Jumanah Rawashdeh

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jumanah Rawashdeh trusts overall

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

  1. Andrew P. Bradley
  2. Yoav Freund
  3. Hui Han
  4. Guillaume Lemaitre

Who trusts Jumanah Rawashdeh overall

  1. Hussain Alibrahim

Papers from Jumanah Rawashdeh's perspective

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

  1. SMOTE: Synthetic Minority Over-sampling Technique
  2. The use of the area under the ROC curve in the evaluation of machine learning algorithms
  3. A decision-theoretic generalization of on-line learning and an application to boosting
  4. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
  5. Scikit-learn: Machine Learning in Python
  6. Learning From Imbalanced Data
  7. Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
  8. Matplotlib: A 2D Graphics Environment
  9. SPECIAL ISSUE ON LEARNING FROM IMBALANCED DATA SETS
  10. Effective detection of sophisticated online banking fraud on extremely imbalanced data (World wide web (Bussum))

Their papers