P. J. García Nieto

Artificial Intelligence · IEEE transactions on power electronics · 2007–2019

A researcher in the Science corpus: 8 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom P. J. García Nieto trusts overall

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

  1. Christopher K. I. Williams
  2. Simon S. Haykin
  3. John Shawe-Taylor
  4. Ingo Steinwart
  5. Nello Cristianini
  6. Larry A. Wasserman
  7. Stuart Barber
  8. Vladimir Naumovich Vapnik
  9. Chih-Jen Lin
  10. Bernhard Schölkopf

Who trusts P. J. García Nieto overall

  1. Weiting Zhang
  2. Carlos Vidal
  3. Ephrem Chemali
  4. P. Kollmeyer
  5. Dong Yang
  6. Xiangbao Song
  7. Pawel Malysz

Papers from P. J. García Nieto's perspective

Ordered by how strongly the researchers P. J. García Nieto 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. Pattern Recognition and Machine Learning
  4. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. The Nature of Statistical Learning Theory
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers