Mohammad Zulkernine

Artificial Intelligence · 2006–2011

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #9,542 of 35,345 by trust here, #15,866 by citations
• Information Systems — 21 citations into it
• Computer Networks and Communications — 13 citations into it; #1,882 of 9,886 by trust here, #3,155 by citations
• Software — 11 citations into it
• Signal Processing — 6 citations into it

Whom Mohammad Zulkernine trusts overall

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

1. Eleazar Eskin
2. Wenke Lee
3. Tingyao Wu
4. Charles Peter Elkan
5. Trevor J. Hastie
6. Matthew V. Mahoney
7. Kingsly Leung
8. Andrew O. Arnold
9. Salvatore J. Stolfo
10. Leo Breiman

Who trusts Mohammad Zulkernine overall

1. Paulo Angelo Alves Resende
2. Jonathan J. Davis
3. André Costa Drummond
4. Nicholas Carlini
5. Anna L. Buczak
6. M. Aydin
7. Antanas Verikas
8. Levent Koc
9. Chuanlong Yin
10. R. Vinayakumar

Papers from Mohammad Zulkernine's perspective

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

1. Random Forests
2. Testing Intrusion detection systems (ACM Transactions on Privacy and Security)
3. A GEOMETRIC FRAMEWORK FOR UNSUPERVISED ANOMALY DETECTION: DETECTING INTRUSIONS IN UNLABELED DATA
4. An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly Detection
5. Computer Security: Art and Science
6. Probability Estimates for Multi-class Classification by Pairwise Coupling (Journal of machine learning research)
7. Robust prediction of fault-proneness by random forests (IEEE International Symposium on Software Reliability Engineering)
8. Principles of Data Mining
9. Predicting faults using the complexity of code changes (2009 IEEE 31st International Conference on Software Engineering)
10. Adaptive Intrusion Detection: A Data Mining Approach (Artificial Intelligence Review)

Their papers

• Anomaly Based Network Intrusion Detection with Unsupervised Outlier Detection (2006) — 274 citations
• Using complexity, coupling, and cohesion metrics as early indicators of vulnerabilities (2011) — 305 citations
• Random-Forests-Based Network Intrusion Detection Systems (2008) — 564 citations