José Salvador Sánchez
Artificial Intelligence · 2003–2013
A researcher in the Science corpus: 5 papers; trusts 25 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it; #12,529 of 35,345 by trust here, #11,490 by citations
- Accounting — 11 citations into it; #7,612 of 8,970 by trust here, #6,194 by citations
- Information Systems — 7 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Statistics and Probability — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Statistical Learning Theory — 5 citations into it
Whom José Salvador Sánchez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Teuvo Kohonen
- Ricardo Barandela
- Kalyanmoy Deb
- Nathalie Japkowicz
- Andrew P. Bradley
- Jorma Laurikkala
- Songbo Tan
- Foster J. Provost
- David E. Goldberg
- John H. Holland
Who trusts José Salvador Sánchez overall
- Alberto Fernández
- Victoria López
- Yuan Jiang
- Salvador Garcia
- Francisco Herrera
- Mayank Kabra
- Cristóbal Romero
- Mikel Galar
- Zhi-Hua Zhou
- Dina Elreedy
Papers from José Salvador Sánchez's perspective
Ordered by how strongly the researchers José Salvador Sánchez trusts endorse each paper. Same corpus, a different order for every researcher.
- Pattern recognition : a statistical approach
- SMOTE: Synthetic Minority Over-sampling Technique
- The Condensed Nearest Neighbor Rule
- Nearest neighbor pattern classification
- The use of the area under the ROC curve in the evaluation of machine learning algorithms
- Robust Classification for Imprecise Environments
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- 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
Their papers
- On the effectiveness of preprocessing methods when dealing with different levels of class imbalance (2012) — 359 citations
- Analysis of new techniques to obtain quality training sets (2003) — 174 citations
- Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces (2006) — 77 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