Bruno Costa

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Bruno Costa trusts overall

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

  1. Plamen Parvanov Angelov
  2. Sergio Pirozzoli
  3. Andrew K. Henrick
  4. David J. Hill
  5. Dinshaw S. Balsara
  6. Martin Treiber
  7. Tariq D. Aslam
  8. Diederik P. Kingma
  9. Chi-Wang Shu
  10. Dale I. Pullin

Who trusts Bruno Costa overall

  1. Wu Xiaoshuai
  2. Zhao Yuxin
  3. Marcos Castro
  4. Xiaoshuai Wu
  5. Xiangyu Y. Hu
  6. Eduardo Almeida Soares
  7. Dinshaw S. Balsara
  8. Yiqing Shen

Papers from Bruno Costa's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers