Miriam A. M. Capretz

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Miriam A. M. Capretz trusts overall

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

  1. Muthu Dayalan
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Kaiming He
  5. Brian F. Cooper
  6. R. Cattell
  7. Xiao Liang
  8. Alexey Tsymbal
  9. Jaroslav Pokorný
  10. Yoshua Bengio

Papers from Miriam A. M. Capretz's perspective

Ordered by how strongly the researchers Miriam A. M. Capretz trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. A Fast Learning Algorithm for Deep Belief Nets

Their papers