Zobrazeno 1 - 10 of 28 pro vyhledávání: '"Liekens, A.M.L."'
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Akademický článek
Single-variable reaction systems: Deterministic and stochastic models
Autor: Steijaert, M.N., Liekens, A.M.L., Bošnački, D., Hilbers, P.A.J., ten Eikelder, H.M.M.
Publikováno v: In Mathematical Biosciences 2010 227(2):105-116
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2
Computing with feedforward networks of artificial biochemical neurons
Autor: Eikelder, ten, H.M.M., Crijns, S.P.M., Steijaert, M.N., Liekens, A.M.L., Hilbers, P.A.J., Suzuki, Y., Hagiaya, M., Umeo, H., Adamatzky, A.
Publikováno v: Natural Computing ISBN: 9784431889809
IWNC
Natural Computing : proceedings of the 2nd International Workshop on Natural Computing, Nagoya Japan, 38-47
STARTPAGE=38;ENDPAGE=47;TITLE=Natural Computing : proceedings of the 2nd International Workshop on Natural Computing, Nagoya Japan
Phosphorylation cycles are a common motif in biological intracellular signaling networks. A phosphorylaton cycle can be modeled as an artificial biochemical neuron, which can be considered as a variant of the artificial neurons used in neural network
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46d0564fb6ab554014ff78b4b10f2a37
https://doi.org/10.1007/978-4-431-88981-6_4
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3
'Tell me more' : Finding related items from user provided feedback
Autor: Knijf, de, J., Liekens, A.M.L., Goethals, B., Elomaa, T., Hollmén, J., Mannila, H.
Publikováno v: Discovery Science (14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings), 76-90
STARTPAGE=76;ENDPAGE=90;TITLE=Discovery Science (14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings)
Discovery Science ISBN: 9783642244766
Discovery Science
The results returned by a search, datamining or database engine often contains an overload of potentially interesting information. A daunting and challenging problem for a user is to pick out the useful information. In this paper we propose an intera
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c58a7ab4e4f11fd28f1b179cd9050dc7
https://research.tue.nl/nl/publications/ce651031-71ed-4b53-a47b-6b5015373a03
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4
GaMuSo: Graph Base Music Recommendation in a Social Bookmarking Service
Autor: Knijf, de, J., Liekens, A.M.L., Gama, J., Bradley, E., Hollmén, J.
Publikováno v: Advances in Intelligent Data Analysis X ISBN: 9783642247996
IDA
Advances in Intelligent Data Analysis X (10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings), 138-149
STARTPAGE=138;ENDPAGE=149;TITLE=Advances in Intelligent Data Analysis X (10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings)
In this work we describe a recommendation system based upon user-generated description (tags) of content. In particular, we describe an experimental system (GaMuSo) that consists of more than 140.000 user-defined tags for over 400.000 artists. From t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46a5e419d3348b7d01386f55ab676bf6
https://doi.org/10.1007/978-3-642-24800-9_15
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5
BioGraph : knowledge discovery and exploration in the biomedical domain
Autor: Knijf, de, J., Liekens, A.M.L., Daelemans, W.M.P., Rijk, de, P., Del Favero, J., Goethals, B., Spilopoulou, M., Wang, H., Cook, D.J., Pei, J., Wang, W., Zaiane, O.R., Wu, X.
Publikováno v: ICDM Workshops
2011 IEEE 11th International Conference on Data Mining Workshops (ICDMW, Vancouver BC, Canada, December 11, 2011), 1223-1226
STARTPAGE=1223;ENDPAGE=1226;TITLE=2011 IEEE 11th International Conference on Data Mining Workshops (ICDMW, Vancouver BC, Canada, December 11, 2011)
We present a data integration and data mining platform, called BioGraph, for knowledge discovery in the biomedical domain. BioGraph allows for the automated formulation of comprehensible functional hypotheses relating a concepts to targets. A typical
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5533881a89649f6ab7c5e0b9c470482e
https://doi.org/10.1109/ICDMW.2011.39
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6
Multiple functionalities of biochemical reaction networks
Autor: Steijaert, M.N., Liekens, A.M.L., Eikelder, ten, H.M.M., Hilbers, P.A.J., Watson, R., Bullock, S., Noble, J., Bedau, M.A.
Publikováno v: Artificial Life XI : Proceedings of the Eleventh International Conference on Artificial Life (ALIFe XI), 5-8 August 2008, Winchester, UK, 585-591
STARTPAGE=585;ENDPAGE=591;TITLE=Artificial Life XI : Proceedings of the Eleventh International Conference on Artificial Life (ALIFe XI), 5-8 August 2008, Winchester, UK
We consider a biological cell as a highly nterconnected network of chemical reactions, which is constituted of a large number of semi-autonomous functional modules. Depending on the global state of the network, the separate functional modules may dis
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::7432c401500c2d2e575ef299d1a2a5b0
https://research.tue.nl/nl/publications/a9f260c8-0268-40fe-95e3-c57155ac2032
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7
Simulated evolution of mass conserving reaction networks
Autor: Liekens, A.M.L., Eikelder, ten, H.M.M., Steijaert, M.N., Hilbers, P.A.J., Bullock, S., Noble, J., Watson, R., Bedau, M.A.
Publikováno v: Artificial Life XI : Proceedings of the Eleventh International Conference on Artificial Life (ALIFe XI), 5-8 August 2008, Winchester, UK, 351-358
STARTPAGE=351;ENDPAGE=358;TITLE=Artificial Life XI : Proceedings of the Eleventh International Conference on Artificial Life (ALIFe XI), 5-8 August 2008, Winchester, UK
With the rise of systems biology, the systematic analysis and construction of behavioral mechanisms in both natural and artificial biochemical networks has become a vital part of understanding and predicting the inner workings of intracellular signal
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::4494d5e2c61dd10d2011130863e98c5a
https://research.tue.nl/nl/publications/bc6983bb-62e0-4a70-92b7-e10e1976fac2
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10
Predicting genetic drift in 2x2 games
Autor: Liekens, A.M.L., Eikelder, ten, H.M.M., Hilbers, P.A.J., Deb, K.
Publikováno v: Genetic and Evolutionary Computation (Proceedings GECCO 2004, Seattle WA, USA, June 26-30, 2004), 3102, 549-560
For the analysis of the dynamics of game playing populations, it is common practice to assume infinitely large populations. Infinite models yield predictions of fixed points and their stability properties. However, these models cannot demonstrate the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::0f01cbb1b5489c5692c17b8231e3476d
https://research.tue.nl/nl/publications/5bffb123-cd6e-45c0-8640-ae31df6d6fb2
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