Sven Krasser

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #21,261 of 35,345 by trust here, #16,166 by citations

Whom Sven Krasser trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chih-Jen Lin

Who trusts Sven Krasser overall

1. Kush R. Varshney

Papers from Sven Krasser's perspective

Ordered by how strongly the researchers Sven Krasser trusts endorse each paper. Same corpus, a different order for every researcher.

1. SMOTE: Synthetic Minority Over-sampling Technique
2. The use of the area under the ROC curve in the evaluation of machine learning algorithms
3. LIBSVM: A library for support vector machines
4. A Tutorial on Support Vector Machines for Pattern Recognition
5. Extreme re-balancing for SVMs: a case study
6. The relationship between Precision-Recall and ROC curves
7. Efficient Support Vector Classifiers for Named Entity Recognition (International Conference on Computational Linguistics)
8. KBA: kernel boundary alignment considering imbalanced data distribution (IEEE Transactions on Knowledge and Data Engineering)
9. Granular computing: an introduction (Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569))
10. Mining with rarity: a unifying framework

Their papers

• SVMs Modeling for Highly Imbalanced Classification (2009) — 968 citations