Thomas Stibor

发表

On the Use of Hyperspheres in Artificial Immune Systems as Antibody Recognition Regions

Claudia Eckert, Jonathan Timmis, Thomas Stibor, 2006, ICARIS.

Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions

Thomas Stibor, T. Stibor, 2008, GECCO '08.

A supervised topic transition model for detecting malicious system call sequences

Thomas Stibor, Han Xiao, Han Xiao, 2011, KDMS '11.

A Study of Detecting Computer Viruses in Real-Infected Files in the n-Gram Representation with Machine Learning Methods

Thomas Stibor, 2010, IEA/AIE.

Theoretical advances in artificial immune systems

Jonathan Timmis, Edward Clark, Thomas Stibor, 2008, Theor. Comput. Sci..

Toward Artificial Synesthesia: Linking Images and Sounds via Words

Thomas Stibor, Han Xiao, Han Xiao, 2010 .

A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques

Claudia Eckert, Jonathan Timmis, Thomas Stibor, 2005, ICARIS.

Mass storage interface LTSM for FAIR Phase 0 data acquisition

Thomas Stibor, Jörn Adamczewski-Musch, 2020 .

Is negative selection appropriate for anomaly detection?

Claudia Eckert, Jonathan Timmis, Thomas Stibor, 2005, GECCO '05.

On Immunological Memory as a Function of a Recursive Proliferation Process

Thomas Stibor, Anastasio Salazar-Bañuelos, 2010, 2010 15th IEEE International Conference on Engineering of Complex Computer Systems.

An Investigation on the Compression Quality of aiNet

Jonathan Timmis, Thomas Stibor, J. Timmis, 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.

Artificial Immune Systems for IT-Security (Künstliche Immunsysteme für IT-Sicherheit)

Claudia Eckert, Jonathan Timmis, Thomas Stibor, 2006, it Inf. Technol..

An Empirical Study of Self/Non-self Discrimination in Binary Data with a Kernel Estimator

Thomas Stibor, T. Stibor, 2008, ICARIS.

The Link between r-contiguous Detectors and k-CNF Satisfiability

Claudia Eckert, Jonathan Timmis, Thomas Stibor, 2006, 2006 IEEE International Conference on Evolutionary Computation.

On Permutation Masks in Hamming Negative Selection

Claudia Eckert, Jonathan Timmis, Thomas Stibor, 2006, ICARIS.

Geometrical insights into the dendritic cell algorithm

Graham Kendall, Jonathan M. Garibaldi, Thomas Stibor, 2009, GECCO '09.

Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation

Thomas Stibor, Han Xiao, 2010, ACML.

Phase Transition and the Computational Complexity of Generating r -Contiguous Detectors

Thomas Stibor, T. Stibor, 2007, ICARIS.

An Investigation of R-Chunk Detector Generation on Higher Alphabets

Claudia Eckert, Kpatcha M. Bayarou, Thomas Stibor, 2004, GECCO.

Foundations of r-contiguous matching in negative selection for anomaly detection

Thomas Stibor, T. Stibor, 2009, Natural Computing.

Artificial Immune Systems for IT-Security. it-Information Technology

Claudia Eckert, Thomas Stibor, J. Timmis, 2006 .

Generalization Regions in Hamming Negative Selection

Claudia Eckert, Jonathan Timmis, Thomas Stibor, 2006, Intelligent Information Systems.

Evasion Attack of Multi-class Linear Classifiers

Claudia Eckert, Thomas Stibor, Han Xiao, 2012, PAKDD.

On the appropriateness of negative selection defined over Hamming shape-space as a network intrusion detection system

Claudia Eckert, Jonathan Timmis, Thomas Stibor, 2005, 2005 IEEE Congress on Evolutionary Computation.

Comments on real-valued negative selection vs. real-valued positive selection and one-class SVM

Jonathan Timmis, Thomas Stibor, 2007, 2007 IEEE Congress on Evolutionary Computation.

Comments on Real-Valued Negative Selection vs.

Jonathan Timmis, Thomas Stibor, 2007 .

On the appropriateness of negative selection for anomaly detection and network intrusion detection

Thomas Stibor, T. Stibor, 2006 .