Victor Robles

Artificial Intelligence · 2008–2009

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Victor Robles trusts overall

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

  1. Thorsten Joachims
  2. Ian T. Jolliffe
  3. Min-Ling Zhang
  4. Robert E. Schapire
  5. David E. Rumelhart
  6. Andre´ Elisseeff
  7. Shantanu Godbole
  8. Sebastián Maldonado
  9. Cagatay Catal
  10. Arthur P. Dempster

Who trusts Victor Robles overall

  1. Verónica Bolón-Canedo
  2. Amparo Alonso-Betanzos
  3. Noelia Sánchez-Maroño

Papers from Victor Robles's perspective

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

  1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  2. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  3. Learning internal representations by error propagation
  4. BoosTexter: A Boosting-based System for Text Categorization (Machine-mediated learning)
  5. The perceptron: a probabilistic model for information storage and organization in the brain.
  6. ImageNet classification with deep convolutional neural networks
  7. A kernel method for multi-labelled classification
  8. Gradient-based learning applied to document recognition
  9. Machine learning in automated text categorization
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers