Václav Snásel

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 60 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Václav Snásel trusts overall

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

  1. Xin-She Yang
  2. Geoffrey E. Hinton
  3. Risto Miikkulainen
  4. Xin Yao
  5. Scott E. Fahlman
  6. J. Urgen Schmidhuber
  7. Leo Breiman
  8. David E. Rumelhart
  9. Robert E. Schapire
  10. Simon S. Haykin

Who trusts Václav Snásel overall

  1. Andrés Camero
  2. Enrique Alba

Papers from Václav Snásel's perspective

Ordered by how strongly the researchers Václav Snásel 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. A Fast Learning Algorithm for Deep Belief Nets
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers