Harnessing Prior Knowledge for Explainable Machine Learning: An Overview
| Document Type: | Conference Object |
|---|---|
| Language: | English |
| Author: | Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rueden |
| Parent Title (English): | 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 08-10 February 2023, Raleigh, NC, USA |
| Number of pages: | 14 |
| First Page: | 450 |
| Last Page: | 463 |
| ISBN: | 978-1-6654-6299-0 |
| DOI: | https://doi.org/10.1109/SaTML54575.2023.00038 |
| Publisher: | IEEE |
| Date of first publication: | 2023/06/01 |
| Copyright: | ©2023 IEEE |
| Funding: | This research has been funded by the Federal Ministry of Education and Research of Germany as part of the Competence Center Machine Learning Rhine-Ruhr ML2R (01—S18038ABC). |
| Keyword: | Human computer interaction; Knowledge representation; Machine Learning; Taxonomy |
| Departments, institutes and facilities: | Fachbereich Informatik |
| Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) | |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Entry in this database: | 2023/06/15 |
