Thomas Stibor, Jon Timmis, C Eckert, "A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques" International Conference on Artificial Immune Systems (ICARIS), LNCS Vol. 3627, pp. 262-275, Springer (2005)

Andrew Secker, Alex A Freitas, Jon Timmis, "A Danger Theory Approach to Web Mining" ICARIS 2003, Proceedings, Springer (2003)

Sankalp Balachandran, Dipankar Dasgupta, Fernando Nino, Deon Garrett, "A General Framework for Evolving Multi-Shaped Detectors in Negative Selection" NOT YET PUBLISHED! (2006)

A Blanco, M Delgado, M C Pegalajar, "A genetic algorithm to obtain the optimal recurrent neural network" International Journal of Approximate Reasoning, Elsevier (2000)

Thomas Knight, Jon Timmis, "A Multi-Layered Immune Approach to Data Mining" 4th International Conference on Recent Advances in Soft Computing, Proceedings (2002)

D G Chen, D M Ware, "A neural network model for forecasting fish stock recruitment" Canadian Journal of Fisheries and Aquatic Sciences, Vol. 56 No. 12 pp. 2385-2396, NRC (Canada) Press (1999)

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Alex A Freitas, "A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery" Advances In Evolutionary Computation, Springer (2002)

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Andrew Secker, Alex A Freitas, Jon Timmis, "AISEC: an Artificial Immune System for E-mail Classification" CEC 2003, Proceedings, IEEE Press (2003)

Jon Timmis, "aiVIS - Artificial Immune Network Visualisation" EuroGraphics UK 2001 Conference Proceedings (2001)

Julie Greensmith, Steve Cayzer, "An Artificial Immune System Approach to Semantic Document Classification" ICARIS 2003, Proceedings, Springer (2003)

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