Recent Advances in Artificial Immune Systems: Models and Applications

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Dasgupta, 2003, MILA – multilevel immune learning algorithm

Aickelin, 2002, The danger theory and its application to artificial immune systems

Greensmith, 2005, Introducing dendritic cells as a novel immune-inspired algorithm for anomaly detection

Yu, 2008, Conserved Self Pattern Recognition Algorithm

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Dasgupta, 2003, Artificial immune system (AIS) research in the last five years

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Garrett, 2005, How do we evaluate artificial immune systems?, Evolutionary Computation, 13, 145, 10.1162/1063656054088512

Kim, 2007, Immune system approaches to intrusion detection–a review, Natural Computing, 6, 413, 10.1007/s11047-006-9026-4

Hart, 2008, Application areas of AIS: the past, the present and the future, Applied Soft Computing, 8, 191, 10.1016/j.asoc.2006.12.004

Freschi, 2009, Multiobjective optimization and artificial immune systems: a review, 1

Ji, 2007, Revisiting negative selection algorithms, Evolutionary Computation, 15, 223, 10.1162/evco.2007.15.2.223

Gao, 2006, Genetic algorithms-based detector generation in negative selection algorithm

Gao, 2006, Clonal Optimization of Negative Selection Algorithm with Applications in Motor Fault Detection

Shapiro, 2005, An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection

Ostaszewski, 2006, Immune anomaly detection enhanced with evolutionary paradigms

Ostaszewski, 2007, Coevolutionary-based mechanisms for network anomaly detection, Journal of Mathematical Modelling and Algorithms, 6, 411, 10.1007/s10852-007-9061-x

Luo, 2006, A novel negative selection algorithm with an array of partial matching lengths for each detector

Luo, 2006, A heuristic detector generation algorithm for negative selection algorithm with hamming distance partial matching rule

Luo, 2007, A novel fast negative selection algorithm enhanced by state graphs

Luo, 2005, Evolutionary negative selection algorithms for anomaly detection

Luo, 2008, On convergence of Evolutionary Negative Selection Algorithms for anomaly detection

Xu, 2009, On average time complexity of evolutionary negative selection algorithms for anomaly detection

Zhanga, 2008, A hardware/software partitioning algorithm based on artificial immune principles, Applied Soft Computing, 8, 383, 10.1016/j.asoc.2007.03.003

Ma, 2008, Negative selection with antigen feedback in intrusion detection

Chmielewski, 2006, V-Detector algorithm with tree-based structures

Ciesielski, 2006, An immune network for contextual text data clustering

Stibor, 2005, Is negative selection appropriate for anomaly detection?

Ji, 2004, Real-valued negative selection using valuable-sized detectors

Stibor, 2006, Generalization regions in hamming negative selection

Stibor, 2006, On permutation masks in hamming negative selection

Stibor, 2007, Phase transition and the computational complexity of generating r-contiguous detectors

Stibor, 2008, An empirical study of self/non-self discrimination in binary data with a kernel estimator

Caldas, 2007, How to obtain appropriate executive decisions using artificial immunologic systems

Graaff, 2006, Optimized coverage of non-self with evolved lymphocytes in an artificial immune system, International Journal of Computational Intelligence Research (IJCIR), 2, 127

Amaral, 2007, Real-valued negative selection algorithm with a Quasi-Monte Carlo genetic detector generation

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Levy, 2002, Where numerics matter: matter: an introduction to quasi-random numbers, Financial Engineering News

Pacheco, 2007, The abstract immune system algorithm

Schmidtchen, 2006, Randomly evolving idiotypic networks: analysis of building principles

Brede, 2003, Patterns in randomly evolving networks: idiotypic networks, Physical Review E: Statistical Nonlinear Soft Matter Physics, 67, 10.1103/PhysRevE.67.031920

Coelho, 2006, omni-aiNet: an immune-inspired approach for omni optimization

Coelho, 2008, A multi-objective multipopulation approach for biclustering

Secker, 2008, An artificial immune system for evolving amino acid clusters tailored to protein function prediction

Cui, 2007, Computer prediction of allergen proteins from sequence-derived protein structural and physicochemical properties, Molecular Immunology, 44, 514, 10.1016/j.molimm.2006.02.010

Christopoulos, 2002, G protein-coupled receptor allosterism and complexing, Pharmacological Review, 54, 323, 10.1124/pr.54.2.323

Takehara, 2006, Artificial immune systems applied to optimal capacitor placement in radial distribution networks

Stibor, 2007, An investigation on the compression quality of aiNet

Ciccazzo, 2008, An advanced clonal selection algorithm with ad hoc network-based hypermutation operators for synthesis of topology and sizing of analog electrical circuits

Halavati, 2007, An artificial immune system with partially specified antibodies

May, 2007, Immune and evolutionary approaches to software mutation testing

Cutello, 2007, An immune algorithm for protein structure prediction on lattice models, IEEE Transactions on Evolutionary Computation, 11, 101, 10.1109/TEVC.2006.880328

Wilson, 2006, Price trackers inspired by immune memory

Matzinger, 2002, The danger model: a renewed sense of self, Science, 296, 301, 10.1126/science.1071059

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Greensmith, 2004, Detecting danger: applying a novel immunological concept to intrusion detection systems

Prieto, 2008, A goalkeeper strategy in robot soccer based on Danger Theory

Iqbal, 2005, Danger theory and intelligent data processing

Secker, 2005, Towards a danger theory inspired artificial immune system for web mining, 145

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Jamie, 2004, Towards a conceptual framework for innate immunity

Yeom, 2007, Immune-inspired algorithm for anomaly detection. I

Greensmith, 2006, Articulation and clarification of the dendritic cell algorithm

Gu, 2008, Further exploration of the dendritic cell algorithm: antigen multiplier and time windows

Oates, 2007, The application of a dendritic cell algorithm to a robotic classifier

Greensmith, 2008, The deterministic dendritic cell algorithm

Manzoor, 2009, A sense of ‘danger’ for windows processes

Kim, 2006, Danger is ubiquitous: detecting malicious activities in sensor networks using the dendritic cell algorithm

Greensmith, 2007, Dendritic cells for SYN scan detection

Greensmith, 2010, Information fusion for anomaly detection with the dendritic cell algorithm, Information Fusion, 11, 21, 10.1016/j.inffus.2009.04.006

Mazhar, 2008, A sense of danger: dendritic cells inspired artificial immune system for manet security

Aickelin, 2007

Wang, 2008, A complex artificial immune system

Castro, 2008, MOBAIS: a Bayesian artificial immune system for multi-objective optimization

Castro, 2009, BAIS: a Bayesian artificial immune system for the effective handling of building blocks, Information Sciences, 179, 1426, 10.1016/j.ins.2008.11.040

Castro, 2008, Feature subset selection by means of a Bayesian artificial immune system

Castro, 2010, Multi-objective feature selection using a Bayesian artificial immune system, International Journal of Intelligent Computing and Cybernetics, 3, 235, 10.1108/17563781011049188

Castro, 2009, Multi-objective Bayesian artificial immune system: empirical evaluation and comparative analyses, Journal of Mathematical Modelling and Algorithms, 8, 151, 10.1007/s10852-009-9108-2

Chen, 2009, Unsupervised structure damage classification based on the data clustering and artificial immune pattern recognition

Aydin, 2007, Artificial immune based support vector machine algorithm for fault diagnosis of induction motors

Qiu, 2007, Study on multi agent recognizer model based on immune RBF neural network

Zhong, 2007, A supervised artificial immune classifier for remote-sensing imagery, IEEE Transactions on Geoscience and Remote Sensing, 45, 3957, 10.1109/TGRS.2007.907739

Li, 2007, An efficient artificial immune network with elite-learning

Deng, 2007, An artificial immune network approach for pattern recognition

Fu, 2007, A hybrid artificial immune network with swarm learning

Yang, 2008, Network fault diagnosis: an artificial immune system approach

Mendao, 2007, The immune system in pieces: computational lessons from degeneracy in the immune system

