TOWARDS NON-PARAMETRIC DRIFT DETECTION VIA DYNAMIC ADAPTING WINDOW INDEPENDENCE DRIFT DETECTION (DAWIDD)

von Hinder, Fabian
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 6 of 15 (2021)

Suitability of Different Metric Choices for Concept Drift Detection

von Hinder, Fabian
Veröffentlicht in IDA (20. : 2022 : Rennes) Advances in intelligent data analysis XX (2022)

Feature Selection for Trustworthy Regression Using Higher Moments

von Hinder, Fabian
Veröffentlicht in ICANN (Veranstaltung : 31. : 2022 : Bristol) Artificial neural networks and mchine learning - ICANN 2022 ; Part 4 (2022)

Contrastive Explanations for Explaining Model Adaptations

von Artelt, André
Veröffentlicht in IWANN (16. : 2021 : Online) Advances in computational intelligence ; Part 1 (2021)