Herna Lydia Viktor

2004

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Whom Herna Lydia Viktor trusts overall

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

1. Yoav Freund
2. M. Maloof
3. Robert E. Schapire
4. Nitesh V. Chawla
5. Nathalie Japkowicz
6. Thomas G. Dietterich

Who trusts Herna Lydia Viktor overall

1. Nitesh V. Chawla
2. Andrea Dal Pozzolo
3. Shuo Wang
4. Rukshan Batuwita
5. Benjamin X. Wang
6. Nathalie Japkowicz
7. Alberto Fernández
8. Yanmin Sun
9. Mateusz Buda
10. Xuchun Li

Papers from Herna Lydia Viktor's perspective

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

1. Experiments with a New Boosting Algorithm
2. SMOTE: Synthetic Minority Over-sampling Technique
3. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
4. Evaluating boosting algorithms to classify rare classes: comparison and improvements (Proceedings 2001 IEEE International Conference on Data Mining)
5. A decision-theoretic generalization of on-line learning and an application to boosting
6. Learning from Imbalanced Data Sets: A Comparison of Various Strategies *
7. Learning When Data Sets are Imbalanced and When Costs are Unequal and Unknown
8. SMOTEBoost: Improving Prediction of the Minority Class in Boosting
9. Fast Effective Rule Induction
10. UCI Repository of machine learning databases

Their papers

• Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach (2004) — 659 citations