Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm

By Andrew B. Watkins, J. Timmis, Lois C. Boggess. Genetic Programming and Evolvable Machines, 2004

403 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Genetics, Immunology

View Paper: https://www.semanticscholar.org/paper/391c0e127a2e1b84fbf8980d9fa9ae13192c1a90

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. J. Timmis
2. Edward Clark
3. Thomas Stibor
4. Andrew N. W. Hone
5. Jonathan Timmis
6. J. Mccall

In Genetics

1. J. Timmis
2. Jonathan Timmis

In Immunology

1. J. Timmis
2. Jonathan Timmis
3. J. Mccall

Citations in the corpus

• Theoretical advances in artificial immune systems (2008, background): “In the supervised learning domain, very little was achieved until work in [39] (later augmented in [40]), which developed an immune based classifier known as AIRS.”