Nahla H. Barakat

Artificial Intelligence · 2005–2010

A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Nahla H. Barakat trusts overall

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

  1. Joachim Diederich
  2. Niko Speybroeck
  3. Haydemar Núñez
  4. Robert Andrews
  5. glenn. fung
  6. Andrew P. Bradley
  7. Y. Zhang
  8. Mark W. Craven
  9. C. Burges
  10. Chet Langin

Who trusts Nahla H. Barakat overall

  1. Emilio Carrizosa
  2. Andrew P. Bradley
  3. Nadia Burkart
  4. Alejandro Barredo Arrieta
  5. Ljiljana Kašćelan
  6. Zhenyu Chen
  7. Dolores Romero Morales
  8. Vanya Van Belle
  9. Eduardo Mosqueira-Rey
  10. David Martens

Papers from Nahla H. Barakat's perspective

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

  1. Rule extraction from support vector machines
  2. A Tutorial on Support Vector Machines for Pattern Recognition
  3. Statistical Learning Theory
  4. The Nature of Statistical Learning Theory
  5. Survey and critique of techniques for extracting rules from trained artificial neural networks
  6. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
  7. Using Sampling and Queries to Extract Rules from Trained Neural Networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Rule Extraction from Support Vector Machines
  10. ImageNet classification with deep convolutional neural networks

Their papers