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1910.01837
Cited By
Enriching Visual with Verbal Explanations for Relational Concepts -- Combining LIME with Aleph
4 October 2019
Johannes Rabold
Hannah Deininger
M. Siebers
Ute Schmid
FAtt
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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
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
Maede Zolanvari
Zebo Yang
K. Khan
Rajkumar Jain
N. Meskin
33
73
0
02 May 2022
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
Dennis Müller
Michael März
Stephan Scheele
Ute Schmid
27
6
0
17 Mar 2022
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
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
Lev V. Utkin
A. Konstantinov
FAtt
18
20
0
04 Mar 2021
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
Christoph Molnar
Giuseppe Casalicchio
B. Bischl
AI4TS
AI4CE
28
396
0
19 Oct 2020
Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines
A. Konstantinov
Lev V. Utkin
FedML
AI4CE
12
139
0
14 Oct 2020
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
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
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
S. Raschka
Joshua Patterson
Corey J. Nolet
AI4CE
29
485
0
12 Feb 2020
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