


default search action
11. ICARIS 2012: Taormina, Italy
- Carlos A. Coello Coello, Julie Greensmith, Natalio Krasnogor, Pietro Liò, Giuseppe Nicosia, Mario Pavone:
Artificial Immune Systems - 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012. Proceedings. Lecture Notes in Computer Science 7597, Springer 2012, ISBN 978-3-642-33756-7 - Tao Gong:
Face Recognition by Searching Most Similar Sample with Immune Learning. 1-13 - Thomas Pierrard, Carlos A. Coello Coello
:
A Multi-Objective Artificial Immune System Based on Hypervolume. 14-27 - Johannes Textor
:
A Comparative Study of Negative Selection Based Anomaly Detection in Sequence Data. 28-41 - TiongHoo Lim, HuiKeng Lau
, Jon Timmis
, Iain Bate:
Immune-Inspired Self Healing in Wireless Sensor Networks. 42-56 - Grazziela P. Figueredo
, Peer-Olaf Siebers
, Uwe Aickelin
, Stephanie J. Foan:
A Beginner's Guide to Systems Simulation in Immunology. 57-71 - Wilburn W. P. Tsang, Henry Y. K. Lau:
Clustering-Based Multi-objective Immune Optimization Evolutionary Algorithm. 72-85 - Anna Gogolinska
, Wieslaw Nowak:
Petri Nets Approach to Modeling of Immune System and Autism. 86-99 - Cicero Hildenberg Lima de Oliveira, Thayna Baptista Moroso, Fabio Hugo Souza Matos, Carolina Yukari Veludo Watanabe
, Ciro Jose Egoavil Montero
, Carlos Alberto Tenorio de Carvalho Junior, Hugo Fernando Maia Milan
, Fernando Berton Zanchi
:
Mathematical Implementation of Interaction between Malaria and Immune System. 100-110 - Thomas Jansen
, Christine Zarges
:
Computing Longest Common Subsequences with the B-Cell Algorithm. 111-124 - Jun Fu, Huan Yang, Yiwen Liang, Chengyu Tan:
Bait a Trap: Introducing Natural Killer Cells to Artificial Immune System for Spyware Detection. 125-138 - Samir A. Mohamed Elsayed, Sanguthevar Rajasekaran, Reda A. Ammar:
AC-CS: An Immune-Inspired Associative Classification Algorithm. 139-151 - Zeineb Chelly
, Zied Elouedi:
RC-DCA: A New Feature Selection and Signal Categorization Technique for the Dendritic Cell Algorithm Based on Rough Set Theory. 152-165 - Viviana Cocco Mariani
, Leandro dos Santos Coelho
, Anderson Duck, Fabio Alessandro Guerra, Ravipudi Venkata Rao:
Artificial Immune Network Approach with Beta Differential Operator Applied to Optimization of Heat Exchangers. 166-177 - Patricia Mostardinha, Bruno Filipe Faria, André Zúquete
, Fernão Vístulo de Abreu
:
A Negative Selection Approach to Intrusion Detection. 178-190 - Danesh Tarapore, Anders Lyhne Christensen
, Pedro U. Lima
, Jorge Carneiro
:
Clonal Expansion without Self-replicating Entities. 191-204 - Mehdi Mohammadi, Ahmad Akbari
, Bijan Raahemi, Babak Nasersharif
:
A Real Time Anomaly Detection System Based on Probabilistic Artificial Immune Based Algorithm. 205-217 - Zixing Cai, Xingbao Liu, Xiaoping Ren:
CSA/IE: Novel Clonal Selection Algorithm with Information Exchange for High Dimensional Global Optimization Problems. 218-231 - Pedro Pinacho, Iván Pau
, Max Chacón, Sergio Sánchez García:
An Ecological Approach to Anomaly Detection: The EIA Model. 232-245 - Chris J. Musselle:
Rethinking Concepts of the Dendritic Cell Algorithm for Multiple Data Stream Analysis. 246-259
Workshop on Bio- and Immune-Inspired Algorithms and Models for Multi-level Complex Systems Invited Papers
- Raffaele Giancarlo, Filippo Utro
:
Stability-Based Model Selection for High Throughput Genomic Data: An Algorithmic Paradigm. 260-270 - Alberto Castellini, Vincenzo Manca
, Mauro Zucchelli
:
Towards an Evolutionary Procedure for Reverse-Engineering Biological Networks. 271-285 - Niall Murphy, Alfonso Rodríguez-Patón
:
Distributed Computing with Prokaryotic Immune Systems. 286-288 - Emanuela Merelli
, Mario Rasetti:
The Immune System as a Metaphor for Topology Driven Patterns Formation in Complex Systems. 289-291

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.