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 The profile below reflects the status at the point of his departure and is no longer updated.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
2022
Meta-features for meta-learning Journal Article
In: Knowl. Based Syst., vol. 240, pp. 108101, 2022.
2021
Evaluating Clustering Meta-features for Classifier Recommendation Inproceedings
In: Intelligent Systems - 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 - December 3, 2021, Proceedings, Part I, pp. 453–467, Springer, 2021.
A Study of the Correlation of Metafeatures Used for Metalearning Inproceedings
In: Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I, pp. 471–483, Springer, 2021.
Towards holistic Entity Linking: Survey and directions Journal Article
In: Inf. Syst., vol. 95, pp. 101624, 2021.
Assessing the data complexity of imbalanced datasets Journal Article
In: Inf. Sci., vol. 553, pp. 83–109, 2021.
2020
Simulating Complexity Measures on Imbalanced Datasets Inproceedings
In: Intelligent Systems - 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part II, pp. 498–512, Springer, 2020.
OPTIC: A Deep Neural Network Approach for Entity Linking using Word and Knowledge Embeddings Inproceedings
In: 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.
Algorithm Recommendation for Data Streams Inproceedings
In: 25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021, pp. 6073–6080, IEEE, 2020.
Boosting meta-learning with simulated data complexity measures Journal Article
In: Intell. Data Anal., vol. 24, no. 5, pp. 1011–1028, 2020.
MFE: Towards reproducible meta-feature extraction Journal Article
In: J. Mach. Learn. Res., vol. 21, pp. 111:1–111:5, 2020.
2019
The Influence of Sampling on Imbalanced Data Classification Inproceedings
In: 8th Brazilian Conference on Intelligent Systems, BRACIS 2019, Salvador, Brazil, October 15-18, 2019, pp. 210–215, IEEE, 2019.
How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity Journal Article
In: ACM Comput. Surv., vol. 52, no. 5, pp. 107:1–107:34, 2019.
New label noise injection methods for the evaluation of noise filters Journal Article
In: Knowl. Based Syst., vol. 163, pp. 693–704, 2019.
2018
Classifier Recommendation Using Data Complexity Measures Inproceedings
In: 24th International Conference on Pattern Recognition, ICPR 2018, Beijing, China, August 20-24, 2018, pp. 874–879, IEEE Computer Society, 2018.
Data Complexity Measures for Imbalanced Classification Tasks Inproceedings
In: 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018, pp. 1–8, IEEE, 2018.
2017
The NoiseFiltersR Package: Label Noise Preprocessing in R Journal Article
In: R J., vol. 9, no. 1, pp. 219, 2017.
2016
Ensembles of label noise filters: a ranking approach Journal Article
In: Data Min. Knowl. Discov., vol. 30, no. 5, pp. 1192–1216, 2016.
Noise detection in the meta-learning level Journal Article
In: Neurocomputing, vol. 176, pp. 14–25, 2016.
Detecc c~ao de ru'idos em problemas de classificac c~ao PhD Thesis
University of S~ao Paulo, Brazil, 2016.
Detecc c~ao de ru'idos em problemas de classificac c~ao PhD Thesis
University of S~ao Paulo, Brazil, 2016.
2015
Adapting Noise Filters for Ranking Inproceedings
In: 2015 Brazilian Conference on Intelligent Systems, BRACIS 2015, Natal, Brazil, November 4-7, 2015, pp. 299–304, IEEE Computer Society, 2015.
Effect of label noise in the complexity of classification problems Journal Article
In: Neurocomputing, vol. 160, pp. 108–119, 2015.
In: Knowl. Based Syst., vol. 90, pp. 153–164, 2015.
2013
Noisy Data Set Identification Inproceedings
In: Hybrid Artificial Intelligent Systems - 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013. Proceedings, pp. 629–638, Springer, 2013.
2012
A Study on Class Noise Detection and Elimination Inproceedings
In: 2012 Brazilian Symposium on Neural Networks, Curitiba, Paraná, Brazil, October 20-25, 2012, pp. 13–18, IEEE Computer Society, 2012.
2009
Use of Classification Algorithms in Noise Detection and Elimination Inproceedings
In: Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, pp. 417–424, Springer, 2009.