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20182022
most citedA Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models

4 citations · 5 across the 3 of their papers we have counts for

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cs.LG2018

Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview

Michael Kläs

Quantifying and managing uncertainties that occur when data-driven models such as those provided by AI and machine learning methods are applied is crucial. This whitepaper provides…