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Title |
Authors |
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(Stibor et al, 05) |
A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques
Article: International Conference on Artificial Immune Systems (ICARIS), LNCS Vol. 3627, pp. 262-275 Springer
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Stibor, Thomas
Timmis, Jon
Eckert, C
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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2005
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(Balachandran et al, 06) |
A General Framework for Evolving Multi-Shaped Detectors in Negative Selection
Article: NOT YET PUBLISHED!
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Balachandran, Sankalp
Dasgupta, Dipankar
Nino, Fernando
Garrett, Deon
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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Jan 2006
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(Knight et al, 02) |
A Multi-Layered Immune Approach to Data Mining
Conference Paper: 4th International Conference on Recent Advances in Soft Computing, Proceedings
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Knight, Thomas
Timmis, Jon
Adolphs, Ralph
Hawkins, John
Boden, Mikael
Abraham, Ajith
Giles, C Lee
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
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Dec 2002
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(Antonisse, 89) |
A new interpretation of schema notation that overturns the binary encoding constraint
Conference Paper: Third international conference on genetic algorithms, 1989 Morgan Kaufmann Publishers
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Antonisse, Jim
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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1989
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(Blanco et al, 01) |
A real-coded genetic algorithm for training recurrent neural networks
Collection Part: IEEE Transactions on Neural Networks, Vol. 14 No. 1 pp. 93-105 IEEE Press
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Blanco, A
Delgado, M
Pegalajar, M C
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
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2001
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(Freitas et al, 02) |
A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery
Collection Part: Advances In Evolutionary Computation Springer
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Freitas, Alex A
Adolphs, Ralph
Boden, Mikael
Hawkins, John
Abraham, Ajith
Giles, C Lee
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
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2002
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(Dasgupta, 06) |
Advances in Artificial Immune Systems
Collection Part: IEEE Computational Intelligence Magazine, November 2006, Vol. 1 No. 4, pp. 40-49 IEEE Press
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Dasgupta, Dipankar
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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Nov 2006
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(Secker et al, 03) |
AISEC: an Artificial Immune System for E-mail Classification
Conference Paper: CEC 2003, Proceedings IEEE Press
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Secker, Andrew
Freitas, Alex A
Timmis, Jon
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
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Dec 2003
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(Timmis et al, 01) |
aiVIS - Artificial Immune Network Visualisation
Conference Paper: EuroGraphics UK 2001 Conference Proceedings
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Timmis, Jon
Adolphs, Ralph
Boden, Mikael
Hawkins, John
Abraham, Ajith
Giles, C Lee
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
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Apr 2001
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(Ozesmi and Ozesmi, 99) |
An artificial neural network approach to spatial habitat modelling with interspecific interaction
Collection Part: Ecological Modelling, Vol.116 No. 1 pp. 15-31 Elsevier
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Ozesmi, S L
Ozesmi, U
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
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Mar 1999
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(Goodman et al, 03) |
An Investigation into the Source of Power for AIRS, an Artificial Immune Classification System
Article: Proceedings of the International Joint Conference on Neural Networks (IJCNN'03) IEEE Press
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Goodman, Donald E
Boggess, Lois
Watkins, Andrew
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
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Jul 2003
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(Taylor and Corne, 03) |
An Investigation of the Negative Selection Algorithm for Fault Detection in Refrigeration Systems
Conference Paper: ICARIS 2003, Proceedings Springer
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Taylor, Dan W
Corne, David
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
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Sep 2003
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(Dasgupta et al, 02) |
Anomaly Detection in Multidimensional Data Using Negative Selection Algorithm
Conference Paper: Proceedings CEC 2002, Vol. 2, pp. 1039-1044 IEEE Press
