SENSITIVITY ANALYSIS OF IMAGE CLASSIFICATION MODELS USING GENERALIZED POLYNOMIAL CHAOS

Lukas Bahr, Lucas Poßner, Konstantin Weise, Stephan Matzka, Sophie Gröger, Rüdiger Daub

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DOI: 10.7712/120225.12376.20953
Published: 2025
Container: Proceedings of the 6th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP)
Publisher: Institute of Structural Analysis and Antiseismic Research National Technical University of Athens
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.7712/120225.12376.20953,
  title = {SENSITIVITY ANALYSIS OF IMAGE CLASSIFICATION MODELS USING GENERALIZED POLYNOMIAL CHAOS},
  author = {Lukas Bahr and Lucas Poßner and Konstantin Weise and Stephan Matzka and Sophie Gröger and Rüdiger Daub},
  year = {2025},
  journal = {Proceedings of the 6th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP)},
  doi = {10.7712/120225.12376.20953},
  url = {https://doi.org/10.7712/120225.12376.20953}
}

RIS

TY  - JOUR
TI  - SENSITIVITY ANALYSIS OF IMAGE CLASSIFICATION MODELS USING GENERALIZED POLYNOMIAL CHAOS
AU  - Lukas Bahr
AU  - Lucas Poßner
AU  - Konstantin Weise
AU  - Stephan Matzka
AU  - Sophie Gröger
AU  - Rüdiger Daub
PY  - 2025
JO  - Proceedings of the 6th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP)
DO  - 10.7712/120225.12376.20953
UR  - https://doi.org/10.7712/120225.12376.20953
ER  -

APA

Bahr, L., Poßner, L., Weise, K., Matzka, S., Gröger, S., & Daub, R. (2025). SENSITIVITY ANALYSIS OF IMAGE CLASSIFICATION MODELS USING GENERALIZED POLYNOMIAL CHAOS. Proceedings of the 6th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP). https://doi.org/10.7712/120225.12376.20953

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crossref · retrieved 2026-09-25T15:44:57.262Z