Ana Carolina Lorena

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ana Carolina Lorena trusts overall

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

  1. Eric D. Kolaczyk
  2. K. Smith‐Miles
  3. John C. Gower
  4. Tin Kam Ho
  5. Nello Cristianini
  6. Haibo He
  7. Benoît Frénay
  8. S. Kotsiantis
  9. Alberto Fernández
  10. Xiaojin Zhu

Who trusts Ana Carolina Lorena overall

  1. Marc Masana
  2. Bartłomiej Twardowski

Papers from Ana Carolina Lorena's perspective

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

  1. A study of the behavior of several methods for balancing machine learning training data
  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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Complexity Measures of Supervised Classification Problems
  7. ImageNet: A large-scale hierarchical image database
  8. Learning from Imbalanced Data
  9. The Nature of Statistical Learning Theory
  10. Support-Vector Networks

Their papers