|
Dasgupta, Dipankar
Majumdar, Nivedita Sumi
Boden, Mikael
Hawkins, John
Adolphs, Ralph
Abraham, Ajith
Giles, C Lee
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Statistics
Time Series Prediction
Visualisation
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May 2002
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(Ji et al, 06) |
Applicability issues of the real-valued negative selection algorithms
Conference Paper: Proceedings of the 8th annual conference on Genetic and evolutionary computation (GECCO), pp. 111-118
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Ji, Zhou
Dasgupta, Dipankar
Adolphs, Ralph
Hawkins, John
Boden, Mikael
Abraham, Ajith
Giles, C Lee
Berry, M
Esponda, Fernando
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Statistics
Time Series Prediction
Visualisation
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2006
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(Hart and Timmis, 05) |
Application Areas of AIS: Past, Present and Future
Conference Paper: International Conference on Artificial Immune Systems (ICARIS), LNCS Vol. 3627, pp. 483-497 Springer
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Hart, Emma
Timmis, Jon
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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2005
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(Watkins and Timmis, 02) |
Artificial Immune Recognition System (AIRS): Revisions and Refinements
Conference Paper: ICARIS 2002, Proceedings University of Kent at Canterbury Printing Unit
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Watkins, Andrew
Timmis, Jon
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
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Sep 2002
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(Dasgupta et al, 03) |
Artificial immune system (AIS) research in the last five years
Conference Paper: Proceedings of the 2003 Congress on Evolutionary Computation, (CEC '03) Vol. 1 pp. 123- 130
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Dasgupta, Dipankar
Ji, Zhou
Gonzalez, Fabio
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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Dec 2003
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(de Castro and Timmis, 02) |
Artificial Immune Systems: A Novel Paradigm to Pattern Recognition
Collection Part: Artificial Neural Networks in Pattern Recognition University of Paisley
|
de Castro, Leandro N
Timmis, Jon
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AIS
Pattern Recognition
|
2002
|
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(Abraham, 05) |
Artificial Neural Networks
Collection Part: Handbook of Measuring System Design John Wiley and Sons Ltd
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Abraham, Ajith
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
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2005
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(Ji et al, 04) |
Augmented negative selection algorithm with variable-coverage detectors
Conference Paper: Proceedings of the 2004 Congress on Evolutionary Computation (CEC '04), Vol. 1, pp. 1081-1088 IEEE Press
|
Ji, Zhou
Dasgupta, Dipankar
Adolphs, Ralph
Boden, Mikael
Hawkins, John
Abraham, Ajith
Giles, C Lee
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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Jun 2004
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(Goh, 95) |
Backpropagation Neural Networks for Modeling Complex Systems
Collection Part: Artificial Intelligence in Engineering, Vol. 9 No. 3 pp. 143–151 Elsevier
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Goh, A T C
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
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1995
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(Solla, 92) |
Capacity control in classifiers for pattern recognition
Conference Paper: Neural Networks for Signal Processing II, Proceedings of the 1992 IEEE-SP Workshop IEEE Press
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Solla, Sara A
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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Aug 1992
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(Pratt et al, 94) |
Case Studies in the Use of a Hyperplane Animator for Neural Network Research
Article: World Congress on Computational Intelligence (WCCI 1994) IEEE Press
|
Pratt, Lori
Nicodemus, Steve
Boden, Mikael
Hawkins, John
Adolphs, Ralph
Abraham, Ajith
Giles, C Lee
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Statistics
Time Series Prediction
Visualisation
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1994
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(Axell and Fahlen, 02) |
Climatic influence on display cabinet performance
Conference Paper: New technologies in commercial refrigeration, Urbana, IL, International Institute of Refrigeration Commissions B1 and D1
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Axell, M
Fahlen, P
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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2002
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(Schaffer et al, 92) |
Combinations of genetic algorithms and neural networks: A survey of the state of the art
Conference Paper: COGANN-92 International Workshop on Combinations of Genetic Algorithms and Neural Networks IEEE Press
|
Schaffer, J D
Whitley, D
Eshelman, L J
Adolphs, Ralph
Hawkins, John
Boden, Mikael
Abraham, Ajith
Giles, C Lee
Berry, M
Esponda, Fernando
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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1992
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(Gonzalez et al, 02) |
Combining negative selection and classification techniques for anomaly detection
Conference Paper: Proceedings of the 2002 Congress on Evolutionary Computation (CEC '02), pp. 705–710 IEEE Press
|
Gonzalez, Fabio
Dasgupta, Dipankar
Kozma, R
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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2002
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(Giles et al, 95) |
Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution
Collection Part: IEEE Transactions on Neural Networks, Vol. 6 No. 4 pp. 829-836 IEEE Press
|
Giles, C Lee
Chen, D G
Sun, Guo-Zheng
Chen, Hsing-Hen
Lee, Yee-Chung
Goudreau, M W
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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Jul 1995
|
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(Scardi and Harding, 99) |
Developing an empirical model of phytoplankton primary production: a neural network case study
Collection Part: Ecological Modelling, Vol. 120 No. 2-3 pp. 213-223 Elsevier
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Scardi, Michele
Harding, Lawrence W
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
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1999
|
|
(Zeng et al, 94) |
Discrete recurrent neural networks for grammatical inference
Collection Part: IEEE Transactions on Neural Networks, Vol. 5 No. 2 pp. 320-330 IEEE Press
|
Zeng, Zheng
Goodman, R M
Smyth, P
Adolphs, Ralph
Hawkins, John
Boden, Mikael
Abraham, Ajith
Giles, C Lee
Berry, M
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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Mar 1994
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(Hinton et al, 86) |
Distributed Representations
Book Part: In Rumelhart, D. E. and McClelland, J. L., editors, Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Volume 1: Foundations MIT Press, Cambridge, MA
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Hinton, G E
McClelland, J L
Rumelhart, D E
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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1986
|
|
(Dailey et al, 02) |
EMPATH: A Neural Network that Categorizes Facial Expressions
Article: Journal of Cognitive Neuroscience, Vol. 14 No. 8
|
Dailey, Matthew N
Cottrell, Garrison W
Padgett, Curtis
Adolphs, Ralph
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
2002
|
|
(Ji and Dasgupta, 05) |
Estimating the detector coverage in a negative selection algorithm
Article: Proceedings of the 2005 conference on Genetic and evolutionary computation (CEC '05) pp. 281 - 288
|
Ji, Zhou
Dasgupta, Dipankar
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
2005
|
|
(Yao, 99) |
Evolving Artificial Neural Networks
Article: Proceedings of the IEEE, Vol. 87 No. 9 pp. 1423-1447 IEEE Press
|
Yao, Xin
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
1999
|
|
(Belew et al, 90) |
Evolving Networks: Using the Genetic Algorithm with Connectionist Learning
Technical Report: CSE Technical Report CS90-174, University of California, San Diego
|
Belew, Richard K
McInerney, John
Schraudolph, Nicol N
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
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1990
|
|
(Wieland, 91) |
Evolving neural network controllers for unstable systems
Conference Paper: IJCNN-91, International Joint Conference on Neural Networks IEEE Press
|
Wieland, A P
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
Jul 1991
|
|
(Knowles and Corne, 00) |
Evolving Neural Networks for Cancer Radiotherapy
Book Part: Practical Handbook of Genetic Algorithms: Applications, 2nd Edition Chapman Hall
|
Knowles, J D
Corne, David
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
2000
|
|
(Mandischer, 95) |
Evolving recurrent neural networks with non-binary encoding
Conference Paper: IEEE International Conference on Evolutionary Computation, 1995 IEEE Press
|
Mandischer, M
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
|
Nov 1995
|
|
(Miller et al, 93) |
Experimental comparison of the effect of order in recurrent neural networks
Article: International journal of pattern recognition and artificial intelligence, Vol. 7 No. 4 pp. 849-872 World Scientific
|
Miller, C B
Giles, C Lee
Guyon, I
Wang, P S P
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
1993
|
|
(Datta et al, 98) |
Experimental investigation into frost formation on display cabinet evaporators in order to implement defrost on demand
Conference Paper: 7th International Refrigeration Conference, Purdue
|
Datta, D
Tassou, S A
Marriott, D
Adolphs, Ralph
Boden, Mikael
Hawkins, John
Abraham, Ajith
Giles, C Lee
Berry, M
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Statistics
Time Series Prediction
Visualisation
|
1998
|
|
(Mohr et al, 04) |
Exploiting Immunological Properties for Ubiquitous Computing Systems
Conference Paper: ICARIS 2004, Proceedings Springer
|
Mohr, Philipp H
Ryan, Nick
Timmis, Jon
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
Sep 2004
|
|
(Watkins et al, 04) |
Exploiting the Parallelism Inherent in AIRS, an Artificial Immune Classifier
Conference Paper: ICARIS 2004, Proceedings Springer
|
Watkins, Andrew
Timmis, Jon
Hawkins, John
Boden, Mikael
Adolphs, Ralph
Abraham, Ajith
Giles, C Lee
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
