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Artificial Immune Systems

Overview of attention for book
Cover of 'Artificial Immune Systems'

Table of Contents

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    Book Overview
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    Chapter 1 The Value of Inflammatory Signals in Adaptive Immune Responses
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    Chapter 2 Large Scale Agent-Based Modeling of the Humoral and Cellular Immune Response
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    Chapter 3 Logic-Based Representation of Connectivity Routes in the Immune System
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    Chapter 4 Refitting Harel Statecharts for Systemic Mathematical Models in Computational Immunology
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    Chapter 5 In Silico Investigation into CD8Treg Mediated Recovery in Murine Experimental Autoimmune Encephalomyelitis
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    Chapter 6 Classification of MHC I Proteins According to Their Ligand-Type Specificity
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    Chapter 7 Towards Argument-Driven Validation of an in silico Model of Immune Tissue Organogenesis
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    Chapter 8 Simulating the Dynamics of T Cell Subsets throughout the Lifetime
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    Chapter 9 Modelling Containment Mechanisms in the Immune System for Applications in Engineering
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    Chapter 10 Systems Dynamics or Agent-Based Modelling for Immune Simulation?
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    Chapter 11 Implementation of a Computational Model of the Innate Immune System
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    Chapter 12 Relevance of Pattern Recognition in a Non-deterministic Model of Immune Responses
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    Chapter 13 On the Analysis of the Immune-Inspired B-Cell Algorithm for the Vertex Cover Problem
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    Chapter 14 Variation in Artificial Immune Systems: Hypermutations with Mutation Potential
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    Chapter 15 Stochastic Search with Locally Clustered Targets: Learning from T Cells
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    Chapter 16 An AIS-Based Mathematical Programming Method
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    Chapter 17 Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm
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    Chapter 18 A Lymphocyte-Cytokine Network Inspired Algorithm for Data Analysis
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    Chapter 19 Inferring Systems of Ordinary Differential Equations via Grammar-Based Immune Programming
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    Chapter 20 Applying Antigen-Receptor Degeneracy Behavior for Misbehavior Response Selection in Wireless Sensor Networks
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    Chapter 21 Parameter Optimisation in the Receptor Density Algorithm
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    Chapter 22 An Engineering-Informed Modelling Approach to AIS
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    Chapter 23 Collective Self-detection Scheme for Adaptive Error Detection in a Foraging Swarm of Robots
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    Chapter 24 Principles and Methods of Artificial Immune System Vaccination of Learning Systems
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    Chapter 25 Immune System Inspired Reliable Query Dissemination in Wireless Sensor Networks
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    Chapter 26 Fault Detection in Analog Circuits Using a Fuzzy Dendritic Cell Algorithm
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    Chapter 27 A Memetic Immunological Algorithm for Resource Allocation Problem
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    Chapter 28 Artificial Immune System Based on Clonal Selection and Game Theory Principles for Multiobjective Optimization
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    Chapter 29 Tunable Immune Detectors for Behaviour-Based Network Intrusion Detection
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    Chapter 30 Population-Based Artificial Immune System Clustering Algorithm
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    Chapter 31 Artificial Immune Systems
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    Chapter 32 Towards a Mapping of Modern AIS and LCS
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    Chapter 33 Towards an Artificial Immune System for Online Fraud Detection
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    Chapter 34 Immune Approach for Neuro-Fuzzy Systems Learning Using Multiantibody Model
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    Chapter 35 The Danger Theory Applied To Vegetal Image Pattern Classification
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    Chapter 36 Further Exploration of the Fuzzy Dendritic Cell Method
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page
video
1 YouTube creator

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Artificial Immune Systems
Published by
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-22371-6
ISBNs
978-3-64-222370-9, 978-3-64-222371-6
Authors

Pietro Liò, Giuseppe Nicosia, Thomas Stibor

Editors

Liò, Pietro, Nicosia, Giuseppe, Stibor, Thomas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Engineering 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 March 2023.
All research outputs
#3,941,945
of 23,914,147 outputs
Outputs from Lecture notes in computer science
#878
of 8,168 outputs
Outputs of similar age
#25,359
of 186,360 outputs
Outputs of similar age from Lecture notes in computer science
#18
of 317 outputs
Altmetric has tracked 23,914,147 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,168 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 186,360 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.