Jill Slay
Artificial Intelligence · 2007–2016
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it; #5,832 of 35,345 by trust here, #11,072 by citations
- Computer Networks and Communications — 11 citations into it; #857 of 9,886 by trust here, #1,744 by citations
- Signal Processing — 6 citations into it; #1,012 of 7,572 by trust here, #1,904 by citations
Whom Jill Slay trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jill Slay overall
- Nour Moustafa
- Lida Xu
- Mohanad Sarhan
- Iqbal H. Sarker
- Sydney Mambwe Kasongo
- Chaouki Khammassi
- Siamak Layeghy
- Hongyu Liu
- Lian Duan
- Fabio Pasqualetti
Papers from Jill Slay's perspective
Ordered by how strongly the researchers Jill Slay trusts endorse each paper. Same corpus, a different order for every researcher.
- Score normalization in multimodal biometric systems
- A detailed analysis of the KDD CUP 99 data set (IEEE Symposium on Computational Intelligence for Security and Defense Applications)
- A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
- Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation (Australian Conference on Artificial Intelligence)
- A hybrid intrusion detection system design for computer network security (Computers & electrical engineering)
- UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) (Military Communications and Information Systems Conference)
- NETWORK INTRUSION DETECTION USING NAÏVE BAYES
- Intrusion Detection Systems: A Survey and Taxonomy
- A multivariate Kolmogorov-Smirnov test of goodness of fit
- Learning from Data: Concepts, Theory, and Methods (Technometrics)
Their papers
- The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set (2016) — 1,076 citations
- UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) (2015) — 3,775 citations
- Lessons Learned from the Maroochy Water Breach (2007) — 716 citations