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

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

28 November 2018
Michael Kläs
ArXivPDFHTML

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

2 / 2 papers shown
Title
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of
  Information-Fusion-Enhanced AI Models based on Machine Learning
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning
Janek Groß
Michael Kläs
Lisa Jöckel
Pascal Gerber
23
2
0
24 May 2023
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty
  Estimates for AI Models
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models
Pascal Gerber
Lisa Jöckel
Michael Kläs
27
4
0
10 Jan 2022
1