Kassem Kallas

International Conference on Information Photonics · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Kassem Kallas trusts overall

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

  1. Pierre Sermanet
  2. Yann LeCun
  3. Sebastian Houben
  4. Yingqi Liu

Who trusts Kassem Kallas overall

  1. Yige Li
  2. Yunfei Liu
  3. Khoa D Doan

Papers from Kassem Kallas's perspective

Ordered by how strongly the researchers Kassem Kallas 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Traffic sign recognition with multi-scale Convolutional Networks
  6. Learning Multiple Layers of Features from Tiny Images
  7. Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization
  8. BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers