Khaled Fawagreh

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Khaled Fawagreh trusts overall

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

  1. Leo Breiman
  2. Thomas G. Dietterich
  3. Tin Kam Ho
  4. Robi Polikar
  5. David E. Goldberg
  6. Lior Rokach
  7. Yoav Freund
  8. Padhraic Smyth
  9. Ludmila I. Kuncheva
  10. Yali Amit

Papers from Khaled Fawagreh's perspective

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

  1. Bagging Predictors
  2. A decision-theoretic generalization of on-line learning and an application to boosting
  3. Random Forests
  4. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
  5. Shape Quantization and Recognition with Randomized Trees
  6. ImageNet classification with deep convolutional neural networks
  7. Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. The Nature of Statistical Learning Theory
  10. Gradient-based learning applied to document recognition

Their papers