Michael Wasikowski

Artificial Intelligence · 2010

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #13,997 of 35,345 by trust here, #23,731 by citations

Whom Michael Wasikowski trusts overall

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

1. Nitesh V. Chawla
2. Igor Kononenko
3. George Forman
4. Franccois Fleuret
5. Daphne Koller
6. Jason Van Hulse
7. Yanmin Sun
8. Zhaohui Zheng
9. Hanchuan Peng
10. Charles Peter Elkan

Who trusts Michael Wasikowski overall

1. Rushi Longadge
2. Aida Ali
3. Sebastián Maldonado
4. Alberto Fernández
5. Snehalata Dongre
6. Siti Mariyam Hj. Shamsuddin
7. Victoria López
8. Richard Weber
9. Anca L. Ralescu
10. Fazel Famili

Papers from Michael Wasikowski's perspective

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

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. SMOTE: Synthetic Minority Over-sampling Technique

Their papers

• Combating the Small Sample Class Imbalance Problem Using Feature Selection (2010) — 394 citations