Okan Bulut

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Okan Bulut trusts overall

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

  1. Michael C. Rodriguez
  2. T. Haladyna
  3. Jimmy de la Torre
  4. György Kovács
  5. Shu Yang
  6. Brian W. Junker
  7. S. van Buuren
  8. Giovanna Menardi
  9. Justin M. Johnson
  10. Derek C. Briggs

Papers from Okan Bulut's perspective

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

  1. A Review of Multiple-Choice Item-Writing Guidelines for Classroom Assessment
  2. Scikit-learn: Machine Learning in Python
  3. The class imbalance problem: A systematic study
  4. Training and assessing classification rules with imbalanced data (Data mining and knowledge discovery)
  5. Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
  6. Clustering-based undersampling in class-imbalanced data (Information Sciences)
  7. Diagnostic Assessment With Ordered Multiple-Choice Items
  8. Learning from class-imbalanced data: Review of methods and applications (Expert systems with applications)
  9. Survey on deep learning with class imbalance (Journal of Big Data)
  10. MICE: Multivariate Imputation by Chained Equations in R

Their papers