Sakir Sezer

Computer Networks and Communications · 2013–2019

A researcher in the Science corpus: 6 papers; trusts 28 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sakir Sezer trusts overall

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

  1. Ehab S. Al-Shaer
  2. Seungwon Shin
  3. Rodrigo Braga
  4. Yashar Ganjali
  5. Zhenlong Yuan
  6. Nick McKeown
  7. Martín Casado
  8. Phillip A. Porras
  9. Geoffrey E. Hinton
  10. Peyman Kazemian

Who trusts Sakir Sezer overall

  1. Ijaz Ahmad
  2. Sandra Scott-Hayward
  3. Danda B. Rawat

Papers from Sakir Sezer's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. Dropout: a simple way to prevent neural networks from overfitting
  3. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. ImageNet classification with deep convolutional neural networks
  5. OpenFlow: enabling innovation in campus networks (CCRV)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Neural Networks for Pattern Recognition

Their papers