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Conclusive Local Interpretation Rules for Random Forests

Conclusive Local Interpretation Rules for Random Forests

13 April 2021
Ioannis Mollas
Nick Bassiliades
Grigorios Tsoumakas
    FaMLFAtt
ArXiv (abs)PDFHTML

Papers citing "Conclusive Local Interpretation Rules for Random Forests"

6 / 6 papers shown
Title
Personalized Interpretable Classification
Personalized Interpretable Classification
Zengyou He
Yifan Tang
Yifan Tang
Lianyu Hu
Yan Liu
Yan Liu
78
0
0
06 Feb 2023
Benchmarking and Survey of Explanation Methods for Black Box Models
Benchmarking and Survey of Explanation Methods for Black Box Models
F. Bodria
F. Giannotti
Riccardo Guidotti
Francesca Naretto
D. Pedreschi
S. Rinzivillo
XAI
101
229
0
25 Feb 2021
Local Rule-Based Explanations of Black Box Decision Systems
Local Rule-Based Explanations of Black Box Decision Systems
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
D. Pedreschi
Franco Turini
F. Giannotti
136
438
0
28 May 2018
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach
Satoshi Hara
K. Hayashi
83
91
0
29 Jun 2016
Interpreting Tree Ensembles with inTrees
Interpreting Tree Ensembles with inTrees
Houtao Deng
103
246
0
23 Aug 2014
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
290
10,544
0
01 Nov 2007
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