Christian Holler

Information Systems · 2007–2012

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Holler trusts overall

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

  1. Andreas Zeller
  2. Vladimir Naumovich Vapni
  3. Rakesh Agrawal
  4. Hao Chen

Who trusts Christian Holler overall

  1. Jibesh Patra
  2. Junjie Wang
  3. Jiawei Liu
  4. Chun Xia
  5. Theofilos Petsios
  6. Yuting Chen
  7. Valentin J. M. Manès
  8. Michael Pradel
  9. Bihuan Chen
  10. Ting Su

Papers from Christian Holler's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Fast Algorithms for Mining Association Rules
  3. Pixy: a static analysis tool for detecting Web application vulnerabilities (IEEE Symposium on Security and Privacy)
  4. MOPS: an infrastructure for examining security properties of software (Conference on Computer and Communications Security)
  5. Mining metrics to predict component failures (International Conference on Software Engineering)
  6. Finding and understanding bugs in C compilers
  7. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition
  8. Is finding security holes a good idea? (IEEE Security and Privacy)
  9. Have things changed now?: an empirical study of bug characteristics in modern open source software (International Conference on Anti-counterfeiting, Security, and Identification)
  10. Predicting vulnerable software components (Conference on Computer and Communications Security)

Their papers