Negin Samadi

Artificial Intelligence · 2020

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 Negin Samadi trusts overall

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

  1. Robert E. Schapire
  2. Leo Breiman
  3. Jaka Demsar
  4. Yoav Freund

Papers from Negin Samadi's perspective

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

  1. A decision-theoretic generalization of on-line learning and an application to boosting
  2. Bagging Predictors
  3. Greedy function approximation: A gradient boosting machine.
  4. Statistical Comparisons of Classifiers over Multiple Data Sets
  5. XGBoost: A Scalable Tree Boosting System
  6. Using AUC and accuracy in evaluating learning algorithms (IEEE Transactions on Knowledge and Data Engineering)
  7. BoosTexter: A Boosting-based System for Text Categorization (Machine-mediated learning)
  8. A study of the behavior of several methods for balancing machine learning training data
  9. Ensemble-based classifiers
  10. A Brief Introduction to Boosting

Their papers