Ramón Alberto Mollineda
Artificial Intelligence · 2012
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #30,284 of 35,345 by trust here, #28,481 by citations
- Information Systems — 5 citations into it
Whom Ramón Alberto Mollineda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ramón Alberto Mollineda overall
Papers from Ramón Alberto Mollineda's perspective
Ordered by how strongly the researchers Ramón Alberto Mollineda 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
- Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
- The class imbalance problem: A systematic study
- Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation (Australian Conference on Artificial Intelligence)
- Using AUC and accuracy in evaluating learning algorithms (IEEE Transactions on Knowledge and Data Engineering)
- SMOTEBoost: Improving Prediction of the Minority Class in Boosting
- Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
- Feature selection for text categorization on imbalanced data (SKDD)