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Why model why? Assessing the strengths and limitations of LIME

Why model why? Assessing the strengths and limitations of LIME

30 November 2020
Jurgen Dieber
S. Kirrane
    FAtt
ArXivPDFHTML

Papers citing "Why model why? Assessing the strengths and limitations of LIME"

4 / 4 papers shown
Title
Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics
Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics
Mohammed Alquliti
Erisa Karafili
BooJoong Kang
XAI
29
0
0
12 May 2025
Coherent Local Explanations for Mathematical Optimization
Coherent Local Explanations for Mathematical Optimization
Daan Otto
Jannis Kurtz
S. Ilker Birbil
56
0
0
07 Feb 2025
Retention Is All You Need
Retention Is All You Need
Karishma Mohiuddin
Mirza Ariful Alam
Mirza Mohtashim Alam
Pascal Welke
Michael Martin
Jens Lehmann
S. Vahdati
8
15
0
06 Apr 2023
Local Interpretable Model Agnostic Shap Explanations for machine
  learning models
Local Interpretable Model Agnostic Shap Explanations for machine learning models
P. Aditya
M. Pal
FAtt
26
6
0
10 Oct 2022
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