Wolfgang Banzhaf

Artificial Intelligence · 1997–2018

A researcher in the Science corpus: 9 papers; trusts 157 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

Whom Wolfgang Banzhaf trusts overall

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

  1. John R. Koza
  2. R. Fisher
  3. Dan A. Simovici
  4. Michael Tomasello
  5. John H. Holland
  6. David E. Goldberg
  7. Roger N. Shepard
  8. James Cannady
  9. Conor Ryan
  10. Susan M. Bridges

Who trusts Wolfgang Banzhaf overall

  1. Marc-André Zöller
  2. Randal S. Olson
  3. Lee Spector
  4. Marco F. Huber
  5. Amir H. Gandomi
  6. Jason H. Moore
  7. Amir Hossein Alavi
  8. Pedro G. Espejo
  9. Zhiwei Fu
  10. Lukas Tuggener

Papers from Wolfgang Banzhaf's perspective

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

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

Their papers