Sep 2004
|
|
(Elman, 90) |
Finding Structure in Time
Collection Part: Cognitive Science, Vol. 14, No. 2, pp. 179-211
|
Elman, Jeffrey L
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
1990
|
|
(Fogel, 06) |
Foundations of Evolutionary Computation
Conference Paper: Modeling and Simulation for Military Applications, M. Blowers (chair), SPIE, Orlando, FL, pp. 1-13
|
Fogel, David B
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
2006
|
|
(Datta and Tassou, 98) |
Frost formation and demand defrost of display cabinet evaporators
Conference Paper: IIF-IIR Commission B2 and C2 with C1 and D2/3
|
Datta, D
Tassou, S A
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
1998
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|
(Olden and Jackson, 02) |
Illuminating the ‘‘black box’’: a randomization approach for understanding variable contributions in artificial neural networks
Collection Part: Ecological Modelling, Vol. 154 No. 1-2 pp. 135-150 Elsevier
|
Olden, J D
Jackson, Donald A
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
2002
|
|
(Dasgupta et al, 04) |
Immunity-Based Aircraft Fault Detection System
Conference Paper: AIAA 1st Intelligent Systems Technical Conference. pp. 1-14
|
Dasgupta, Dipankar
Krishna Kumar, K
Wong, D
Berry, M
Adolphs, Ralph
Boden, Mikael
Hawkins, John
Abraham, Ajith
Giles, C Lee
|
AIS
Fault Detection/Prediction
Pattern Recognition
|
2004
|
|
(Oda and White, 03) |
Increasing the Accuracy of a Spam-Detecting Artificial Immune System
Conference Paper: CEC 2003, Proceedings IEEE Press
|
Oda, Terri
White, Tony
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
Dec 2003
|
|
(Taylor and Corne, 04) |
Innate and Acquired Immunity in Real Time Systems
Conference Paper: International Conference on Hybrid Intelligent Systems 2004, (HIS'04) Proceedings
|
Taylor, Dan W
Corne, David
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
Nov 2004
|
|
(Andrews and Timmis, 05) |
Inspiration for the Next Generation of Artificial Immune Systems
Conference Paper: International Conference on Artificial Immune Systems (ICARIS), LNCS Vol. 3627, pp. 126-138 Springer
|
Andrews, P
Timmis, Jon
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
2005
|
|
(Garson, 91) |
Interpreting neural-network connection weights
Collection Part: AI Expert, Vol. 6 No. 4 pp. 46-51 Miller Freeman, Inc
|
Garson, G. David
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
Apr 1991
|
|
(Stibor et al, 05) |
Is negative selection appropriate for anomaly detection?
Conference Paper: Proceedings of Genetic and Evolutionary Computation Conference (GECCO), pp.321-328 ACM Press
|
Stibor, Thomas
Mohr, Philipp H
Timmis, Jon
Eckert, C
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
2005
|
|
(Bengio et al, 94) |
Learning Long Term Dependencies with Gradient Descent is Difficult
Article: IEEE Transactions on Neural Networks, Vol. 5 No. 2 pp. 157-166 IEEE Press
|
Bengio, Yoshua
Simard, Patrice
Frasconi, Paolo
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
1994
|
|
(Hanson, 90) |
Meiosis networks
Conference Paper: Advances in neural information processing systems 2, pp. 533-541 MIT Press
|
Hanson, Stephen José
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
1990
|
|
(Dasgupta and Majumdar, 05) |
MILA – multilevel immune learning algorithm and its application to anomaly detection
Collection Part: Soft Computing - A Fusion of Foundations, Methodologies and Applications, Vol. 9, No. 3, pp. 172-184 Springer
|
Dasgupta, Dipankar
Majumdar, Nivedita Sumi
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
Mar 2005
|
|
(Hornik et al, 89) |
Multilayer feedforward networks are universal approximators
Collection Part: Neural Networks Elsevier
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Hornik, K
Stinchcombe, M
White, H
Hawkins, John
Adolphs, Ralph
Boden, Mikael
Abraham, Ajith
Giles, C Lee
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
1989
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|
(Dasgupta et al, 04) |
Negative Selection Algorithm for Aircraft Fault Detection
Conference Paper: Proceedings ICARIS 2004, pp. 1-13 Springer
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Dasgupta, Dipankar
Krishna Kumar, K
Wong, D
Berry, M
|
AIS
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
|
Sep 2004
|
|
(Dimopoulos et al, 99) |
Neural network models to study relationships between lead concentration in grasses and permanent urban descriptors in Athens city (Greece)
Collection Part: Ecological Modelling, Vol. 120 No. 2-3 pp. 157-165 Elsevier
|
Dimopoulos, Ioannis
Chronopoulos, J
Chronopoulou-Sereli, A
Lek, Sovan
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
Aug 1999
|
|
(Wejchert and Tesauro, 89) |
Neural Network Visualization
Conference Paper: Advances in neural information processing systems 2 pp. 465-472
|
Wejchert, Jakub
Tesauro, Gerald
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AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
1989
|
|
(Giles et al, 01) |
Noisy Time Series Prediction Using a Recurrent Neural Network and Grammatical Inference
Article: Machine Learning, Vol. 44 No. 1/2 pp. 161-183 Springer
|
Giles, C Lee
Lawrence, Steve
Tsoi, Ah Chung
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
Aug 2001
|
|
(Streeter et al, 01) |
NVIS: An interactive visualization tool for neural networks
Collection Part: Proc. SPIE Vol. 4302 pp. 234-241, Visual Data Exploration and Analysis VIII, Robert F. Erbacher; Philip C. Chen; Jonathan C. Roberts; Craig M. Wittenbrink; Matti Groehn; Eds.
|
Streeter, Matthew J
Ward, Matthew O
Alvarez, Sergio A
Adolphs, Ralph
Hawkins, John
Boden, Mikael
Abraham, Ajith
Giles, C Lee
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
Jun 2001
|
|
(Andrews and Timmis, 05) |
On Diversity and Artificial Immune Systems: Incorporating a Diversity Operator into aiNET
Conference Paper: Proceedings of WIRN/NAIS, LNCS Vol. 391, pp. 293-306
|
Andrews, P
Timmis, Jon
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
Jun 2005
|
|
(Stibor et al, 05) |
On the Appropriateness of Negative Selection defined over Hamming Shape Space As a Network Intrustion Detection System
Conference Paper: Proceedings of the Congress on Evolutionary Computation (CEC)
|
Stibor, Thomas
Timmis, Jon
Eckert, C
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
2005
|
|
(Aickelin and Cayzer, 02) |
On the Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems
Conference Paper: ICARIS 2002, Proceedings University of Kent at Canterbury Printing Unit
|
Aickelin, Uwe
Cayzer, Steve
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
Sep 2002
|
|
(Stibor et al, 06) |
On the Use of Hyperspheres in Artificial Immune Systems as Antibody Recognition Regions
Conference Paper: Proceedings of the 5th International Conference on Artificial Immune Systems (ICARIS-2006), LNCS Vol.4163, pp. 215-228 Springer
|
Stibor, Thomas
Timmis, Jon
Eckert, C
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
Sep 2006
|
|
(Esponda et al, 04) |
Online Negative Databases
Conference Paper: ICARIS 2004, Proceedings Springer
|
Esponda, Fernando
Ackley, Elena S
Forrest, Stephanie
Helman, Paul
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
Sep 2004
|
|
(Le Cun et al, 90) |
Optimal brain damage
Conference Paper: Advances in neural information processing systems 2, pages 598--605 MIT Press
|
Le Cun, Yann
Denker, John S
Solla, Sara A
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
1990
|
|
(Stribling et al, 97) |
Optimisation of design of refrigerated display cases using computational fluid dynamics
Collection Part: Australia Institute of Refrigeration, Air Conditioning and Heating (AIRAH) Journal
|
Stribling, D
Tassou, S A
Marriott, D
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Statistics
Time Series Prediction
Visualisation
|
1997
|
|
(Taylor et al, 02) |
Predicting Alarms in Supermarket Refrigeration Systems Using Evolved Neural Networks and Evolved Rulesets
Conference Paper: World Congress on Computational Intelligence (WCCI-2002), Proceedings IEEE Press
|
Taylor, Dan W
Corne, David
Taylor, David
Harkness, Jack
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
May 2002
|
|
(Giles and Omlin, 94) |
Pruning recurrent neural networks for improved generalization performance
Collection Part: IEEE Transactions on Neural Networks, Vol. 5 No. 5 pp. 848-851 IEEE Press
|
Giles, C Lee
Omlin, C W
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Time Series Prediction
Visualisation
|
Sep 1994
|
|
(Sung, 98) |
Ranking Importance of Input Parameters Of Neural Networks
Collection Part: Expert Systems with Applications, Vol. 15 pp. 405–411 Elsevier
|
Sung, A H
|
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
|
1998
|