Use of Classification Algorithms in Noise Detection and Elimination. - André L. B. Miranda; Luís Paulo F. Garcia; André C. P. L. F. de Carvalho; Ana Carolina Lorena (HAIS, 2009)

A Study on Class Noise Detection and Elimination. - Luís Paulo F. Garcia; Ana Carolina Lorena; André C. P. L. F. de Carvalho (SBRN, 2012)

Noisy Data Set Identification. - Luís Paulo F. Garcia; André C. P. L. F. de Carvalho; Ana Carolina Lorena (HAIS, 2013)

Adapting Noise Filters for Ranking. - Ana Carolina Lorena; Luís Paulo Faina Garcia; André C. P. L. F. de Carvalho (BRACIS, 2015)

Effect of label noise in the complexity of classification problems. - Luís Paulo F. Garcia; André C. P. L. F. de Carvalho; Ana Carolina Lorena (Neurocomputing, 2015)

Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. - Luís Paulo F. Garcia; José A. Sáez; Julián Luengo; Ana Carolina Lorena; André C. P. L. F. de Carvalho; Francisco Herrera (Knowl. Based Syst., 2015)

Ensembles of label noise filters: a ranking approach. - Luís Paulo F. Garcia; Ana Carolina Lorena; Stan Matwin; André Carlos Ponce de Leon Ferreira de Carvalho (Data Min. Knowl. Discov., 2016)

Noise detection in the meta-learning level. - Luís Paulo F. Garcia; André C. P. L. F. de Carvalho; Ana Carolina Lorena (Neurocomputing, 2016)

Detecção de ruídos em problemas de classificação. - Luís Paulo Faina Garcia (2016)

The NoiseFiltersR Package: Label Noise Preprocessing in R. - Pablo Morales-Álvarez; Julián Luengo; Luís Paulo F. Garcia; Ana Carolina Lorena; André C. P. L. F. de Carvalho; Francisco Herrera (R J., 2017)

Classifier Recommendation Using Data Complexity Measures. - Luís Paulo F. Garcia; Ana Carolina Lorena; Marcilio C. P. de Souto; Tin Kam Ho (ICPR, 2018)

Data Complexity Measures for Imbalanced Classification Tasks. - Victor H. Barella; Luís Paulo F. Garcia; Marcilio C. P. de Souto; Ana Carolina Lorena; André C. P. L. F. de Carvalho (IJCNN, 2018)

Towards Reproducible Empirical Research in Meta-Learning. - Adriano Rivolli; Luís Paulo F. Garcia; Carlos Soares; Joaquin Vanschoren; André C. P. L. F. de Carvalho (CoRR, 2018)

The Influence of Sampling on Imbalanced Data Classification. - Victor H. Barella; Luís Paulo F. Garcia; André C. P. L. F. de Carvalho (BRACIS, 2019)

How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity. - Ana Carolina Lorena; Luís Paulo F. Garcia; Jens Lehmann 001; Marcílio Carlos Pereira de Souto; Tin Kam Ho (ACM Comput. Surv., 2019)

New label noise injection methods for the evaluation of noise filters. - Luís Paulo F. Garcia; Jens Lehmann 001; André C. P. L. F. de Carvalho; Ana Carolina Lorena (Knowl. Based Syst., 2019)

Simulating Complexity Measures on Imbalanced Datasets. - Victor H. Barella; Luís Paulo F. Garcia; André C. P. L. F. de Carvalho (BRACIS (2), 2020)

OPTIC: A Deep Neural Network Approach for Entity Linking using Word and Knowledge Embeddings. - Italo Lopes Oliveira; Diego Moussallem; Luís Paulo Faina Garcia; Renato Fileto (ICEIS (1), 2020)

Algorithm Recommendation for Data Streams. - Jáder M. C. de Sá; André L. D. Rossi; Gustavo E. A. P. A. Batista; Luís Paulo F. Garcia (ICPR, 2020)

