Title
KANDINSKY Patterns: A Swiss-Knife for the Study of Explainable AI.
Language
English
Description (en)
Kandinsky Patterns are mathematically describable, simple, self-contained, hence controllable test datasets for the development, validation and training of explainability in artificial intelligence (AI) and machine learning (ML).
Author of the digital object
Andreas  Holzinger  (Medical University Graz and Alberta Machine Intelligence Institute Edmonton, Canada)
Peter  Kieseberg  (University of Applied Sciences, St.Poelten)
Heimo  Müller  (Medical University Graz)
Format
application/pdf
Size
754.0 kB
Licence Selected
All rights reserved
Type of publication
Article
Name of Publication (en)
ERCIM News
Number
120
From Page
41
To Page
42
Publication Date
2020-01
Citable links

Persistent identifier
https://phaidra.fhstp.ac.at/o:4336

Content
Details
Uploader
Object type
PDFDocument
Format
application/pdf
Created
15.12.2020 08:35:12
Metadata
St. Pölten University of Applied Sciences | Campus-Platz 1 | A-3100 St. Pölten | T +43/2742/313 228-234