Aaron D. Striegel

Artificial Intelligence · 2006

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #28,940 of 35,345 by trust here, #28,481 by citations

Whom Aaron D. Striegel trusts overall

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

1. William W. Cohen
2. Scott Cost
3. Nitesh V. Chawla

Who trusts Aaron D. Striegel overall

1. Rok Blagus

Papers from Aaron D. Striegel's perspective

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

1. Robust Classification for Imprecise Environments
2. SMOTE: Synthetic Minority Over-sampling Technique
3. Fast Effective Rule Induction
4. A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features
5. The Class Imbalance Problem: Significance and Strategies
6. A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
7. Measuring the accuracy of diagnostic systems.
8. The 1999 DARPA off-line intrusion detection evaluation (Comput. Networks)
9. The base-rate fallacy and the difficulty of intrusion detection (ACM Transactions on Privacy and Security)
10. Improving Identification of Difficult Small Classes by Balancing Class Distribution (Conference on Artificial Intelligence in Medicine in Europe)

Their papers

• Combating imbalance in network intrusion datasets (2006) — 310 citations