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. 2202.07244
  4. Cited By
Explaining Reject Options of Learning Vector Quantization Classifiers

Explaining Reject Options of Learning Vector Quantization Classifiers

15 February 2022
André Artelt
Johannes Brinkrolf
Roel W. Visser
Barbara Hammer
    FAtt
ArXivPDFHTML

Papers citing "Explaining Reject Options of Learning Vector Quantization Classifiers"

7 / 7 papers shown
Title
Interpretable and Fair Mechanisms for Abstaining Classifiers
Interpretable and Fair Mechanisms for Abstaining Classifiers
Daphne Lenders
Andrea Pugnana
Roberto Pellungrini
Toon Calders
D. Pedreschi
F. Giannotti
FaML
96
1
0
24 Mar 2025
Stacked Confusion Reject Plots (SCORE)
Stacked Confusion Reject Plots (SCORE)
Stephan Hasler
Lydia Fischer
29
0
0
25 Jun 2024
Model Agnostic Explainable Selective Regression via Uncertainty
  Estimation
Model Agnostic Explainable Selective Regression via Uncertainty Estimation
Andrea Pugnana
Carlos Mougan
Dan Saattrup Nielsen
49
0
0
15 Nov 2023
Precision and Recall Reject Curves for Classification
Precision and Recall Reject Curves for Classification
Lydia Fischer
Patricia Wollstadt
17
1
0
16 Aug 2023
"Even if ..." -- Diverse Semifactual Explanations of Reject
"Even if ..." -- Diverse Semifactual Explanations of Reject
André Artelt
Barbara Hammer
33
12
0
05 Jul 2022
Model Agnostic Local Explanations of Reject
Model Agnostic Local Explanations of Reject
André Artelt
Roel W. Visser
Barbara Hammer
FAtt
27
7
0
16 May 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,696
0
28 Feb 2017
1