Abdallah Moubayed

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Abdallah Moubayed trusts overall

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

  1. Jiawei Han
  2. Hyun Min Song
  3. Rakesh Agrawal
  4. Lei Yu
  5. S. Yadav
  6. Li Yang
  7. Bernhard Schölkopf
  8. Pierre Geurts
  9. Brent Komer
  10. Iman Sharafaldin

Who trusts Abdallah Moubayed overall

  1. Octavio Loyola-González

Papers from Abdallah Moubayed's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Scikit-learn: Machine Learning in Python
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers