Design principles for falsifiable, replicable and reproducible empirical machine learning research
Publication date
2024-11-26
Document type
Konferenzbeitrag
Organisational unit
Conference
35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024) ; Vienna, Austria ; November 4–7, 2024
Publisher
Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH
Series or journal
Open Access Series in Informatics
ISSN
Periodical volume
125
Book title
35th International Conference on Principles of Diagnosis and Resilient Systems
First page
7:1
Last page
7:13
Peer-reviewed
✅
Part of the university bibliography
✅
Language
English
Version
Published version
Access right on openHSU
Metadata only access