Lida Abdi

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Lida Abdi trusts overall

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

  1. Jaka Demsar
  2. S. Kotsiantis
  3. Trevor J. Hastie
  4. Gary M. Weiss
  5. Ryan M. Rifkin
  6. Alberto Fernández
  7. Gustavo E. A. P. A. Batista
  8. Jesús Alcalá-Fdez
  9. Ronaldo Cristiano Prati
  10. Nitesh V. Chawla

Who trusts Lida Abdi overall

  1. Alberto Fernández
  2. Mikel Canizo
  3. Amin Sharififar
  4. Min-Ling Zhang
  5. Bartosz Krawczyk
  6. Salvador Garcia
  7. Isaac Triguero
  8. Yukun Li
  9. Fereydoon Sarmadian
  10. Francisco Herrera

Papers from Lida Abdi's perspective

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

  1. The use of the area under the ROC curve in the evaluation of machine learning algorithms
  2. Bagging Predictors
  3. A study of the behavior of several methods for balancing machine learning training data
  4. SMOTEBoost: Improving Prediction of the Minority Class in Boosting
  5. Statistical Comparisons of Classifiers over Multiple Data Sets
  6. Experiments with a New Boosting Algorithm
  7. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
  8. Evaluating boosting algorithms to classify rare classes: comparison and improvements (Proceedings 2001 IEEE International Conference on Data Mining)
  9. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  10. Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior

Their papers