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SurvLIME-Inf: A simplified modification of SurvLIME for explanation of
  machine learning survival models

SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models

5 May 2020
Lev V. Utkin
M. Kovalev
E. Kasimov
ArXiv (abs)PDFHTML

Papers citing "SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models"

5 / 5 papers shown
Title
Interpretable Machine Learning for Survival Analysis
Interpretable Machine Learning for Survival Analysis
Sophie Hanna Langbein
Mateusz Krzyzinski
Mikolaj Spytek
Hubert Baniecki
P. Biecek
Marvin N. Wright
85
2
0
15 Mar 2024
L1-regularized neural ranking for risk stratification and its
  application to prediction of time to distant metastasis in luminal node
  negative chemotherapy naïve breast cancer patients
L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients
F. Minhas
M. Toss
N. Wahab
E. Rakha
Nasir M. Rajpoot
49
4
0
23 Aug 2021
Looking Deeper into Tabular LIME
Looking Deeper into Tabular LIME
Damien Garreau
U. V. Luxburg
FAttLMTD
176
30
0
25 Aug 2020
Counterfactual explanation of machine learning survival models
Counterfactual explanation of machine learning survival models
M. Kovalev
Lev V. Utkin
CMLOffRL
119
19
0
26 Jun 2020
SurvLIME: A method for explaining machine learning survival models
SurvLIME: A method for explaining machine learning survival models
M. Kovalev
Lev V. Utkin
E. Kasimov
292
91
0
18 Mar 2020
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