Sashank Dara

Information Systems · 2015

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sashank Dara trusts overall

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

  1. Jerome H. Friedman
  2. Nick Littlestone
  3. Nitesh V. Chawla
  4. Eibe Frank
  5. Thomas Zimmermann
  6. Mark A. Hall
  7. Shuo Wang

Who trusts Sashank Dara overall

  1. Chakkrit Kla Tantithamthavorn

Papers from Sashank Dara's perspective

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

  1. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  2. SMOTE: Synthetic Minority Over-sampling Technique
  3. Locally Weighted Learning
  4. Pegasos: primal estimated sub-gradient solver for SVM
  5. Mining metrics to predict component failures (International Conference on Software Engineering)
  6. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm
  7. Cross-project defect prediction: a large scale experiment on data vs. domain vs. process (ESEC/SIGSOFT FSE)
  8. Experimental perspectives on learning from imbalanced data (International Conference on Machine Learning)
  9. Defect prediction from static code features: current results, limitations, new approaches (International Conference on Automated Software Engineering)
  10. The WEKA data mining software: an update

Their papers