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Optimizing the crossregulation model for scalable abnormality detection

Optimizing the crossregulation model for scalable abnormality detection
Optimizing the crossregulation model for scalable abnormality detection
MIT Press
Tarapore, Danesh
fe8ec8ae-1fad-4726-abef-84b538542ee4
Lima, Pedro U
c704e178-5c25-4f01-818c-46d3c0d53ed7
Carneiro, Jorge
cd7a4699-e04d-432f-b166-5aa894b89dac
Christensen, Anders Lyhne
423aa920-18cb-4913-8643-626db65a9222
Tarapore, Danesh
fe8ec8ae-1fad-4726-abef-84b538542ee4
Lima, Pedro U
c704e178-5c25-4f01-818c-46d3c0d53ed7
Carneiro, Jorge
cd7a4699-e04d-432f-b166-5aa894b89dac
Christensen, Anders Lyhne
423aa920-18cb-4913-8643-626db65a9222

Tarapore, Danesh, Lima, Pedro U, Carneiro, Jorge and Christensen, Anders Lyhne (2014) Optimizing the crossregulation model for scalable abnormality detection. In Artificial Life 14: Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems. MIT Press..

Record type: Conference or Workshop Item (Paper)

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Published date: 2014

Identifiers

Local EPrints ID: 412567
URI: http://eprints.soton.ac.uk/id/eprint/412567
PURE UUID: c1791f89-d407-4b19-87f8-2e2728d1ecc1
ORCID for Danesh Tarapore: ORCID iD orcid.org/0000-0002-3226-6861

Catalogue record

Date deposited: 21 Jul 2017 16:31
Last modified: 16 Mar 2024 04:29

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Contributors

Author: Danesh Tarapore ORCID iD
Author: Pedro U Lima
Author: Jorge Carneiro
Author: Anders Lyhne Christensen

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