Boosting meta-learning with simulated data complexity measures. - Luís Paulo F. Garcia; Adriano Rivolli; Edesio Alcobaça; Ana Carolina Lorena; André C. P. L. F. de Carvalho (Intell. Data Anal., 2020)

MFE: Towards reproducible meta-feature extraction. - Edesio Alcobaça; Felipe Siqueira; Adriano Rivolli; Luís Paulo F. Garcia; Jefferson Tales Oliva; André C. P. L. F. de Carvalho (J. Mach. Learn. Res., 2020)

Evaluating Clustering Meta-features for Classifier Recommendation. - Luís Paulo F. Garcia; Felipe Campelo; Guilherme Novaes Ramos; Adriano Rivolli; André C. P. L. F. de Carvalho (BRACIS (1), 2021)

A Study of the Correlation of Metafeatures Used for Metalearning. - Adriano Rivolli; Luís Paulo F. Garcia; Ana Carolina Lorena; André C. P. L. F. de Carvalho (IWANN (1), 2021)

An Anomaly-based Multi-class Classifier for Network Intrusion Detection. - Manuela M. C. de Souza; Camila F. T. Pontes; João J. C. Gondim; Luís Paulo F. Garcia; Luiz A. DaSilva; Marcelo Antonio Marotta (CoRR, 2021)

Towards holistic Entity Linking: Survey and directions. - Italo Lopes Oliveira; Renato Fileto; René Speck; Luís Paulo F. Garcia; Diego Moussallem; Jens Lehmann 001 (Inf. Syst., 2021)

Assessing the data complexity of imbalanced datasets. - Victor H. Barella; Luís Paulo F. Garcia; Marcilio C. P. de Souto; Ana Carolina Lorena; André C. P. L. F. de Carvalho (Inf. Sci., 2021)

Meta-features for meta-learning. - Adriano Rivolli; Luís Paulo F. Garcia; Carlos Soares; Joaquin Vanschoren; André C. P. L. F. de Carvalho (Knowl. Based Syst., 2022)

Financial Distress Prediction in an Imbalanced Data Stream Environment. - Rubens Marques Chaves; André Luis Debiaso Rossi; Luís Paulo Faina Garcia (HAIS, 2023)

Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection. - Fernanda A. Melo; André C. P. L. F. de Carvalho; Ana Carolina Lorena; Luís Paulo F. Garcia (HAIS, 2023)

Applying One-Class Algorithms for Data Stream-Based Insider Threat Detection. - Rafael Bruno Peccatiello; João José Costa Gondim; Luís Paulo Faina Garcia (IEEE Access, 2023)

Neural architecture search with interpretable meta-features and fast predictors. - Gean Trindade Pereira; Iury Batista de Andrade Santos; Luís Paulo F. Garcia; Thierry Urruty; Muriel Visani; André C. P. L. F. de Carvalho (Inf. Sci., 2023)

A review on preprocessing algorithm selection with meta-learning. - Pedro B. Pio; Adriano Rivolli; André C. P. L. F. de Carvalho; Luís Paulo F. Garcia (Knowl. Inf. Syst., 2024)

DODFMiner: An automated tool for Named Entity Recognition from Official Gazettes. - Gabriel M. C. Guimarães; Felipe X. B. da Silva; Andrei L. Queiroz; Ricardo M. Marcacini; Thiago de Paulo Faleiros; Vinicius R. P. Borges; Luís Paulo Faina Garcia (Neurocomputing, 2024)

Hierarchical Article Classification: A Multi-Level Framework for Organizing Scholarly Literature. - Luís Paulo F. Garcia; Jesús P. Mena-Chalco; Rafaela L. Grando; Waldeyr Mendes Cordeiro da Silva; Felipe Pontes Guimarães; Vanessa de A. Jorge (IEEE Access, 2025)

A novel open set Energy-based Flow Classifier for Network Intrusion Detection. - Manuela M. C. de Souza; Camila F. T. Pontes; João J. C. Gondim; Luís Paulo Faina Garcia; Luiz A. DaSilva; Eduardo F. M. Cavalcante; Marcelo Antonio Marotta (Comput. Secur., 2025)