Daniel Quist

Journal in Computer Virology · 2011

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

Whom Daniel Quist trusts overall

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

1. Yuh-Jye Lee
2. J. Kolter
3. M. Shafiq
4. Artem Dinaburg

Who trusts Daniel Quist overall

1. Ömer Aslan
2. Konrad Rieck
3. Daniele Ucci
4. Ekta Gandotra
5. Yanfang Ye

Papers from Daniel Quist's perspective

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

1. Static Analysis of Executables to Detect Malicious Patterns
2. Learning with Kernels
3. Learning to detect malicious executables in the wild (Knowledge Discovery and Data Mining)
4. Ether: malware analysis via hardware virtualization extensions (Conference on Computer and Communications Security)
5. Analysis of a complex of statistical variables into principal components.
6. Polymorphic Worm Detection Using Structural Information of Executables (International Symposium on Recent Advances in Intrusion Detection)
7. A Tutorial on Support Vector Machines for Pattern Recognition
8. RSVM: Reduced Support Vector Machines (SDM)
9. Multiple kernel learning, conic duality, and the SMO algorithm
10. Learning and Classification of Malware Behavior

Their papers

• Graph-based malware detection using dynamic analysis (2011) — 311 citations