Fábio Pinto

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fábio Pinto trusts overall

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

  1. João Gama
  2. Jianhua Lin
  3. Albert Bifet
  4. Ted Dunning
  5. Matthias Feurer
  6. Corinna Cortes
  7. Lars Kotthoff
  8. Aaron Klein
  9. Hector Mendoza
  10. D. Golovin

Papers from Fábio Pinto's perspective

Ordered by how strongly the researchers Fábio Pinto 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. Scikit-learn: Machine Learning in Python
  6. Practical Bayesian Optimization of Machine Learning Algorithms
  7. Learning Multiple Layers of Features from Tiny Images
  8. Going deeper with convolutions
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers