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Uncertainty evaluation for machine learning
8 references·2 citing·30 second hop
Uncertainty evaluation for machine learning (2022)Uncertainty evaluation for machine learni…Getting started with uncertainty evaluation using the Monte Carlo method in R (2021)Getting started with uncertai…Establishing the rules for building trustworthy AI (2019)Establishing the rules for bu…A tutorial on Bayesian Normal linear regression (2015)A tutorial on Bayesian Normal…Guide to the Expression of Uncertainty in Measurement (2013)Guide to the Expression of Un…The GUM, Bayesian inference and the observation and measurement equations (2011)The GUM, Bayesian inference a…Evaluation of measurement data – Supplement 2 to the “Guide to the expression of uncertainty in measurement” – Extension to any number of output quantities (2011)Evaluation of measurement dat…Bayesian uncertainty analysis for a regression model versus application of GUM Supplement 1 to the least-squares estimate (2011)Bayesian uncertainty analysis…Calculation of uncertainty in the presence of prior knowledge (2007)Calculation of uncertainty in…GUM-Based Measurement Uncertainty Analysis of a Nonlinear Optical Angle Sensor Using Artificial Neural Network (2025)GUM-Based Measurement Uncerta…Trustworthy Artificial Intelligence in the Context of Metrology (2024)Trustworthy Artificial Intell…Combining Probability Distributions: A Critique and an Annotated Bibliography (1986)On use of Bayesian statistics to make theGuide to the Expression of Uncertainty in Measurementconsistent (2003)GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT (2006)Examples of S1 coverage intervals with very good and very bad long-run success rate (2016)The GUM perspective on straight-line errors-in-variables regression (2021)Evaluation of measurement data — Guide to the expression of uncertainty in measurement (2008)Bayesian uncertainty analysis compared with the application of the GUM and its supplements (2014)Numerical inversion of a characteristic function: An alternative tool to form the probability distribution of output quantity in linear measurement models (2016)Comparison of three approaches for computing measurement uncertainties (2020)Guide to the Expression of Uncertainty in Measurement (1995)The use of a Monte Carlo method for evaluating uncertainty and expanded uncertainty (2006)A Review on the Statistical Methods and Implementation to Homogeneity Assessment of Certified Reference Materials in Relation to Uncertainty (2020)Empirical Model Building and Response Surfaces (1988)Error-in-variables models in calibration (2017)Bayesian methods for type A evaluation of standard uncertainty (2018)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Soft ethics, the governance of the digital and the General Data Protection Regulation (2018)Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications (2020)Social physics (2022)GenAI against humanity: nefarious applications of generative artificial intelligence and large language models (2024)Quality Systems—Medical Devices—Particular Requirements for the Application of ISO 9001 (2004)The International Temperature Scale of 1990 (ITS-90) (1990)Artificial Intelligence Risk Management Framework (AI RMF 1.0) (2023)Introduction to Uncertainty in Measurement: Using the GUM (Guide to the Expression of Uncertainty in Measurement) (2006)Harmonized guidelines for single-laboratory validation of methods of analysis (IUPAC Technical Report) (2002)Analysis for determining surface free energy uncertainty by the Owen–Wendt method (2008)Uncertainty analysis for the coefficient of band-to-band absorption of crystalline silicon (2015)On challenges in the uncertainty evaluation for time-dependent measurements (2016)Invited Article: Concepts and tools for the evaluation of measurement uncertainty (2017)Guide to the expression of uncertainty in measurement — Part 1: Introduction (2023)
this work references cited by second hop

References

  • 2013Guide to the Expression of Uncertainty in Measurement2,767 cited
  • 2019Establishing the rules for building trustworthy AI392 cited
  • 2011Evaluation of measurement data – Supplement 2 to the “Guide to the expression of uncertainty in measurement” – Extension to any number of output quantities104 cited
  • 2011The GUM, Bayesian inference and the observation and measurement equations42 cited
  • 2007Calculation of uncertainty in the presence of prior knowledge35 cited
  • 2011Bayesian uncertainty analysis for a regression model versus application of GUM Supplement 1 to the least-squares estimate32 cited
  • 2021Getting started with uncertainty evaluation using the Monte Carlo method in R29 cited
  • 2015A tutorial on Bayesian Normal linear regression29 cited

Cited by

  • 2024Trustworthy Artificial Intelligence in the Context of Metrology11 cited
  • 2025GUM-Based Measurement Uncertainty Analysis of a Nonlinear Optical Angle Sensor Using Artificial Neural Network11 cited

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