Harsha Kalutarage

Soft Computing - A Fusion of Foundations, Methodologies and Applications · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Harsha Kalutarage trusts overall

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

  1. T. J. Watson
  2. Irina Rish
  3. Gregory L. Wittel
  4. Arturo Geigel
  5. Eibe Frank
  6. Peter Clark
  7. Shyhtsun Felix Wu

Papers from Harsha Kalutarage's perspective

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

  1. Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid
  2. Information Theory: 1948-1998 - Guest Editorial
  3. Locally Weighted Naive Bayes (Conference on Uncertainty in Artificial Intelligence)
  4. Tackling the Poor Assumptions of Naive Bayes Text Classifiers (International Conference on Machine Learning)
  5. Neural network Trojan
  6. Idiot's Bayes—Not So Stupid After All?
  7. The CN2 Induction Algorithm
  8. Evading Machine Learning Malware Detection
  9. On Attacking Statistical Spam Filters
  10. An empirical study of the naive Bayes classifier

Their papers