Sebastián Ventura

Artificial Intelligence · 2007–2020

A researcher in the Science corpus: 15 papers; trusts 71 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Sebastián Ventura trusts overall

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

  1. Cristóbal Romero
  2. J. Ross Quinlan
  3. Osmar R Zaiane
  4. Ryan Shaun Joazeiro de Baker
  5. George Siemens
  6. Jesse Read
  7. Chih-Jen Lin
  8. Xin Yao
  9. Albert T. Corbett
  10. Min-Ling Zhang

Who trusts Sebastián Ventura overall

  1. Cristóbal Romero
  2. Z. Papamitsiou
  3. Ben Kai Daniel
  4. Wu He
  5. Á. F. Agudo-Peregrina
  6. Ashish Dutt
  7. Mohamed Amine Chatti
  8. Francisco Herrera
  9. Pedro G. Espejo
  10. Rebecca Ferguson

Papers from Sebastián Ventura's perspective

Ordered by how strongly the researchers Sebastián Ventura 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. 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. 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