Rafael Bidarra

Computer Vision and Pattern Recognition · 2009–2018

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Rafael Bidarra trusts overall

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

  1. Pascal Müller

Who trusts Rafael Bidarra overall

  1. Filip Biljecki

Papers from Rafael Bidarra's perspective

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

  1. Visualizing and Understanding Convolutional Networks
  2. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
  3. Visualizing Higher-Layer Features of a Deep Network
  4. Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
  5. Procedural modeling of cities (International Conference on Computer Graphics and Interactive Techniques)
  6. Thinking fast and slow.
  7. Interpretable Explanations of Black Boxes by Meaningful Perturbation
  8. The Building Blocks of Interpretability
  9. How the Mind Explains Behavior: Folk Explanations, Meaning, and Social Interaction
  10. A review of explanation methods for Bayesian networks

Their papers