welsberr
/
Operational-Premise-Taxonomy
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
Operational-Premise-Taxonomy/doc/references.bib

766 lines
24 KiB
BibTeX
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

@book{AIMA4,
author = {Russell, Stuart Jonathan and Norvig, Peter},
title = {{Artificial Intelligence: A Modern Approach}},
year = {2020},
month = apr,
isbn = {978-0-13461099-3},
publisher = {Pearson},
address = {London, England, UK},
url = {https://books.google.com/books/about/Artificial_Intelligence.html?id=koFptAEACAAJ}
}
@book{AIMA4_AI,
author = {Stuart J. Russell and Peter Norvig},
title = {Artificial Intelligence: A Modern Approach},
edition = {4th},
year = {2020},
publisher = {Pearson},
isbn = {978-0134610993},
url = {https://aima.cs.berkeley.edu/},
bibsource = {ChatGPT},
eval = {}
}
@book{CIBook,
author = {Fogel, David B. and Liu, Derong and Keller, James M.},
title = {{Fundamentals of Computational Intelligence}},
journal = {Wiley Online Library},
year = {2016},
month = jun,
isbn = {978-1-11921434-2},
doi = {10.1002/9781119214403}
}
@book{CIbook_AI,
author = {Ognjen Kukolj},
title = {Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation},
year = {2016},
publisher = {Wiley},
doi = {10.1002/9781119093306},
isbn = {9781119093269},
bibsource = {ChatGPT},
eval = {Messed up: author; Correct: title, year, publisher; Discrepant: isbn, doi}
}
@book{CIsurvey,
author = {James M. Keller and Derong Liu and David B. Fogel},
title = {Fundamentals of Computational Intelligence: Fuzzy, Neural, and Evolutionary Computation},
year = {2016},
publisher = {IEEE Press / Wiley},
bibsource = {ChatGPT},
isbn = {9781119214350}
}
@misc{CLIPS,
author = {{NASA/JSC}},
title = {CLIPS: C Language Integrated Production System},
year = {1986},
howpublished = {\url{https://www.clipsrules.net/}},
bibsource = {ChatGPT},
}
@article{CarpenterGrossberg1987ART1,
author = {Gail A. Carpenter and Stephen Grossberg},
title = {ART 1: Self-Organizing Pattern Recognition with a Stability-Plasticity Dilemma},
journal = {Neural Networks},
year = {1987},
volume = {1},
number = {1},
pages = {71--102},
doi = {10.1016/0893-6080(88)90020-3},
bibsource = {ChatGPT}
}
@article{CarpenterGrossberg1987ART2,
author = {Gail A. Carpenter and Stephen Grossberg},
title = {ART 2: Self-Organization of Stable Category Recognition Codes for Analog Input Patterns},
journal = {Applied Optics},
year = {1987},
volume = {26},
number = {23},
pages = {4919--4930},
doi = {10.1364/AO.26.004919},
bibsource = {ChatGPT}
}
@article{EFSTaxonomy,
author = {Oscar Cord{\'o}n and Francisco Herrera and Roberto Alcal{\'a} and Luis Magdalena},
title = {Revisiting Evolutionary Fuzzy Systems: Taxonomy, Applications, and Challenges},
journal = {Knowledge-Based Systems},
volume = {80},
pages = {109--121},
year = {2015},
doi = {10.1016/j.knosys.2015.01.013},
bibsource = {ChatGPT}
}
@misc{EUAnnex,
author = {{European Parliament and Council of the European Union}},
title = {Artificial Intelligence Act -- Annex~I: Artificial Intelligence Techniques and Approaches},
year = {2023},
howpublished = {\url{https://artificialintelligenceact.eu/annex-i-artificial-intelligence-techniques-and-approaches/}},
note = {Consolidated explanatory version accessed 2025-11-11},
bibsource = {ChatGPT}
}
@misc{EUAIAct,
title = {Regulation (EU) 2024/1689 of the European Parliament and of the Council on Artificial Intelligence (AI Act)},
howpublished = {Official Journal of the European Union, 12 July 2024},
year = {2024},
url = {https://eur-lex.europa.eu/eli/reg/2024/1689/oj},
bibsource = {ChatGPT}
}
% --- Textbooks & Surveys
@article{FuzzySurvey,
author = {Alcala-Fdez, Jesus and Alonso, Jose M.},
title = {{A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends and Prospects}},
journal = {IEEE Trans. Fuzzy Syst.},
volume = {24},
number = {1},
pages = {40--56},
year = {2016},
month = feb,
issn = {1063-6706},
publisher = {IEEE (Institute of Electrical and Electronics Engineers)},
doi = {10.1109/TFUZZ.2015.2426212}
}
@article{FuzzySurvey-AI-badcite,
author = {Jes{\'u}s Alcal{\'a}-Fdez and Jos{\'e} M. Alonso},
title = {A Survey of Fuzzy Systems Software: Taxonomy, Trends, and Prospects},
journal = {Information Sciences},
volume = {377},
pages = {233--257},
year = {2017},
doi = {10.1016/j.ins.2016.10.040},
bibsource = {ChatGPT},
eval = {Wrong journal, year, volume, pages}
}
@article{Grossberg1976InstarOutstar,
author = {Stephen Grossberg},
title = {Adaptive Pattern Classification and Universal Recoding},
journal = {Biological Cybernetics},
year = {1976},
volume = {23},
pages = {121--134},
doi = {10.1007/BF00344744},
bibsource = {ChatGPT}
}
@article{Hart1968AStar,
author = {Peter E. Hart and Nils J. Nilsson and Bertram Raphael},
title = {A Formal Basis for the Heuristic Determination of Minimum Cost Paths},
journal = {IEEE Transactions on Systems Science and Cybernetics},
year = {1968},
volume = {4},
number = {2},
pages = {100--107},
doi = {10.1109/TSSC.1968.300136},
bibsource = {ChatGPT}
}
@book{Hebb1949,
author = {Hebb, Donald Olding},
title = {{The Organization of Behavior: A Neuropsychological Theory}},
year = {1949},
isbn = {978-0-47136727-7},
publisher = {Wiley},
address = {Hoboken, NJ, USA},
url = {https://books.google.com/books/about/The_Organization_of_Behavior.html?id=dZ0eDiLTwuEC}
}
@article{Hebb1949_AI,
author = {Donald O. Hebb},
title = {The Organization of Behavior: A Neuropsychological Theory},
journal = {Wiley},
year = {1949},
bibsource = {ChatGPT}
}
@article{Brown2020Dec,
author = {Brown, Richard E.},
title = {{Donald O. Hebb and the Organization of Behavior: 17 years in the writing}},
journal = {Molecular Brain},
volume = {13},
number = {1},
year = {2020},
month = dec,
issn = {1756-6606},
publisher = {Springer Nature},
doi = {10.1186/s13041-020-00567-8},
abstract = {The Organization of Behavior has played a significant part in the development of behavioural neuroscience for the
last 70 years. This book introduced the concepts of the “Hebb synapse”, the “Hebbian cell assembly”and the “Phase
sequence”. The most frequently cited of these is the Hebb synapse, but the cell assembly may be Hebb’s most
important contribution. Even after 70 years, Hebb’s theory is still relevant because it is a general framework for
relating behavior to synaptic organization through the development of neural networks. The Organization of
Behavior was Hebb’s 40th publication. His first published papers in 1937 were on the innate organization of the
visual system and he first used the phrase “the organization of behavior”in 1938. However, Hebb wrote a number
of unpublished papers between 1932 and 1945 in which he developed the ideas published in The Organization of
Behavior. Thus, the concept of the neural organization of behavior was central to Hebb’s thinking from the
beginning of his academic career. But his thinking about the organization of behavior in 1949 was different from
what it was between 1932 and 1937. This paper examines Hebb’s early ideas on the neural basis of behavior and
attempts to trace the rather arduous series of steps through which he developed these ideas into the book that
was published as The Organization of Behavior. Using the 1946 typescript and Hebb’s correspondence we can see a
number of changes made in the book before it was published. Finally, a number of issues arising from the book,
and the importance of the book today are discussed.}
}
@article{HintonSejnowski1985BM,
author = {Geoffrey E. Hinton and Terrence J. Sejnowski},
title = {Learning and Relearning in {B}oltzmann Machines},
journal = {Parallel Distributed Processing},
year = {1986},
volume = {1},
pages = {282--317},
bibsource = {ChatGPT}
}
@book{Holland1975Adaptation,
author = {John H. Holland},
title = {Adaptation in Natural and Artificial Systems},
year = {1975},
publisher = {University of Michigan Press},
bibsource = {ChatGPT}
}
@article{HopfieldTank1985TSP,
author = {John J. Hopfield and David W. Tank},
title = {``Neural'' Computation of Decisions in Optimization Problems},
journal = {Biological Cybernetics},
year = {1985},
volume = {52},
pages = {141--152},
doi = {10.1007/BF00339943},
bibsource = {ChatGPT}
}
@standard{ISO22989,
title = {Information technology — Artificial intelligence — Concepts and terminology},
organization = {ISO/IEC},
number = {ISO/IEC 22989:2022},
year = {2022},
url = {https://www.iso.org/standard/74296.html},
bibsource = {ChatGPT}
}
@standard{ISO23053,
title = {Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)},
organization = {ISO/IEC},
number = {ISO/IEC 23053:2022},
year = {2022},
url = {https://www.iso.org/standard/74438.html},
bibsource = {ChatGPT},
eval = {TBD}
}
@article{Kalman1960,
author = {Kalman, R. E.},
title = {{A New Approach to Linear Filtering and Prediction Problems}},
journal = {J. Basic Eng.},
volume = {82},
number = {1},
pages = {35--45},
year = {1960},
month = mar,
issn = {0021-9223},
publisher = {American Society of Mechanical Engineers Digital Collection},
doi = {10.1115/1.3662552}
}
@article{Kalman1960_AI,
author = {R. E. Kalman},
title = {A New Approach to Linear Filtering and Prediction Problems},
journal = {Journal of Basic Engineering},
volume = {82},
number = {1},
pages = {35--45},
year = {1960},
doi = {10.1115/1.3662552},
bibsource = {ChatGPT},
eval = {Basic info and DOI correct, lacked month and publisher fields}
}
@inproceedings{KennedyEberhart1995PSO,
author = {James Kennedy and Russell Eberhart},
title = {Particle Swarm Optimization},
booktitle = {Proceedings of IEEE International Conference on Neural Networks},
year = {1995},
pages = {1942--1948},
doi = {10.1109/ICNN.1995.488968},
bibsource = {ChatGPT},
eval = {}
}
@article{KnillPouget2004,
author = {Knill, David C. and Pouget, Alexandre},
title = {{The Bayesian brain: the role of uncertainty in neural coding and computation}},
journal = {Trends Neurosci.},
volume = {27},
number = {12},
pages = {712--719},
year = {2004},
month = dec,
issn = {0166-2236},
publisher = {Elsevier Current Trends},
doi = {10.1016/j.tins.2004.10.007}
}
@article{KnillPouget2004_AI,
author = {David C. Knill and Alexandre Pouget},
title = {The Bayesian brain: the role of uncertainty in neural coding and computation},
journal = {Trends in Neurosciences},
volume = {27},
number = {12},
pages = {712--719},
year = {2004},
doi = {10.1016/j.tins.2004.10.007},
eval = {Basic info and DOI correct, missing month and publisher},
bibsource = {ChatGPT},
eval = {}
}
@book{Koza1992GP,
author = {John R. Koza},
title = {Genetic Programming: On the Programming of Computers by Means of Natural Selection},
year = {1992},
publisher = {MIT Press},
isbn = {978-0262111706},
bibsource = {ChatGPT},
eval = {}
}
@article{Mamdani1975FLC,
author = {Ebrahim H. Mamdani},
title = {An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller},
journal = {International Journal of Man-Machine Studies},
year = {1975},
volume = {7},
number = {1},
pages = {1--13},
doi = {10.1016/S0020-7373(75)80002-2},
bibsource = {ChatGPT},
eval = {}
}
@inproceedings{McDermott1982XCON,
author = {John McDermott},
title = {R1 (XCON) at {D}igital {E}quipment {C}orporation},
booktitle = {Proceedings of AAAI},
year = {1982},
bibsource = {ChatGPT},
eval = {}
}
@techreport{NISTAI2001,
author = {Theofanos, Mary Frances and Choong, Yee-Yin and Jensen, Theodore},
title = {{AI Use Taxonomy: A Human-Centered Approach}},
journal = {NIST},
year = {2024},
month = mar,
url = {https://www.nist.gov/publications/ai-use-taxonomy-human-centered-approach}
}
@techreport{NISTAI2001_AI,
author = {Mary F. Theofanos and others},
title = {AI Use Taxonomy: A Human-Centered Approach},
institution = {National Institute of Standards and Technology},
number = {NIST AI 200-1},
year = {2024},
month = {March},
url = {https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.200-1.pdf},
doi = {10.6028/NIST.AI.200-1},
bibsource = {ChatGPT},
eval = {Missing other authors, can't check various fields}
}
@article{Tabassi2023Jan,
author = {Tabassi, Elham},
title = {{Artificial Intelligence Risk Management Framework (AI RMF 1.0)}},
journal = {NIST},
year = {2023},
month = jan,
url = {https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10},
bibsource = {NIST website}
}
@techreport{NISTRMF,
author = {Elham Tabassi and others},
title = {Artificial Intelligence Risk Management Framework (AI RMF 1.0)},
institution = {National Institute of Standards and Technology},
number = {NIST AI 100-1},
year = {2023},
month = {January},
url = {https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf},
doi = {10.6028/NIST.AI.100-1},
bibsource = {ChatGPT},
eval = {Pretty good, hard to verify details}
}
@inproceedings{Nilsson1980STRIPS,
author = {Nils J. Nilsson},
title = {Principles of Artificial Intelligence (STRIPS overview)},
booktitle = {Morgan Kaufmann},
year = {1980},
bibsource = {ChatGPT},
eval = {}
}
@techreport{OECDClass,
title = {OECD Framework for the Classification of AI Systems},
institution = {OECD},
year = {2022},
url = {https://oecd.ai/en/classification},
bibsource = {ChatGPT},
eval = {}
}
@article{Oja1982,
author = {Oja, Erkki},
title = {{Simplified neuron model as a principal component analyzer}},
journal = {J. Math. Biol.},
volume = {15},
number = {3},
pages = {267--273},
year = {1982},
month = nov,
issn = {1432-1416},
publisher = {Springer-Verlag},
doi = {10.1007/BF00275687}
}
@article{Oja1982_AI,
author = {Erkki Oja},
title = {A Simplified Neuron Model as a Principal Component Analyzer},
journal = {Journal of Mathematical Biology},
volume = {15},
number = {3},
pages = {267--273},
year = {1982},
doi = {10.1007/BF00275687},
eval = {Correct: all; Missing: publisher},
bibsource = {ChatGPT},
eval = {}
}
@article{Bittner1963,
author = {Bittner, L.},
title = {{L. S. Pontryagin, V. G. Boltyanskii, R. V. Gamkrelidze, E. F. Mishechenko, The Mathematical Theory of Optimal Processes. VIII + 360 S. New York/London 1962. John Wiley {\&} Sons. Preis 90/{\textendash}}},
journal = {Zamm-zeitschrift Fur Angewandte Mathematik Und Mechanik},
year = {1963},
url = {https://www.semanticscholar.org/paper/L.-S.-Pontryagin%2C-V.-G.-Boltyanskii%2C-R.-V.-E.-F.-of-Bittner/7984b664bdfc1828050d1cb1a06d164a5fe64dd8}
}
@book{Pontryagin2018May,
author = {Pontryagin, L. S.},
title = {{Mathematical Theory of Optimal Processes}},
year = {2018},
month = may,
isbn = {978-0-20374931-9},
publisher = {Taylor {\&} Francis},
address = {Andover, England, UK},
doi = {10.1201/9780203749319}
}
@book{Pontryagin1962,
author = {L. S. Pontryagin and V. G. Boltyanskii and R. V. Gamkrelidze and E. F. Mishchenko},
title = {The Mathematical Theory of Optimal Processes},
publisher = {Wiley Interscience},
year = {1962},
eval = {Actually closer than several current sources online; missing "Wiley" from "Wiley Interscience"},
bibsource = {ChatGPT},
eval = {}
}
@article{Price1970,
author = {Price, George R.},
title = {{Selection and Covariance}},
journal = {Nature},
volume = {227},
pages = {520--521},
year = {1970},
month = aug,
issn = {1476-4687},
publisher = {Nature Publishing Group},
doi = {10.1038/227520a0}
}
@article{Price1970_AI,
author = {George R. Price},
title = {Selection and Covariance},
journal = {Nature},
volume = {227},
pages = {520--521},
year = {1970},
doi = {10.1038/227520a0},
eval = {Missing: month, publisher},
bibsource = {ChatGPT},
eval = {}
}
@article{Robinson1965Resolution,
author = {Robinson, J. A.},
title = {{A Machine-Oriented Logic Based on the Resolution Principle}},
journal = {J. ACM},
volume = {12},
number = {1},
pages = {23--41},
year = {1965},
month = jan,
issn = {0004-5411},
publisher = {Association for Computing Machinery},
doi = {10.1145/321250.321253}
}
@article{Robinson1965Resolution_AI,
author = {J. A. Robinson},
title = {A Machine-Oriented Logic Based on the Resolution Principle},
journal = {Journal of the ACM},
volume = {12},
number = {1},
pages = {23--41},
year = {1965},
doi = {10.1145/321250.321253},
eval = {Missing: month, issn, publisher},
bibsource = {ChatGPT},
eval = {}
}
@article{Rumelhart1986Backprop,
author = {David E. Rumelhart and Geoffrey E. Hinton and Ronald J. Williams},
title = {Learning Representations by Back-Propagating Errors},
journal = {Nature},
year = {1986},
volume = {323},
pages = {533--536},
doi = {10.1038/323533a0},
bibsource = {ChatGPT},
eval = {}
}
@misc{SuttonBarto2025,
author = {Sutton, Richard S. and Barto, Andrew G.},
title = {{Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning series)}},
year = {2025},
month = nov,
isbn = {978-0-26203924-6},
publisher = {Bradford Books},
note = {[Online; accessed 12. Nov. 2025]},
url = {https://www.amazon.com/Reinforcement-Learning-Introduction-Adaptive-Computation/dp/0262039249},
bibsource = {Amazon.com book page}
}
@book{SuttonBarto2018_AI,
author = {Richard S. Sutton and Andrew G. Barto},
title = {Reinforcement Learning: An Introduction},
edition = {2nd},
year = {2018},
publisher = {MIT Press},
url = {https://mitpress.mit.edu/9780262039246/reinforcement-learning/},
isbn = {9780262039246},
eval = {Mismatch on publisher, year},
bibsource = {ChatGPT},
eval = {}
}
@article{TaylorJonker1978,
author = {Taylor, Peter D. and Jonker, Leo B.},
title = {{Evolutionary stable strategies and game dynamics}},
journal = {Math. Biosci.},
volume = {40},
number = {1},
pages = {145--156},
year = {1978},
month = jul,
issn = {0025-5564},
publisher = {Elsevier},
doi = {10.1016/0025-5564(78)90077-9}
}
@article{TaylorJonker1978_AI,
author = {Peter D. Taylor and Leo B. Jonker},
title = {Evolutionary stable strategies and game dynamics},
journal = {Mathematical Biosciences},
volume = {40},
number = {1--2},
pages = {145--156},
year = {1978},
doi = {10.1016/0025-5564(78)90077-9},
bibsource = {ChatGPT},
eval = {Missing: month, issn, publisher}
}
@article{TodorovJordan2002,
author = {Todorov, Emanuel and Jordan, Michael I.},
title = {{Optimal feedback control as a theory of motor coordination}},
journal = {Nat. Neurosci.},
volume = {5},
pages = {1226--1235},
year = {2002},
month = nov,
issn = {1546-1726},
publisher = {Nature Publishing Group},
doi = {10.1038/nn963}
}
@article{TodorovJordan2002_AI,
author = {Emanuel Todorov and Michael I. Jordan},
title = {Optimal feedback control as a theory of motor coordination},
journal = {Nature Neuroscience},
volume = {5},
number = {11},
pages = {1226--1235},
year = {2002},
doi = {10.1038/nn963},
bibsource = {ChatGPT},
eval = {Missing: number, publisher, month, issn; otherwise good}
}
@article{WidrowHoff1960LMS,
author = {Bernard Widrow and Marcian E. Hoff},
title = {Adaptive Switching Circuits},
journal = {1960 IRE WESCON Convention Record},
year = {1960},
volume = {4},
pages = {96--104},
bibsource = {ChatGPT},
eval = {}
}
@article{Wolpert1997,
author = {Wolpert, D. H. and Macready, W. G.},
title = {{No free lunch theorems for optimization}},
journal = {IEEE Trans. Evol. Comput.},
volume = {1},
number = {1},
pages = {67--82},
year = {1997},
month = apr,
publisher = {IEEE},
doi = {10.1109/4235.585893}
}
@article{Wolpert1997_AI,
author = {David H. Wolpert and William G. Macready},
title = {No Free Lunch Theorems for Optimization},
journal = {IEEE Transactions on Evolutionary Computation},
volume = {1},
number = {1},
pages = {67--82},
year = {1997},
doi = {10.1109/4235.585893},
bibsource = {ChatGPT},
eval = {Missing: month, publisher; otherwise good}
}
@article{Zadeh1965Fuzzy,
author = {Lotfi A. Zadeh},
title = {Fuzzy Sets},
journal = {Information and Control},
year = {1965},
volume = {8},
number = {3},
pages = {338--353},
doi = {10.1016/S0019-9958(65)90241-X},
bibsource = {ChatGPT},
eval = {}
}
@article{FarmerPerelson1986,
author = {J. Doyne Farmer and Norman H. Packard and Alan S. Perelson},
title = {The immune system, adaptation, and machine learning},
journal = {Physica D: Nonlinear Phenomena},
year = {1986},
volume = {22},
number = {1-3},
pages = {187--204},
doi = {10.1016/0167-2789(86)90240-X}
}
@inproceedings{Forrest1994NSA,
author = {Stephanie Forrest and Alan S. Perelson and Lawrence Allen and Rajesh Cherukuri},
title = {Self–Nonself Discrimination in a Computer},
booktitle = {Proceedings of the 1994 IEEE Symposium on Security and Privacy},
year = {1994},
pages = {202--212},
doi = {10.1109/SECPRI.1994.305366}
}
@book{DeCastroTimmis2002Book,
author = {Leandro N. de Castro and Jamie Timmis},
title = {Artificial Immune Systems: A New Computational Intelligence Approach},
publisher = {Springer},
series = {Natural Computing Series},
year = {2002},
isbn = {978-1-85233-594-6}
}
@article{DeCastroVonZuben2002Clonal,
author = {Leandro N. de Castro and Fernando J. Von Zuben},
title = {Learning and Optimization Using the Clonal Selection Principle},
journal = {IEEE Transactions on Evolutionary Computation},
year = {2002},
volume = {6},
number = {3},
pages = {239--251},
doi = {10.1109/TEVC.2002.1011539}
}
@article{DeCastroVonZuben2001aiNet,
author = {Leandro N. de Castro and Fernando J. Von Zuben},
title = {The aiNet: An Artificial Immune Network for Data Analysis},
journal = {Proceedings of ICANN (LNCS)},
year = {2001},
volume = {2130},
pages = {395--404},
publisher = {Springer},
doi = {10.1007/3-540-44668-0_58}
}
@article{Timmis2008Survey,
author = {Jamie Timmis and Mark Neal and Jonathan Hunt},
title = {An artificial immune system for data analysis},
journal = {Biosystems},
year = {2000},
volume = {55},
number = {1-3},
pages = {143--150},
doi = {10.1016/S0303-2647(99)00093-5}
}
@inproceedings{Greensmith2005DCA,
author = {Julie Greensmith and Uwe Aickelin and Steve Cayzer},
title = {Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection},
booktitle = {ICARIS 2005: Artificial Immune Systems},
series = {LNCS},
volume = {3627},
pages = {153--167},
publisher = {Springer},
year = {2005},
doi = {10.1007/11536444_12}
}
@article{Greensmith2007DCA,
author = {Julie Greensmith and Uwe Aickelin and Jamie Twycross},
title = {Articulation and Clarification of the Dendritic Cell Algorithm},
journal = {Proceedings of ICARIS},
year = {2006}
}
@article{Dasgupta1999AIS,
author = {Dipankar Dasgupta},
title = {An Overview of Artificial Immune Systems and Their Applications},
journal = {Proceedings of GECCO Workshop on Artificial Immune Systems and Their Applications},
year = {1999}
}
Reference in New Issue View Git Blame Copy Permalink