS (2009)