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Thomas Stibor
2010 – today
- 2012
[c15]Han Xiao, Thomas Stibor, Claudia Eckert: Evasion Attack of Multi-class Linear Classifiers. PAKDD (1) 2012: 207-218- 2011
- [e1]Pietro Liò, Giuseppe Nicosia, Thomas Stibor (Eds.): Artificial Immune Systems - 10th International Conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011. Proceedings. Lecture Notes in Computer Science 6825, Springer 2011, ISBN 978-3-642-22370-9
- 2010
- [j4]Han Xiao, Thomas Stibor: Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation. Journal of Machine Learning Research - Proceedings Track 13: 63-78 (2010)
- [c14]Thomas Stibor, Anastasio Salazar-Bañuelos: On Immunological Memory as a Function of a Recursive Proliferation Process. ICECCS 2010: 269-275
- [c13]Thomas Stibor: A Study of Detecting Computer Viruses in Real-Infected Files in the n-Gram Representation with Machine Learning Methods. IEA/AIE (1) 2010: 509-519
2000 – 2009
- 2009
- [j3]Thomas Stibor: Foundations of r-contiguous matching in negative selection for anomaly detection. Natural Computing 8(3): 613-641 (2009)
- [c12]Thomas Stibor, Robert Oates, Graham Kendall, Jonathan M. Garibaldi: Geometrical insights into the dendritic cell algorithm. GECCO 2009: 1275-1282
- 2008
- [j2]Jonathan Timmis, Andrew Hone, Thomas Stibor, Edward Clark: Theoretical advances in artificial immune systems. Theor. Comput. Sci. 403(1): 11-32 (2008)
- [c11]Thomas Stibor: Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions. GECCO 2008: 127-134
- [c10]Thomas Stibor: An Empirical Study of Self/Non-self Discrimination in Binary Data with a Kernel Estimator. ICARIS 2008: 352-363
- 2007
- [c9]Thomas Stibor, Jonathan Timmis: Comments on real-valued negative selection vs. real-valued positive selection and one-class SVM. IEEE Congress on Evolutionary Computation 2007: 3727-3734
- [c8]Thomas Stibor, Jonathan Timmis: An Investigation on the Compression Quality of aiNet. FOCI 2007: 495-502
- [c7]Thomas Stibor: Phase Transition and the Computational Complexity of Generating r -Contiguous Detectors. ICARIS 2007: 142-155
- 2006
- [b1]Thomas Stibor: On the appropriateness of negative selection for anomaly detection and network intrusion detection. Darmstadt University of Technology 2006, pp. 1-120
- [j1]Thomas Stibor, Claudia Eckert, Jonathan Timmis: Artificial Immune Systems for IT-Security (Künstliche Immunsysteme für IT-Sicherheit). it - Information Technology 48(3): 168-173 (2006)
- [c6]Thomas Stibor, Jonathan Timmis, Claudia Eckert: On Permutation Masks in Hamming Negative Selection. ICARIS 2006: 122-135
- [c5]Thomas Stibor, Jonathan Timmis, Claudia Eckert: On the Use of Hyperspheres in Artificial Immune Systems as Antibody Recognition Regions. ICARIS 2006: 215-228
- 2005
- [c4]Thomas Stibor, Jonathan Timmis, Claudia M. Eckert: On the appropriateness of negative selection defined over Hamming shape-space as a network intrusion detection system. Congress on Evolutionary Computation 2005: 995-1002
- [c3]Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, Claudia Eckert: Is negative selection appropriate for anomaly detection? GECCO 2005: 321-328
- [c2]Thomas Stibor, Jonathan Timmis, Claudia Eckert: A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques. ICARIS 2005: 262-275
- 2004
- [c1]Thomas Stibor, Kpatcha M. Bayarou, Claudia Eckert: An Investigation of R-Chunk Detector Generation on Higher Alphabets. GECCO (1) 2004: 299-307
Coauthor Index
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last updated on 2012-12-02 21:30 CET by the dblp team