Dr. Luís Paulo F. Garcia left SDA. The profile below reflects the status at the point of his departure and is no longer updated.
![](https://sda.tech/wp-content/uploads/2017/03/luis.jpg)
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
In: Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, pp. 417–424, Springer, 2009.