Luís Paulo F. Garcia

32 papers B 3Misc 3Journal 18Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
Generative SLMs Meet Brazilian Legal Documents: Efficient NER via LoRA Fine-Tuning.
BRACIS (1)
Matheus S. V. Oliveira, Pedro B. Pio, Luís Paulo F. Garcia
2025 — conf
GraphRAG on Electronic Health Record: A Knowledge Graph-Enhanced RAG Approach for Healthcare Information Access.
BRACIS (1)
João V. R. Baptista, Luís Paulo F. Garcia
2025 — conf
Hardness Sampling: Exploring Instance Hardness in Pool-Based Active Learning.
BRACIS (2)
Gabriel da S. C. Nogueira, Davi P. dos Santos, André C. P. L. F. de Carvalho, Luís Paulo F. Garcia
2025 J jnl
Hierarchical Article Classification: A Multi-Level Framework for Organizing Scholarly Literature.
IEEE Access
Luís Paulo F. Garcia, Jesús P. Mena-Chalco, Rafaela L. Grando, Waldeyr Mendes Cordeiro da Silva, Felipe Pontes Guimarães, Vanessa de A. Jorge
2024 J jnl
A review on preprocessing algorithm selection with meta-learning.
Knowl. Inf. Syst.
Pedro B. Pio, Adriano Rivolli, André C. P. L. F. de Carvalho, Luís Paulo F. Garcia
2023 Misc conf
Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection.
HAIS
Fernanda A. Melo, André C. P. L. F. de Carvalho, Ana Carolina Lorena, Luís Paulo F. Garcia
2023 J jnl
Neural architecture search with interpretable meta-features and fast predictors.
Inf. Sci.
Gean Trindade Pereira, Iury Batista de Andrade Santos, Luís Paulo F. Garcia, Thierry Urruty, Muriel Visani, André C. P. L. F. de Carvalho
2022 J jnl
Meta-features for meta-learning.
Knowl. Based Syst.
Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2021 — conf
A Study of the Correlation of Metafeatures Used for Metalearning.
IWANN (1)
Adriano Rivolli, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2021 J jnl
An Anomaly-based Multi-class Classifier for Network Intrusion Detection.
CoRR
Manuela M. C. de Souza, Camila F. T. Pontes, João J. C. Gondim, Luís Paulo F. Garcia, Luiz A. DaSilva, Marcelo Antonio Marotta
2021 J jnl
Assessing the data complexity of imbalanced datasets.
Inf. Sci.
Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2021 — conf
Evaluating Clustering Meta-features for Classifier Recommendation.
BRACIS (1)
Luís Paulo F. Garcia, Felipe Campelo, Guilherme Novaes Ramos, Adriano Rivolli, André C. P. L. F. de Carvalho
2021 J jnl
Towards holistic Entity Linking: Survey and directions.
Inf. Syst.
Italo Lopes Oliveira, Renato Fileto, René Speck, Luís Paulo F. Garcia, Diego Moussallem, Jens Lehmann
2020 B conf
Algorithm Recommendation for Data Streams.
ICPR
Jáder M. C. de Sá, André L. D. Rossi, Gustavo E. A. P. A. Batista, Luís Paulo F. Garcia
2020 J jnl
Boosting meta-learning with simulated data complexity measures.
Intell. Data Anal.
Luís Paulo F. Garcia, Adriano Rivolli, Edesio Alcobaça, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2020 J jnl
MFE: Towards reproducible meta-feature extraction.
J. Mach. Learn. Res.
Edesio Alcobaça, Felipe Siqueira, Adriano Rivolli, Luís Paulo F. Garcia, Jefferson Tales Oliva, André C. P. L. F. de Carvalho
2020 — conf
Simulating Complexity Measures on Imbalanced Datasets.
BRACIS (2)
Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho
2019 J jnl
How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity.
ACM Comput. Surv.
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcílio Carlos Pereira de Souto, Tin Kam Ho
2019 J jnl
New label noise injection methods for the evaluation of noise filters.
Knowl. Based Syst.
Luís Paulo F. Garcia, Jens Lehmann, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2019 — conf
The Influence of Sampling on Imbalanced Data Classification.
BRACIS
Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho
2018 B conf
Classifier Recommendation Using Data Complexity Measures.
ICPR
Luís Paulo F. Garcia, Ana Carolina Lorena, Marcilio C. P. de Souto, Tin Kam Ho
2018 B conf
Data Complexity Measures for Imbalanced Classification Tasks.
IJCNN
Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2018 J jnl
How Complex is your classification problem? A survey on measuring classification complexity.
CoRR
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcilio C. P. de Souto, Tin Kam Ho
2018 J jnl
Towards Reproducible Empirical Research in Meta-Learning.
CoRR
Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2017 J jnl
The NoiseFiltersR Package: Label Noise Preprocessing in R.
R J.
Pablo Morales-Álvarez, Julián Luengo, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera
2016 J jnl
Ensembles of label noise filters: a ranking approach.
Data Min. Knowl. Discov.
Luís Paulo F. Garcia, Ana Carolina Lorena, Stan Matwin, André Carlos Ponce de Leon Ferreira de Carvalho
2016 J jnl
Noise detection in the meta-learning level.
Neurocomputing
Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2015 J jnl
Effect of label noise in the complexity of classification problems.
Neurocomputing
Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2015 J jnl
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.
Luís Paulo F. Garcia, José A. Sáez, Julián Luengo, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera
2013 Misc conf
Noisy Data Set Identification.
HAIS
Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2012 — conf
A Study on Class Noise Detection and Elimination.
SBRN
Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2009 Misc conf
Use of Classification Algorithms in Noise Detection and Elimination.
HAIS
André L. B. Miranda, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena