Vicente García
Artificial Intelligence · 2003–2013
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #12,894 of 35,345 by trust here, #14,438 by citations
- Accounting — 11 citations into it; #7,610 of 8,970 by trust here, #6,194 by citations
- Information Systems — 7 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Vicente García trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nathalie Japkowicz
- Andrew P. Bradley
- Jorma Laurikkala
- Songbo Tan
- Kalyanmoy Deb
- Foster J. Provost
- Salvador Garcia
- David E. Goldberg
- Marina Sokolova
- Zhaohui Zheng
Who trusts Vicente García overall
- Alberto Fernández
- Victoria López
- Francisco Herrera
- Mikel Galar
- Francisco Charte
- M. J. Jesús
- Cristóbal Romero
- Salvador Garcia
- Jie Sun
- Lida Abdi
Papers from Vicente García's perspective
Ordered by how strongly the researchers Vicente García trusts endorse each paper. Same corpus, a different order for every researcher.
- SMOTE: Synthetic Minority Over-sampling Technique
- The use of the area under the ROC curve in the evaluation of machine learning algorithms
- Robust Classification for Imprecise Environments
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Wrappers for Feature Subset Selection
- The class imbalance problem: A systematic study
- Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
- Genetic Algorithms in Search Optimization and Machine Learning
- An Introduction to Variable and Feature Selection
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- On the effectiveness of preprocessing methods when dealing with different levels of class imbalance (2012) — 359 citations
- A literature review on the application of evolutionary computing to credit scoring (2013) — 106 citations
- Strategies for learning in class imbalance problems (2003) — 605 citations