Tarid Wongvorachan

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tarid Wongvorachan trusts overall

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

  1. György Kovács
  2. Shu Yang
  3. S. van Buuren
  4. Giovanna Menardi
  5. Justin M. Johnson
  6. Guillaume Lemaitre
  7. Wei‐Chao Lin
  8. Taghi M. Khoshgoftaar
  9. Nicola Torelli
  10. Karin G. M. Groothuis-Oudshoorn

Papers from Tarid Wongvorachan's perspective

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

  1. Scikit-learn: Machine Learning in Python
  2. The class imbalance problem: A systematic study
  3. Training and assessing classification rules with imbalanced data (Data mining and knowledge discovery)
  4. Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
  5. Clustering-based undersampling in class-imbalanced data (Information Sciences)
  6. Learning from class-imbalanced data: Review of methods and applications (Expert systems with applications)
  7. Survey on deep learning with class imbalance (Journal of Big Data)
  8. MICE: Multivariate Imputation by Chained Equations in R
  9. Imbalanced Learning: Foundations, Algorithms, and Applications
  10. Flexible Imputation of Missing Data, 2nd ed. (Journal of the American Statistical Association)

Their papers