Benjamin X. Wang

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #15,283 of 35,345 by trust here, #23,731 by citations

Whom Benjamin X. Wang trusts overall

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

1. Chao Chen
2. Yoav Freund
3. Robert E. Schapire
4. Hongyu Guo
5. Nitesh V. Chawla
6. Gary M. Weiss
7. Vladimir Naumovich Vapni
8. Herna Lydia Viktor
9. Pedro M. Domingos
10. Nathalie Japkowicz

Who trusts Benjamin X. Wang overall

1. Haibo He
2. Nguyen Thai-Nghe
3. Salman Hameed Khan
4. Faisal Kamiran
5. Edwardo A. Garcia
6. Clayton D. Scott
7. Zeno Gantner
8. Munawar Hayat
9. Lars Schmidt-Thieme
10. Toon Calders

Papers from Benjamin X. Wang's perspective

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

1. SMOTE: Synthetic Minority Over-sampling Technique
2. The Nature of Statistical Learning Theory
3. A decision-theoretic generalization of on-line learning and an application to boosting
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. MetaCost: a general method for making classifiers cost-sensitive
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Statistical Comparisons of Classifiers over Multiple Data Sets
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Boosting support vector machines for imbalanced data sets (2008) — 352 citations