Christin Schäfer

Artificial Intelligence · 2004–2006

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #14,914 of 35,345 by trust here, #25,040 by citations
• Statistical Learning Theory — 8 citations into it

Whom Christin Schäfer trusts overall

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

1. Vladimir Naumovich Vapnik
2. Vladimir Naumovich Vapni
3. Bernhard Schölkopf
4. Thorsten Joachims
5. Alex Smola
6. Gert R. G. Lanckriet
7. Francis R. Bach
8. R. Meir
9. Jesse Davis

Who trusts Christin Schäfer overall

1. Marius Kloft
2. Pavel Laskov
3. Konrad Rieck
4. Emilio Carrizosa
5. Chang Xu
6. Francis R. Bach
7. Sutharshan Rajasegarar
8. Alain Rakotomamonjy
9. Hua Wang
10. Christoph H. Lampert

Papers from Christin Schäfer's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. The Nature of Statistical Learning Theory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Support-Vector Networks
7. Statistical learning theory
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines (2004) — 132 citations
• Large Scale Multiple Kernel Learning (2006) — 1,427 citations