Rengül Çetin-Atalay

Artificial Intelligence · 2008–2019

A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rengül Çetin-Atalay trusts overall

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

  1. Radhakrishna Achanta

Papers from Rengül Çetin-Atalay's perspective

Ordered by how strongly the researchers Rengül Çetin-Atalay 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Dropout: a simple way to prevent neural networks from overfitting
  9. Rectified Linear Units Improve Restricted Boltzmann Machines
  10. The Protein Data Bank.

Their papers