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Directive Explanations for Monitoring the Risk of Diabetes Onset:
  Introducing Directive Data-Centric Explanations and Combinations to Support
  What-If Explorations

Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations

21 February 2023
Aditya Bhattacharya
Jeroen Ooge
Gregor Stiglic
K. Verbert
ArXivPDFHTML

Papers citing "Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations"

7 / 7 papers shown
Title
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Federico Maria Cau
Lucio Davide Spano
31
0
0
02 May 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Indu Panigrahi
Sunnie S. Y. Kim
Amna Liaqat
Rohan Jinturkar
Olga Russakovsky
Ruth C. Fong
Parastoo Abtahi
FAtt
HAI
57
0
0
14 Apr 2025
An Actionability Assessment Tool for Explainable AI
An Actionability Assessment Tool for Explainable AI
Ronal Singh
Tim Miller
L. Sonenberg
Eduardo Velloso
F. Vetere
Piers Howe
Paul Dourish
27
2
0
19 Jun 2024
Representation Debiasing of Generated Data Involving Domain Experts
Representation Debiasing of Generated Data Involving Domain Experts
Aditya Bhattacharya
Simone Stumpf
K. Verbert
36
2
0
17 May 2024
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A
  Stakeholder Perspective on XAI and a Conceptual Model Guiding
  Interdisciplinary XAI Research
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research
Markus Langer
Daniel Oster
Timo Speith
Holger Hermanns
Lena Kästner
Eva Schmidt
Andreas Sesing
Kevin Baum
XAI
62
416
0
15 Feb 2021
ViCE: Visual Counterfactual Explanations for Machine Learning Models
ViCE: Visual Counterfactual Explanations for Machine Learning Models
Oscar Gomez
Steffen Holter
Jun Yuan
E. Bertini
AAML
57
93
0
05 Mar 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,212
0
23 Aug 2019
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