ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.09374
  4. Cited By
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining
  AI Systems

Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems

19 July 2022
Silvan Mertes
Christina Karle
Tobias Huber
Katharina Weitz
Ruben Schlagowski
Elisabeth André
ArXivPDFHTML

Papers citing "Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems"

10 / 10 papers shown
Title
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based
  Reasoning Pairings for Explanation and Data Augmentation
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation
Markt. Keane
Eoin M. Kenny
M. Temraz
Derek Greene
Barry Smyth
45
5
0
29 Apr 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to
  Rectify in the Evaluation of Counterfactual XAI Techniques
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
Mark T. Keane
Eoin M. Kenny
Eoin Delaney
Barry Smyth
CML
58
146
0
26 Feb 2021
GANterfactual - Counterfactual Explanations for Medical Non-Experts
  using Generative Adversarial Learning
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning
Silvan Mertes
Tobias Huber
Katharina Weitz
Alexander Heimerl
Elisabeth André
GAN
AAML
MedIm
51
72
0
22 Dec 2020
On Generating Plausible Counterfactual and Semi-Factual Explanations for
  Deep Learning
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning
Eoin M. Kenny
Mark T. Keane
54
101
0
10 Sep 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
113
6,251
0
22 Oct 2019
Metrics for Explainable AI: Challenges and Prospects
Metrics for Explainable AI: Challenges and Prospects
R. Hoffman
Shane T. Mueller
Gary Klein
Jordan Litman
XAI
72
725
0
11 Dec 2018
Contrastive Explanation: A Structural-Model Approach
Contrastive Explanation: A Structural-Model Approach
Tim Miller
CML
55
167
0
07 Nov 2018
Actionable Recourse in Linear Classification
Actionable Recourse in Linear Classification
Berk Ustun
Alexander Spangher
Yang Liu
FaML
105
548
0
18 Sep 2018
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
98
2,348
0
01 Nov 2017
Explanation in Artificial Intelligence: Insights from the Social
  Sciences
Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller
XAI
236
4,249
0
22 Jun 2017
1