Yassine Himeur

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yassine Himeur trusts overall

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

  1. Fei Tony Liu
  2. Aleksandar Lazarevic
  3. Shinsaku Izumi
  4. Alex Krizhevsky
  5. Zhe Wang
  6. Kai Ming Ting
  7. Zhiyi Tang
  8. Dilip Ravi Kiran
  9. Mohammad Aazam
  10. Huiting Zheng

Papers from Yassine Himeur's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. GENERATIVE ADVERSARIAL NETS
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers