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Yun Chi, Siegfried Nijssen, R. R. Muntz, and Joost N. Kok.
Frequent subtree mining-an overview.
In Fundamenta Informaticae, volume 66, pages 161-198. IOS
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Christiaan Henkel and Joost N. Kok.
Towards evolutionary DNA computing.
In Lecture Notes in Computer Science, volume 3661, pages
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P. O'Neill, K. Fraser, Z. Wang, P. Kellam, J. N. Kok, and X. Liu.
Pyramidic clustering of large scale microarray images.
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R. Brijder, H.J. Hoogeboom, and G. Rozenberg.
The breakpoint graph in ciliates.
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C.V. Henkel, R.S. Bladergroen, C.I.A. Balog, A.M. Deelder, T. Head,
G. Rozenberg, and H. Spaink.
Protein input for dna computing.
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C.V. Henkel.
Experimental DNA Computing.
PhD thesis, Leiden University, 2005. [ bib ] |
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In G. Mauri, G. Paun, M.J. Pérez-Jiménez, G. Rozenberg, and A. Salomaa,
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R. van Vliet, H.J. Hoogeboom, and G. Rozenberg.
Combinatorial aspects of minimal dna expressions.
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Ron Breukelaar and Thomas Bäck.
Using a genetic algorithm to evolve behavior in multi dimensional
cellular automata: emergence of behavior.
In Hans-Georg Beyer and Una-May O'Reilly, editors, Genetic and
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Ofer M. Shir and Thomas Bäck.
Niching in evolution strategies.
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Elena V. Samsonova, Thomas Bäck, Joost N. Kok, and Adriaan P. IJzerman.
Reliable hierarchical clustering with the self-organizing map.
In IDA 2005, pages 385-396. 2005. [ bib ] |
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Thomas Bäck and Ron Breukelaar.
Using genetic algorithms to evolve behavior in cellular automata.
In Cristian S. Calude, Michael J. Dinneen, Gheorghe Paun, Mario J.
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3699 of Lecture Notes in Computer Science, pages 1-10. Springer-Verlag
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A. Fazel Famili, Joost N. Kok, José Manuel Pe na, Arno Siebes, and A. J.
Feelders.
Advances in Intelligent Data Analysis VI, 6th International
Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September
8-10, 2005, Proceedings.
Springer, 2005. [ bib ] |
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Eric-Wubbo Lameijer, Adriaan P. IJzerman, and Joost N. Kok.
The molecule evoluator: an interactive evolutionary algorithm for
designing drug molecules.
In Hans-Georg Beyer and Una-May O'Reilly, editors, Genetic and
Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC,
USA,, pages 1969-1976. ACM, 2005. [ bib ] |
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Takashi Washio, Luc De Raedt, and Joost N. Kok.
Advances in mining graphs, trees and sequences.
Fundamenta Informaticae, 66, 2005. [ bib ] |
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L. De Raedt, T. Washio, and J.N. Kok, editors.
Advances in Mining Graphs, Trees and Sequences, volume 124 of
Frontiers in Artificial Intelligence and Applications.
June 2005. [ bib ] |
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E.V. Samsonova, J.N. Kok, and A.P. IJzerman.
Treesom: Cluster analysis in the self-organizing map.
In 5th Workshop on Self-Organizing Maps (WSOM), pages 429-438,
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Eric-Wubbo Lameijer, Ad IJzerman, and Joost Kok.
Using data mining to improve mutation in a tool for molecular
evolution.
In 2005 IEEE Congress on Evolutionary Computation. 2005. [ bib ] |
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Eric-Wubbo Lameijer, Thomas Bäck, Joost N. Kok, and Ad P. Ijzerman.
Evolutionary algorithms in drug design.
Natural Computing, 4:177-243, 2005. [ bib ] |
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Sander M. Bohte and Joost N. Kok.
Applications of spiking neural networks,.
Information Processing Letters,, 95:519-520, 2005. [ bib ] |
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Ofer Shir, Christian Siedschlag, Thomas Bäck, and Marc J.J. Vrakking.
Niching in evolution strategies and its application to laser pulse
shaping.
In EA'05, The 7th International Conference on Artificial
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Ofer Shir and Thomas Bäck.
Dynamic niching in evolution strategies with covariance matrix
adaptation.
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Niching in evolution strategies.
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Thomas Bäck, Ron Breukelaar, and Lars Willmes.
Problem solving by evolution: One of nature's unconventional
programming paradigms.
In Jean-Pierre Banâtre, Pascal Fradet, Jean-Louis Giavitto, and
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Edgar H. de Graaf and Walter A. Kosters.
Efficient feature detection for sequence classification in a receptor
database.
In K. Verbeeck, K. Tuyls, A. Nowé, B. Manderick, and B. Kuijpers,
editors, Proceedings of BNAIC 2005, Brussels, Belgium, pages 81-88.
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Edgar H. de Graaf and Walter A. Kosters.
Using a probable time window for efficient pattern mining in a
receptor database.
In T. Meinl S. Nijssen and G. Karypis, editors, Proceedings of
the Third International Workshop on Mining Graphs, Trees and Sequences
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K.J. Batenburg and W.A. Kosters.
Neural networks for discrete tomography.
In K. Verbeeck, K. Tuyls, A. Nowé, B. Manderick, and
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pages 21-27, October 2005. [ bib ] |
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J.M. de Graaf, Renée X. de Menezes, J.M. Boer, and W.A. Kosters.
Frequent itemsets for genomic profiling.
In M.R. Berthold, R. Glen, K. Diederichs, O. Kohlbacher, and
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Computational Life Sciences, CompLife 2005, Konstanz, Germany, volume 3695
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