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ORCIDLuís Paulo F. Garcia
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- affiliation: University of Sao Paulo, Brazil
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2020 – today
- 2024
[j15]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): 1-28 (2024)- 2023
- [j14]Rafael Bruno Peccatiello, João José Costa Gondim, Luís Paulo Faina Garcia:
Applying One-Class Algorithms for Data Stream-Based Insider Threat Detection. IEEE Access 11: 70560-70573 (2023) - [j13]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: 119642 (2023) - [c14]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: 51-62 - [c13]Rubens Marques Chaves, André Luis Debiaso Rossi, Luís Paulo Faina Garcia:
Financial Distress Prediction in an Imbalanced Data Stream Environment. HAIS 2023: 168-179 - 2022
- [j12]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: 108101 (2022) - 2021
- [j11]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: 101624 (2021) - [j10]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: 83-109 (2021) - [c12]Luís Paulo F. Garcia, Felipe Campelo, Guilherme Novaes Ramos, Adriano Rivolli, André C. P. L. F. de Carvalho:
Evaluating Clustering Meta-features for Classifier Recommendation. BRACIS (1) 2021: 453-467 - [c11]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: 471-483 - [i3]Manuela M. C. de Souza, Camila F. T. Pontes, João J. C. Gondim, Luís Paulo F. Garcia, Luiz A. DaSilva, Marcelo Antonio Marotta:
An Anomaly-based Multi-class Classifier for Network Intrusion Detection. CoRR abs/2109.11224 (2021) - 2020
- [j9]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): 1011-1028 (2020) - [j8]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: 111:1-111:5 (2020) - [c10]Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho:
Simulating Complexity Measures on Imbalanced Datasets. BRACIS (2) 2020: 498-512 - [c9]Italo Lopes Oliveira, Diego Moussallem, Luís Paulo Faina Garcia, Renato Fileto:
OPTIC: A Deep Neural Network Approach for Entity Linking using Word and Knowledge Embeddings. ICEIS (1) 2020: 315-326 - [c8]Jáder M. C. de Sá, André L. D. Rossi, Gustavo E. A. P. A. Batista, Luís Paulo F. Garcia:
Algorithm Recommendation for Data Streams. ICPR 2020: 6073-6080
2010 – 2019
- 2019
- [j7]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): 107:1-107:34 (2019) - [j6]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: 693-704 (2019) - [c7]Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho:
The Influence of Sampling on Imbalanced Data Classification. BRACIS 2019: 210-215 - 2018
- [c6]Luís Paulo F. Garcia, Ana Carolina Lorena, Marcilio C. P. de Souto, Tin Kam Ho:
Classifier Recommendation Using Data Complexity Measures. ICPR 2018: 874-879 - [c5]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: 1-8 - [i2]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 abs/1808.03591 (2018) - [i1]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 abs/1808.10406 (2018) - 2017
- [j5]Pablo Morales-Álvarez, 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): 219 (2017) - 2016
- [b1]Luís Paulo Faina Garcia:
Detecção de ruídos em problemas de classificação. University of São Paulo, Brazil, 2016 - [j4]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): 1192-1216 (2016) - [j3]Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena:
Noise detection in the meta-learning level. Neurocomputing 176: 14-25 (2016) - 2015
- [j2]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: 108-119 (2015) - [j1]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: 153-164 (2015) - [c4]Ana Carolina Lorena, Luís Paulo Faina Garcia, André C. P. L. F. de Carvalho:
Adapting Noise Filters for Ranking. BRACIS 2015: 299-304 - 2013
- [c3]Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena:
Noisy Data Set Identification. HAIS 2013: 629-638 - 2012
- [c2]Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
A Study on Class Noise Detection and Elimination. SBRN 2012: 13-18
2000 – 2009
- 2009
- [c1]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: 417-424
Coauthor Index
aka: André Carlos Ponce de Leon Ferreira de Carvalho
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