Mohammad R. Arbabshirani

Cognitive Neuroscience · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad R. Arbabshirani trusts overall

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

  1. Radford M. Neal
  2. Andrew Y. Ng
  3. Vince D. Calhoun
  4. Cynthia Dwork
  5. Trevor J. Hastie
  6. Yoshua Bengio
  7. Dave Collingridge
  8. Isabelle M Guyon
  9. Ross B. Girshick
  10. Avrim Blum

Who trusts Mohammad R. Arbabshirani overall

  1. Ender Konukoglu
  2. Danilo Bzdok
  3. Andrius Vabalas
  4. Jiamin Yin
  5. Kamalaker Dadi
  6. Ben Glocker
  7. Gaël Varoquaux
  8. Andreas Meyer-Lindenberg
  9. Martin J. Willemink
  10. Emma Gowen

Papers from Mohammad R. Arbabshirani's perspective

Ordered by how strongly the researchers Mohammad R. Arbabshirani 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers