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Content Bias in Deep Learning Age Approximation: A new Approach Towards more Explainability.

, and . CoRR, (2023)

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A Machine Learning Approach to Approximate the Age of a Digital Image., and . IWDW, volume 12617 of Lecture Notes in Computer Science, page 181-195. Springer, (2020)Content Bias in Deep Learning Age Approximation: A new Approach Towards more Explainability., and . CoRR, (2023)Deep Learning Image Age Approximation - What is More Relevant: Image Content or Age Information?, and . IWDW, volume 13825 of Lecture Notes in Computer Science, page 114-128. Springer, (2022)Effects of Image Compression on Image Age Approximation., and . IWDW, volume 13180 of Lecture Notes in Computer Science, page 102-116. Springer, (2021)Can point-cloud based neural networks learn fingerprint variability?, , , and . BIOSIG, volume P-329 of LNI, page 34-45. IEEE / Gesellschaft für Informatik e.V., (2022)Content bias in deep learning image age approximation: A new approach towards better explainability., and . Pattern Recognit. Lett., (2024)Assessment of Sensor Ageing-Impact in Air Travelled Fingerprint Capturing Devices., , , and . BIOSIG, volume P-315 of LNI, page 293-300. Gesellschaft für Informatik e.V., (2021)Identification Of In-Field Sensor Defects In The Context Of Image Age Approximation., and . ICIP, page 3043-3047. IEEE, (2021)Apart from In-field Sensor Defects, are there Additional Age Traces Hidden in a Digital Image?, and . WIFS, page 1-6. IEEE, (2021)Device (In)Dependence of Deep Learning-based Image Age Approximation., and . CoRR, (2024)