Francisco Charte

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 101 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Francisco Charte trusts overall

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

  1. Geoffrey E. Hinton
  2. Min-Ling Zhang
  3. Grigorios Tsoumakas
  4. Yoshua Bengio
  5. Andre´ Elisseeff
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Zhi-Hua Zhou
  9. Jason Aaron Edward Weston
  10. Eyke Hüllermeier

Who trusts Francisco Charte overall

  1. Salvador Garcia
  2. Francisco Herrera
  3. Harsurinder Kaur
  4. Min-Ling Zhang
  5. Alberto Fernández
  6. Sergio Ramírez-Gallego
  7. Steven Y. Feng
  8. Paula Branco
  9. Antonio Jesús Rivera
  10. Julián Luengo

Papers from Francisco Charte's perspective

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

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

Their papers