xxAI - Beyond Explainable AI International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers
| dc.contributor.author | Andreas Holzinger | |
| dc.contributor.author | Randy Goebel | |
| dc.contributor.author | Ruth Fong | |
| dc.contributor.author | Taesup Moon | |
| dc.contributor.author | Klaus-Robert Müller | |
| dc.contributor.author | Wojciech Samek | |
| dc.date.accessioned | 2026-05-07T21:20:56Z | |
| dc.date.available | 2026-05-07T21:20:56Z | |
| dc.date.issued | 2022 | |
| dc.description | Libro electrónico | |
| dc.description.abstract | This is an open access book. Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and models that are both predictive and interpretable and understandable for humans. | |
| dc.identifier.isbn | 978-3-319-69623-1165 | |
| dc.identifier.other | https://doi.org/10.1007/978-3-031-04083-2 | |
| dc.identifier.uri | https://link.springer.com/openurl?genre=book&isbn=978-3-031-04083-2 | |
| dc.identifier.uri | http://bibliovirtual.umar.mx:4000/handle/123456789/2475 | |
| dc.language.iso | en_US | |
| dc.publisher | Springer International Publishing | |
| dc.title | xxAI - Beyond Explainable AI International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers | |
| dc.type | Book | |
| eperson.firstname | nombre | |
| person.jobTitle | trabajo |
Archivos
Bloque original
1 - 1 de 1
Cargando...
- Nombre:
- xxAI - Beyond Explainable AI International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers.pdf
- Tamaño:
- 35.23 MB
- Formato:
- Adobe Portable Document Format
Bloque de licencias
1 - 1 de 1
Cargando...
- Nombre:
- license.txt
- Tamaño:
- 20 B
- Formato:
- Item-specific license agreed to upon submission
- Descripción:
