Wei Hu

Artificial Intelligence · with Hu · 2008

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 Wei Hu trusts overall

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

  1. Yoav Freund
  2. Nikunj C. Oza
  3. Robert E. Schapire
  4. Srinivas Mukkamala
  5. Wenke Lee
  6. Dit-Yan Yeung
  7. Andrew H. Sung

Who trusts Wei Hu overall

  1. Wei‐Chao Lin
  2. Yuyang Zhou
  3. R. Vinayakumar

Papers from Wei Hu's perspective

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

  1. Experiments with a New Boosting Algorithm
  2. A decision-theoretic generalization of on-line learning and an application to boosting
  3. The 1999 DARPA off-line intrusion detection evaluation (Comput. Networks)
  4. Testing Intrusion detection systems (ACM Transactions on Privacy and Security)
  5. Identifying important features for intrusion detection using support vector machines and neural networks (2003 Symposium on Applications and the Internet, 2003. Proceedings.)
  6. A Short Introduction to Boosting
  7. Online Ensemble Learning
  8. Host-based intrusion detection using dynamic and static behavioral models (Pattern Recognition)
  9. Intrusion detection using neural networks and support vector machines
  10. A framework for constructing features and models for intrusion detection systems (ACM Transactions on Privacy and Security)

Their papers