Maciej Ziȩba
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
Whom Maciej Ziȩba trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rie Johnson
- Jerome H. Friedman
- Kyung-shik Shin
- Ruibin Geng
- Leo Breiman
- Tong Zhang
- J. Ross Quinlan
- William W. Cohen
- Indranil Bose
- Taik Soo Lee
Who trusts Maciej Ziȩba overall
Papers from Maciej Ziȩba's perspective
Ordered by how strongly the researchers Maciej Ziȩba trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Support-Vector Networks
- Greedy function approximation: A gradient boosting machine.
- The Nature of Statistical Learning Theory
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- C4.5: Programs for Machine Learning
- Stochastic gradient boosting
- Going deeper with convolutions