Dr. Luís Paulo F. Garcia

Dr. Luís Paulo F. Garcia left SDA. The profile below reflects the status at the point of his departure and is no longer updated.

Senior Researcher
Agile Knowledge Engineering and Semantic Web (AKSW)
University of Leipzig

Profiles: DBLP, Google Scholar, Github

Room P635
Augustusplatz 10, 04109 Leipzig

Short CV


Dr. Luís Paulo F. Garcia is a Senior Researcher at the University of Leipzig. Luís’s research interests are in the area of Data Mining and Machine Learning

Research Interests


  • Big Data
  • Data Mining
  • Machine Learning

Publications

2021

Oliveira, Italo Lopes; Fileto, Renato; Speck, René; 'i, Lu; Moussallem, Diego; Lehmann, Jens

Towards holistic Entity Linking: Survey and directions Journal Article

Inf. Syst., 95 , pp. 101624, 2021.

Links | BibTeX

Barella, Victor H; Garcia, Luís Paulo F; de Souto, Marcilio C P; Lorena, Ana Carolina; de Carvalho, André C P L F

Assessing the data complexity of imbalanced datasets Journal Article

Inf. Sci., 553 , pp. 83–109, 2021.

Links | BibTeX

2020

Oliveira, Italo Lopes; Moussallem, Diego; 'i, Lu; Fileto, Renato

OPTIC: A Deep Neural Network Approach for Entity Linking using Word and Knowledge Embeddings Inproceedings

Proceedings of the 22nd International Conference on Enterprise Information Systems, ICEIS 2020, Prague, Czech Republic, May 5-7, 2020, Volume 1, pp. 315–326, SCITEPRESS, 2020.

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Barella, Victor H; 'i, Lu; de Carvalho, André C P L F

Simulating Complexity Measures on Imbalanced Datasets Inproceedings

Intelligent Systems - 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part II, pp. 498–512, Springer, 2020.

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'i, Lu; Rivolli, Adriano; c c, Edesio Alcoba; Lorena, Ana Carolina; de Carvalho, André C P L F

Boosting meta-learning with simulated data complexity measures Journal Article

Intell. Data Anal., 24 (5), pp. 1011–1028, 2020.

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c c, Edesio Alcoba; Siqueira, Felipe; Rivolli, Adriano; 'i, Lu; Oliva, Jefferson Tales; de Carvalho, André C P L F

MFE: Towards reproducible meta-feature extraction Journal Article

J. Mach. Learn. Res., 21 , pp. 111:1–111:5, 2020.

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2019

Lorena, Ana Carolina; 'i, Lu; Lehmann, Jens; 'i, Marc; Ho, Tin Kam

How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity Journal Article

ACM Comput. Surv., 52 (5), pp. 107:1–107:34, 2019.

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'i, Lu; Lehmann, Jens; de Carvalho, André C P L F; Lorena, Ana Carolina

New label noise injection methods for the evaluation of noise filters Journal Article

Knowl. Based Syst., 163 , pp. 693–704, 2019.

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Barella, Victor H; Garcia, Luís Paulo F; de Carvalho, André C P L F

The Influence of Sampling on Imbalanced Data Classification Inproceedings

8th Brazilian Conference on Intelligent Systems, BRACIS 2019, Salvador, Brazil, October 15-18, 2019, pp. 210–215, IEEE, 2019.

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2018

'i, Lu; Lorena, Ana Carolina; de Souto, Marcilio C P; Ho, Tin Kam

Classifier Recommendation Using Data Complexity Measures Inproceedings

24th International Conference on Pattern Recognition, ICPR 2018, Beijing, China, August 20-24, 2018, pp. 874–879, IEEE Computer Society, 2018.

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Barella, Victor H; 'i, Lu; de Souto, Marcilio C P; Lorena, Ana Carolina; de Carvalho, André C P L F

Data Complexity Measures for Imbalanced Classification Tasks Inproceedings

2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018, pp. 1–8, IEEE, 2018.

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2017

Morales, Pablo; Luengo, Julián; 'i, Lu; Lorena, Ana Carolina; de Carvalho, André C P L F; Herrera, Francisco

The NoiseFiltersR Package: Label Noise Preprocessing in R Journal Article

R J., 9 (1), pp. 219, 2017.

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2016

'i, Lu; Lorena, Ana Carolina; Matwin, Stan; de de Carvalho, André Carlos Ponce Leon Ferreira

Ensembles of label noise filters: a ranking approach Journal Article

Data Min. Knowl. Discov., 30 (5), pp. 1192–1216, 2016.

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'i, Lu; de Carvalho, André C P L F; Lorena, Ana Carolina

Noise detection in the meta-learning level Journal Article

Neurocomputing, 176 , pp. 14–25, 2016.

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'i, Lu

Detecc cão de ru'idos em problemas de classificac cão PhD Thesis

University of São Paulo, Brazil, 2016.

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2015

Lorena, Ana Carolina; 'i, Lu; de Carvalho, André C P L F

Adapting Noise Filters for Ranking Inproceedings

2015 Brazilian Conference on Intelligent Systems, BRACIS 2015, Natal, Brazil, November 4-7, 2015, pp. 299–304, IEEE Computer Society, 2015.

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'i, Lu; de Carvalho, André C P L F; Lorena, Ana Carolina

Effect of label noise in the complexity of classification problems Journal Article

Neurocomputing, 160 , pp. 108–119, 2015.

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'i, Lu; Sáez, José A; Luengo, Julián; Lorena, Ana Carolina; de Carvalho, André C P L F; Herrera, Francisco

Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems Journal Article

Knowl. Based Syst., 90 , pp. 153–164, 2015.

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2013

Hybrid Artificial Intelligent Systems - 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013. Proceedings Proceeding

Springer, 8073 , 2013, ISBN: 978-3-642-40845-8.

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'i, Lu; de Carvalho, André C P L F; Lorena, Ana Carolina

Noisy Data Set Identification Inproceedings

Hybrid Artificial Intelligent Systems - 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013. Proceedings, pp. 629–638, Springer, 2013.

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2012

2012 Brazilian Symposium on Neural Networks, Curitiba, Paraná, Brazil, October 20-25, 2012 Proceeding

IEEE Computer Society, 2012, ISBN: 978-1-4673-2641-4.

BibTeX

'i, Lu; Lorena, Ana Carolina; de Carvalho, André C P L F

A Study on Class Noise Detection and Elimination Inproceedings

2012 Brazilian Symposium on Neural Networks, Curitiba, Paraná, Brazil, October 20-25, 2012, pp. 13–18, IEEE Computer Society, 2012.

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2009

Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings Proceeding

Springer, 5572 , 2009, ISBN: 978-3-642-02318-7.

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Miranda, André L B; 'i, Lu; de Carvalho, André C P L F; Lorena, Ana Carolina

Use of Classification Algorithms in Noise Detection and Elimination Inproceedings

Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, pp. 417–424, Springer, 2009.

Links | BibTeX