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Ensembles of Random SHAPs

Ensembles of Random SHAPs

4 March 2021
Lev V. Utkin
A. Konstantinov
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Ensembles of Random SHAPs"

9 / 9 papers shown
Title
A survey and taxonomy of methods interpreting random forest models
A survey and taxonomy of methods interpreting random forest models
Maissae Haddouchi
A. Berrado
306
8
0
17 Jul 2024
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
292
0
0
29 Jan 2024
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the
  Survival Models
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models
Lev V. Utkin
Danila Eremenko
A. Konstantinov
199
0
0
11 Dec 2023
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 estimatorInternational Journal of Data Science and Analysis (IJDSA), 2023
Lev V. Utkin
Danila Eremenko
A. Konstantinov
144
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
245
4
0
15 Mar 2023
WindowSHAP: An Efficient Framework for Explaining Time-series
  Classifiers based on Shapley Values
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley ValuesJournal of Biomedical Informatics (JBI), 2022
Amin Nayebi
Sindhu Tipirneni
Chandan K. Reddy
Brandon Foreman
V. Subbian
FAttAI4TS
148
36
0
11 Nov 2022
An Explainable Stacked Ensemble Model for Static Route-Free Estimation
  of Time of Arrival
An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival
Sören Schleibaum
J. Muller
Monika Sester
AI4TS
155
4
0
17 Mar 2022
An Imprecise SHAP as a Tool for Explaining the Class Probability
  Distributions under Limited Training Data
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data
Lev V. Utkin
A. Konstantinov
Kirill Vishniakov
FAtt
244
7
0
16 Jun 2021
SurvLIME: A method for explaining machine learning survival models
SurvLIME: A method for explaining machine learning survival modelsKnowledge-Based Systems (KBS), 2020
M. Kovalev
Lev V. Utkin
E. Kasimov
390
101
0
18 Mar 2020
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