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. 2006.04574
  4. Cited By
X-SHAP: towards multiplicative explainability of Machine Learning
v1v2 (latest)

X-SHAP: towards multiplicative explainability of Machine Learning

8 June 2020
Luisa Bouneder
Yannick Léo
A. Lachapelle
    FAtt
ArXiv (abs)PDFHTML

Papers citing "X-SHAP: towards multiplicative explainability of Machine Learning"

5 / 5 papers shown
Title
Dual feature-based and example-based explanation methods
Dual feature-based and example-based explanation methods
A. Konstantinov
Boris V. Kozlov
Stanislav R. Kirpichenko
Lev V. Utkin
FAtt
105
0
0
29 Jan 2024
SurvBeX: An explanation method of the machine learning survival models
  based on the Beran estimator
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator
Lev V. Utkin
Danila Eremenko
A. Konstantinov
75
5
0
07 Aug 2023
Interpretable Ensembles of Hyper-Rectangles as Base Models
Interpretable Ensembles of Hyper-Rectangles as Base Models
A. Konstantinov
Lev V. Utkin
109
3
0
15 Mar 2023
Attention-like feature explanation for tabular data
Attention-like feature explanation for tabular data
A. Konstantinov
Lev V. Utkin
FAtt
114
5
0
10 Aug 2021
Ensembles of Random SHAPs
Ensembles of Random SHAPs
Lev V. Utkin
A. Konstantinov
FAtt
59
21
0
04 Mar 2021
1