Burak Kantarci

Artificial Intelligence · 2015–2020

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

Subfields

Whom Burak Kantarci trusts overall

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

  1. H. Brendan McMahan
  2. Takayuki Nishio
  3. Solmaz Niknam
  4. Jiawen Kang
  5. Tian Li

Papers from Burak Kantarci's perspective

Ordered by how strongly the researchers Burak Kantarci 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. Deep Learning
  4. Communication-Efficient Learning of Deep Networks from Decentralized Data
  5. ImageNet classification with deep convolutional neural networks
  6. Learning Multiple Layers of Features from Tiny Images
  7. Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers