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. 2001.11757
  4. Cited By
Statistical stability indices for LIME: obtaining reliable explanations
  for Machine Learning models

Statistical stability indices for LIME: obtaining reliable explanations for Machine Learning models

31 January 2020
Giorgio Visani
Enrico Bagli
F. Chesani
A. Poluzzi
D. Capuzzo
    FAtt
ArXivPDFHTML

Papers citing "Statistical stability indices for LIME: obtaining reliable explanations for Machine Learning models"

13 / 13 papers shown
Title
Coherent Local Explanations for Mathematical Optimization
Coherent Local Explanations for Mathematical Optimization
Daan Otto
Jannis Kurtz
S. Ilker Birbil
75
0
0
07 Feb 2025
Explanations of Machine Learning predictions: a mandatory step for its
  application to Operational Processes
Explanations of Machine Learning predictions: a mandatory step for its application to Operational Processes
Giorgio Visani
F. Chesani
Enrico Bagli
D. Capuzzo
A. Poluzzi
FaML
16
5
0
30 Dec 2020
OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms
OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms
Giorgio Visani
Enrico Bagli
F. Chesani
FAtt
34
60
0
10 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
187
90
0
18 Mar 2020
ALIME: Autoencoder Based Approach for Local Interpretability
ALIME: Autoencoder Based Approach for Local Interpretability
Sharath M. Shankaranarayana
D. Runje
FAtt
30
103
0
04 Sep 2019
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations
  Approach for Computer-Aided Diagnosis Systems
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems
Muhammad Rehman Zafar
N. Khan
FAtt
80
154
0
24 Jun 2019
Do Not Trust Additive Explanations
Do Not Trust Additive Explanations
Alicja Gosiewska
P. Biecek
36
41
0
27 Mar 2019
Using Artificial Intelligence to Support Compliance with the General
  Data Protection Regulation
Using Artificial Intelligence to Support Compliance with the General Data Protection Regulation
John K. C. Kingston
AILaw
16
43
0
15 Sep 2018
On the Robustness of Interpretability Methods
On the Robustness of Interpretability Methods
David Alvarez-Melis
Tommi Jaakkola
55
524
0
21 Jun 2018
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
83
3,922
0
06 Feb 2018
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
555
21,613
0
22 May 2017
Distribution-Free Predictive Inference For Regression
Distribution-Free Predictive Inference For Regression
Jing Lei
M. G'Sell
Alessandro Rinaldo
Robert Tibshirani
Larry A. Wasserman
205
832
0
14 Apr 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
587
16,828
0
16 Feb 2016
1