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Enriching Visual with Verbal Explanations for Relational Concepts --
  Combining LIME with Aleph

Enriching Visual with Verbal Explanations for Relational Concepts -- Combining LIME with Aleph

4 October 2019
Johannes Rabold
Hannah Deininger
M. Siebers
Ute Schmid
    FAtt
ArXivPDFHTML

Papers citing "Enriching Visual with Verbal Explanations for Relational Concepts -- Combining LIME with Aleph"

14 / 14 papers shown
Title
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
37
4
0
07 Aug 2023
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT
  Security
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security
Maede Zolanvari
Zebo Yang
K. Khan
Rajkumar Jain
N. Meskin
33
73
0
02 May 2022
Enriching Artificial Intelligence Explanations with Knowledge Fragments
Enriching Artificial Intelligence Explanations with Knowledge Fragments
Jože M. Rožanec
Elena Trajkova
I. Novalija
Patrik Zajec
K. Kenda
B. Fortuna
Dunja Mladenić
39
9
0
12 Apr 2022
An Interactive Explanatory AI System for Industrial Quality Control
An Interactive Explanatory AI System for Industrial Quality Control
Dennis Müller
Michael März
Stephan Scheele
Ute Schmid
27
6
0
17 Mar 2022
LIMEcraft: Handcrafted superpixel selection and inspection for Visual
  eXplanations
LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations
Weronika Hryniewska
Adrianna Grudzieñ
P. Biecek
FAtt
53
3
0
15 Nov 2021
Explainable Machine Learning with Prior Knowledge: An Overview
Explainable Machine Learning with Prior Knowledge: An Overview
Katharina Beckh
Sebastian Müller
Matthias Jakobs
Vanessa Toborek
Hanxiao Tan
Raphael Fischer
Pascal Welke
Sebastian Houben
Laura von Rueden
XAI
27
28
0
21 May 2021
Ensembles of Random SHAPs
Ensembles of Random SHAPs
Lev V. Utkin
A. Konstantinov
FAtt
21
20
0
04 Mar 2021
Right for the Right Concept: Revising Neuro-Symbolic Concepts by
  Interacting with their Explanations
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations
Wolfgang Stammer
P. Schramowski
Kristian Kersting
FAtt
14
107
0
25 Nov 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and
  Challenges
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar
Giuseppe Casalicchio
B. Bischl
AI4TS
AI4CE
28
396
0
19 Oct 2020
Interpretable Machine Learning with an Ensemble of Gradient Boosting
  Machines
Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines
A. Konstantinov
Lev V. Utkin
FedML
AI4CE
15
139
0
14 Oct 2020
Counterfactual explanation of machine learning survival models
Counterfactual explanation of machine learning survival models
M. Kovalev
Lev V. Utkin
CML
OffRL
37
19
0
26 Jun 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy
  Summaries with Saliency Maps
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps
Tobias Huber
Katharina Weitz
Elisabeth André
Ofra Amir
FAtt
21
64
0
18 May 2020
A robust algorithm for explaining unreliable machine learning survival
  models using the Kolmogorov-Smirnov bounds
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds
M. Kovalev
Lev V. Utkin
AAML
43
31
0
05 May 2020
Machine Learning in Python: Main developments and technology trends in
  data science, machine learning, and artificial intelligence
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S. Raschka
Joshua Patterson
Corey J. Nolet
AI4CE
29
485
0
12 Feb 2020
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