Rok Blagus

Molecular Biology · 2013

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 9 citations into it
• Artificial Intelligence — 8 citations into it; #18,303 of 35,345 by trust here, #30,347 by citations

Whom Rok Blagus trusts overall

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

1. Niko Speybroeck
2. Tom Fawcett
3. Trevor J. Hastie
4. Nitesh V. Chawla
5. Corinna Cortes
6. C. Drummond
7. Robert Tibshirani
8. Jason Van Hulse
9. Hui Han
10. David A. Cieslak

Who trusts Rok Blagus overall

1. Brian Kenji Iwana
2. Alberto Fernández
3. Seiichi Uchida
4. Salvador Garcia
5. Francisco Herrera
6. Chakkrit Kla Tantithamthavorn

Papers from Rok Blagus's perspective

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

1. SMOTE: Synthetic Minority Over-sampling Technique
2. Support-Vector Networks
3. Random Forests
4. C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Bagging Predictors
8. Experimental perspectives on learning from imbalanced data (International Conference on Machine Learning)
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• SMOTE for high-dimensional class-imbalanced data (2013) — 1,106 citations