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  2. Life Sciences und Facility Management
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  4. Publikationen Life Sciences und Facility Management
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dc.contributor.authorGygax, Gregory-
dc.contributor.authorRatnaweera, Nils-
dc.contributor.authorTischhauser, Werner-
dc.contributor.authorSmits, Theo H. M.-
dc.contributor.authorLaube, Patrick-
dc.contributor.authorOtt, Thomas-
dc.date.accessioned2023-01-27T15:59:01Z-
dc.date.available2023-01-27T15:59:01Z-
dc.date.issued2023-01-22-
dc.identifier.isbn978-3-031-23928-1de_CH
dc.identifier.isbn978-3-031-23929-8de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/26749-
dc.description.abstractModeling complex real-world variables, such as tick hazard, can face the problem that no measurements are available for the target variable itself. Models developed on the basis of indirect measurements may then lead to an underconstrained problem for which the output cannot be reliably validated. To address such a problem in the tick hazard use case, we propose a novel oracle approach. The goal of the oracle is to generate test scenarios that can be used to test the validity and robustness of our tick hazard model. We report on preliminary results that support the potential of both the model and the oracle approach.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofseriesCommunications in Computer and Information Sciencede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.subject.ddc614: Public Health und Gesundheitsförderungde_CH
dc.titleAn oracle for the optimization of underconstrained compositions of neural networks : the tick hazard use casede_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
zhaw.organisationalunitInstitut für Umwelt und Natürliche Ressourcen (IUNR)de_CH
zhaw.publisher.placeChamde_CH
dc.identifier.doi10.1007/978-3-031-23929-8_3de_CH
zhaw.conference.detailsXV International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end31de_CH
zhaw.pages.start24de_CH
zhaw.parentwork.editorSchneider, Johannes Josef-
zhaw.parentwork.editorWeyland, Mathias Sebastian-
zhaw.parentwork.editorFlumini, Dandolo-
zhaw.parentwork.editorFüchslin, Rudolf Marcel-
zhaw.publication.statuspublishedVersionde_CH
zhaw.series.number1722de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsArtificial Life and Evolutionary Computationde_CH
zhaw.webfeedBio-Inspired Methods & Neuromorphic Computingde_CH
zhaw.webfeedGeoinformatikde_CH
zhaw.webfeedHealth Research Hub (LSFM)de_CH
zhaw.webfeedUmweltgenomikde_CH
zhaw.funding.zhawFighting bites with bytes: Promoting public health with crowdsourced tick preventionde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Gygax, G., Ratnaweera, N., Tischhauser, W., Smits, T. H. M., Laube, P., & Ott, T. (2023). An oracle for the optimization of underconstrained compositions of neural networks : the tick hazard use case [Conference paper]. In J. J. Schneider, M. S. Weyland, D. Flumini, & R. M. Füchslin (Eds.), Artificial Life and Evolutionary Computation (pp. 24–31). Springer. https://doi.org/10.1007/978-3-031-23929-8_3
Gygax, G. et al. (2023) ‘An oracle for the optimization of underconstrained compositions of neural networks : the tick hazard use case’, in J.J. Schneider et al. (eds) Artificial Life and Evolutionary Computation. Cham: Springer, pp. 24–31. Available at: https://doi.org/10.1007/978-3-031-23929-8_3.
G. Gygax, N. Ratnaweera, W. Tischhauser, T. H. M. Smits, P. Laube, and T. Ott, “An oracle for the optimization of underconstrained compositions of neural networks : the tick hazard use case,” in Artificial Life and Evolutionary Computation, Jan. 2023, pp. 24–31. doi: 10.1007/978-3-031-23929-8_3.
GYGAX, Gregory, Nils RATNAWEERA, Werner TISCHHAUSER, Theo H. M. SMITS, Patrick LAUBE und Thomas OTT, 2023. An oracle for the optimization of underconstrained compositions of neural networks : the tick hazard use case. In: Johannes Josef SCHNEIDER, Mathias Sebastian WEYLAND, Dandolo FLUMINI und Rudolf Marcel FÜCHSLIN (Hrsg.), Artificial Life and Evolutionary Computation. Conference paper. Cham: Springer. 22 Januar 2023. S. 24–31. ISBN 978-3-031-23928-1
Gygax, Gregory, Nils Ratnaweera, Werner Tischhauser, Theo H. M. Smits, Patrick Laube, and Thomas Ott. 2023. “An Oracle for the Optimization of Underconstrained Compositions of Neural Networks : The Tick Hazard Use Case.” Conference paper. In Artificial Life and Evolutionary Computation, edited by Johannes Josef Schneider, Mathias Sebastian Weyland, Dandolo Flumini, and Rudolf Marcel Füchslin, 24–31. Cham: Springer. https://doi.org/10.1007/978-3-031-23929-8_3.
Gygax, Gregory, et al. “An Oracle for the Optimization of Underconstrained Compositions of Neural Networks : The Tick Hazard Use Case.” Artificial Life and Evolutionary Computation, edited by Johannes Josef Schneider et al., Springer, 2023, pp. 24–31, https://doi.org/10.1007/978-3-031-23929-8_3.


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