@inproceedings{f58ebfc75ad548be94b866672c218d31,
title = "T cell receptor signalling inspired kernel density estimation and anomaly detection",
abstract = "The T cell is able to perform fine-grained anomaly detection via its T Cell Receptor and intracellular signalling networks. We abstract from models of T Cell signalling to develop a new Artificial Immune System concepts involving the internal components of the TCR. We show that the concepts of receptor signalling have a natural interpretation as Parzen Window Kernel Density Estimation applied to anomaly detection. We then demonstrate how the dynamic nature of the receptors allows anomaly detection when probability distributions vary in time.",
keywords = "negative feedback, anomaly detection, kerneal density estimation, single receptor, receptor position",
author = "Owens, {Nick D. L.} and Andy Greensted and Jon Timmis and Andy Tyrrell",
year = "2009",
doi = "10.1007/978-3-642-03246-2_15",
language = "English",
isbn = "3642032451",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "122--135",
editor = "Andrews, {Paul S.} and Jon Timmis and Owens, {Nick D. L.} and Tyrrell, {Andy M.} and Uwe Aickelin and Emma Hart and Andrew Hone",
booktitle = "Artificial Immune Systems - 8th International Conference, ICARIS 2009, Proceedings",
address = "Switzerland",
note = "8th International Conference on Artificial Immune Systems, ICARIS 2009 ; Conference date: 09-08-2009 Through 12-08-2009",
}