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• "Piecewise Linear Transformation − Propagating Aleatoric Uncertainty in Neural Networks", Krapf, Hagn, Miethaner, Schiller, Luttner, Heinrich, 2024

  Publikation

  Real-world data typically exhibit aleatoric uncertainty which has to be considered during data-driven decision-making to assess the confidence of the...

  Publikation auf epub.uni-regensburg.de: "Piecewise Linear Transformation − Propagating Aleatoric Uncertainty in Neural Networks" (externer Link, öffnet neues Fenster)

• "A Taxonomy for Uncertainty-Aware Explainable AI", Förster, Hagn, Hambauer, Jaki, Obermeier, Pinski, Schauer, Schiller, Benlian, Heinrich, Jussupow, Klier, Kraus, Schnurr, 2025

  Publikation

  Artificial Intelligence (AI) is increasingly used to augment human decision-making. However, especially in high-stakes domains, the integration of AI...

  Publikation auf epub.uni-regensburg.de: "A Taxonomy for Uncertainty-Aware Explainable AI" (externer Link, öffnet neues Fenster)

• "Handling imperfection: A taxonomy for machine learning on data with data quality defects", Hagn, Heinrich, Krapf, Schiller, 2025

  Publikation

  In recent years, machine learning (ML) has become ubiquitous in sectors including transportation, security, health, and finance to analyze large...

  Publikation auf epub.uni-regensburg.de: "Handling imperfection: A taxonomy for machine learning on data with data quality defects" (externer Link, öffnet neues Fenster)

• "Piecewise Linear Transformation − Propagating Aleatoric Uncertainty in Neural Networks", Krapf, Hagn, Miethaner, Schiller, Luttner, Heinrich, 2024

  Publikation

  Real-world data typically exhibit aleatoric uncertainty which has to be considered during data-driven decision-making to assess the confidence of the...

  Publikation auf epub.uni-regensburg.de: "Piecewise Linear Transformation − Propagating Aleatoric Uncertainty in Neural Networks" (externer Link, öffnet neues Fenster)

• "EXPLORE: A Novel Method for Local Explanations", Heinrich, Krapf, Miethaner, 2024

  Publikation

  Artificial Intelligence (AI) and especially Machine Learning (ML) models are ubiquitous in research, business and society. However, the predictions of...

  Publikation auf epub.uni-regensburg.de: "EXPLORE: A Novel Method for Local Explanations" (externer Link, öffnet neues Fenster)

• "Piecewise Linear Transformation − Propagating Aleatoric Uncertainty in Neural Networks", Krapf, Hagn, Miethaner, Schiller, Luttner, Heinrich, 2024

  Publikation

  Real-world data typically exhibit aleatoric uncertainty which has to be considered during data-driven decision-making to assess the confidence of the...

  Publikation auf epub.uni-regensburg.de: "Piecewise Linear Transformation − Propagating Aleatoric Uncertainty in Neural Networks" (externer Link, öffnet neues Fenster)

• "EXPLORE: A Novel Method for Local Explanations", Heinrich, Krapf, Miethaner, 2024

  Publikation

  Artificial Intelligence (AI) and especially Machine Learning (ML) models are ubiquitous in research, business and society. However, the predictions of...

  Publikation auf epub.uni-regensburg.de: "EXPLORE: A Novel Method for Local Explanations" (externer Link, öffnet neues Fenster)

• "Kann man den Entscheidungen Künstlicher Intelligenz trauen? Zu den Auswirkungen unsicherer Daten auf die Entscheidungen Neuronaler Netze", Krapf, Heinrich, 2023

  Publikation

  Im Laufe der letzten Jahre haben sich maschinelle Lernverfahren stetig weiterentwickelt und sind zunehmend in der Lage, immer anspruchsvollere und...

  Publikation auf epub.uni-regensburg.de: "Kann man den Entscheidungen Künstlicher Intelligenz trauen? Zu den Auswirkungen unsicherer Daten auf die Entscheidungen Neuronaler Netze" (externer Link, öffnet neues Fenster)

• "The Currency of Wiki Articles – A Language Model-based Approach", Heinrich, Huber, Krapf, Schiller, 2023

  Publikation

  Wikis are ubiquitous in organisational and private use and provide a wealth of textual data. Maintaining the currency of this textual data is...

  Publikation auf epub.uni-regensburg.de: "The Currency of Wiki Articles – A Language Model-based Approach" (externer Link, öffnet neues Fenster)

• "Piecewise Linear Transformation − Propagating Aleatoric Uncertainty in Neural Networks", Krapf, Hagn, Miethaner, Schiller, Luttner, Heinrich, 2024

  Publikation

  Real-world data typically exhibit aleatoric uncertainty which has to be considered during data-driven decision-making to assess the confidence of the...

  Publikation auf epub.uni-regensburg.de: "Piecewise Linear Transformation − Propagating Aleatoric Uncertainty in Neural Networks" (externer Link, öffnet neues Fenster)