An oracle for the optimization of underconstrained compositions of neural networks : the tick hazard use case

Gygax, Gregory; Ratnaweera, Nils; Tischhauser, Werner; Smits, Theo H. M.; Laube, Patrick; Ott, Thomas

doi:10.1007/978-3-031-23929-8_3

Publication type:	Conference paper
Type of review:	Peer review (publication)
Title:	An oracle for the optimization of underconstrained compositions of neural networks : the tick hazard use case
Authors:	Gygax, Gregory Ratnaweera, Nils Tischhauser, Werner Smits, Theo H. M. Laube, Patrick Ott, Thomas
et. al:	No
DOI:	10.1007/978-3-031-23929-8_3
Proceedings:	Artificial Life and Evolutionary Computation
Editors of the parent work:	Schneider, Johannes Josef Weyland, Mathias Sebastian Flumini, Dandolo Füchslin, Rudolf Marcel
Page(s):	24
Pages to:	31
Conference details:	XV International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021
Issue Date:	22-Jan-2023
Series:	Communications in Computer and Information Science
Series volume:	1722
Publisher / Ed. Institution:	Springer
Publisher / Ed. Institution:	Cham
ISBN:	978-3-031-23928-1 978-3-031-23929-8
Language:	English
Subject (DDC):	006: Special computer methods 614: Public health and prevention of disease
Abstract:	Modeling 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.
URI:	https://digitalcollection.zhaw.ch/handle/11475/26749
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	Life Sciences and Facility Management
Organisational Unit:	Institute of Computational Life Sciences (ICLS) Institute of Natural Resource Sciences (IUNR)
Published as part of the ZHAW project:	Fighting bites with bytes: Promoting public health with crowdsourced tick prevention
Appears in collections:	Publikationen Life Sciences und Facility Management

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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.