Liu, 2008, A modified resource limited artificial immune system

Zhang, 2008, A gene immune detection algorithm with complement operator on the basis of biological immune principles

Li, 2008, ICAIS: a novel incremental clustering algorithm based on artificial immune systems

Izadinia, 2009, A hybrid fuzzy neuro-immune network based on multi-epitope approach

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Hunt, 1999, Jisys: the development of an artificial immune system for real world applications, 157

Timmis, 2001, A resource limited artificial immune system for data analysis, Knowledge Based System, 14, 121, 10.1016/S0950-7051(01)00088-0

Hart, 2002, Exploiting the analogy between immunology and sparse distributed memories: a system for clustering non-stationary data

Knight, 2002, A multi-layered immune inspired approach to data mining

Nasraoui, 2002, A novel artificial immune system approach to robust data mining

Nasraoui, 2003, A scalable artificial immune system model for dynamic unsupervised learning

Nasraoui, 2002, The fuzzy AIS: motivations, basic concepts, and applications to clustering and web profiling

Neal, 2002, An artificial immune system for continuous analysis of time-varying data

Watkins, 2002, Artificial immune recognition system (AIRS): Revisions and refinements

Watkins, 2002, A resource limited artificial immune classifier

Wierzchon, 2002, Stable clusters formation in an artificial immune system

Castro, 2001, aiNet: an artificial immune network for data analysis, 231

Castro, 2002, An artificial immune network for multimodal optimization

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Twycross, 2007, Integrated innate and adaptive artificial immune systems applied to process anomaly detection

Golzari, 2008, Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification

Puteh, 2008, Flexible immune network recognition system for mining heterogeneous data

Dal, 2008, Evolution induced secondary immunity: an artificial immune system based intrusion detection system

Shafiq, 2008, Improving accuracy of immune-inspired malware detectors by using intelligent features

Zhang, 2008, A novel intrusion detection model based on danger theory

Gong, 2008, Multiobjective immune algorithm with nondominated neighbor-based selection, Evolutionary Computation, 16, 225, 10.1162/evco.2008.16.2.225

Masutti, 2008, A neuro-immune algorithm to solve the capacitated vehicle routing problem

Vieira, 2008, Optimization of steel catenary risers for offshore oil production using artificial immune system

Honório, 2008, Dynamic polymorphic agents scheduling and execution using artificial immune systems

Yu, 2008, Optimizing task schedules using an artificial immune system approach

Godfrey, 2008, An immune system based multi-robot mobile agent network

Ko, 2008, AIS based distributed wireless sensor network for mobile search and rescue robot tracking

Liu, 2008, A neuro-immune inspired robust real time visual tracking system

Whitbrook, 2008, An idiotypic immune network as a short-term learning architecture for mobile robots

Chen, 2008, A virtual and real HCI system based on artificial immune system

Xuepeng, 2008, Immune PI control on PMSM speed regulating system

Gadi, 2008, Credit card fraud detection with artificial immune system

Wilson, 2008, The motif tracking algorithm, International Journal of Automation and Computing, 5, 32, 10.1007/s11633-008-0032-0

Jung, 2008, AIS-based bootstrapping of Bayesian networks for identifying protein energy route

Chen, 2008, Artificial immune recognition system for DNA microarray data analysis

Abi-Haidar, 2008, Adaptive spam detection inspired by a cross-regulation model of immune dynamics: a study of concept drift

Albergante, 2008, Wireless discussion forums: automatic management via artificial immune systems

C.-M. Wang, C.-T. Kuo, C.-Y. Lin, G.-H. Chang, Application of artificial immune system approach in MRI classification, EURASIP Journal on Advances in Signal Processing, 2008 (Article ID 547684, 8 pages, 2008) doi:10.1155/2008/547684.

Zheng, 2008, Research on vehicle image classifier based on concentration regulating of immune clonal selection

Li, 2009, Medical image registration based on more features and artificial immune algorithm