Stephan Neuhaus

Information Systems · 2007

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stephan Neuhaus trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Rakesh Agrawal
  3. Hao Chen
  4. Trevor J. Hastie
  5. Jacek Sliwerski
  6. Nenad Jovanovic
  7. Rayadurgam Srikant
  8. Robert Tibshirani
  9. David A. Wagner
  10. Eric Rescorla

Who trusts Stephan Neuhaus overall

  1. Riccardo Scandariato
  2. Z. Li

Papers from Stephan Neuhaus's perspective

Ordered by how strongly the researchers Stephan Neuhaus 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. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition
  7. Is finding security holes a good idea? (IEEE Security and Privacy)
  8. When do changes induce fixes? (ACM SIGSOFT Softw. Eng. Notes)
  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. Checking system rules using system-specific, programmer-written compiler extensions (USENIX Symposium on Operating Systems Design and Implementation)

Their papers