SENSITIVITY ANALYSIS OF IMAGE CLASSIFICATION MODELS USING GENERALIZED POLYNOMIAL CHAOS

SENSITIVITY ANALYSIS OF IMAGE CLASSIFICATION MODELS USING GENERALIZED POLYNOMIAL CHAOS - 6th International Conference on Uncertainty Quantification in Computational Sciences and Engineering - 15-18 June 2025, Rhodes Island, Greece

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Publication Details

Journal
UNCECOMP Proceedings
Published
2025-01-01
DOI
https://doi.org/10.7712/120225.12376.20953
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

SENSITIVITY ANALYSIS OF IMAGE CLASSIFICATION MODELS USING GENERALIZED POLYNOMIAL CHAOS

Lucas Poßner, Konstantin Weise, Rüdiger Daub, Stephan Matzka et al.
UNCECOMP Proceedings
Anomaly Detection Techniques and Applications
article

SENSITIVITY ANALYSIS OF IMAGE CLASSIFICATION MODELS USING GENERALIZED POLYNOMIAL CHAOS

Lucas Poßner, Konstantin Weise, Rüdiger Daub, Stephan Matzka, Lukas Bahr
article en

Abstract

SENSITIVITY ANALYSIS OF IMAGE CLASSIFICATION MODELS USING GENERALIZED POLYNOMIAL CHAOS - 6th International Conference on Uncertainty Quantification in Computational Sciences and Engineering - 15-18 June 2025, Rhodes Island, Greece

UNCECOMP Proceedings
Openalex Percentile: Top 51%
Anomaly Detection Techniques and Applications
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SENSITIVITY ANALYSIS OF IMAGE CLASSIFICATION MODELS USING GENERALIZED POLYNOMIAL CHAOS — Lucas Poßner, Konstantin Weise, et al. · UNCECOMP Proceedings (2025) | TGRS Research Map | TGRS