Zach Jorgensen

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Zach Jorgensen trusts overall

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

1. Daniel Lowd
2. Sally A. Goldman
3. Tom Fawcett
4. Oded Maron
5. Christopher Meek
6. Jun Wang
7. Yixin Chen
8. Stuart Andrews
9. Thomas Gärtner
10. Ashraf M. Kibriya

Who trusts Zach Jorgensen overall

1. Zhi-Hua Zhou
2. Battista Biggio
3. Giorgio Fumera
4. Fabio Roli
5. Min-Ling Zhang
6. Fei Zhang
7. Thiago S. Guzella

Papers from Zach Jorgensen's perspective

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

1. Solving the Multiple Instance Problem with Axis-Parallel Rectangles
2. A Framework for Multiple-Instance Learning
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. EM-DD: An Improved Multiple-Instance Learning Technique (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Adversarial learning

Their papers

• A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters (2008) — 75 citations