Chelsea Reichert Plaska

Cognitive Neuroscience · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chelsea Reichert Plaska trusts overall

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

  1. Robert H. Logie
  2. Eric Maris
  3. Alan Baddeley
  4. Jianxiong Xiao
  5. Ole Jensen
  6. Robert Oostenveld
  7. James Hays
  8. Mark G. Stokes
  9. Georg Stenberg

Papers from Chelsea Reichert Plaska's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Histograms of oriented gradients for human detection
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers