Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Reviewers in 2021
0
Zitationen
1
Autoren
2022
Jahr
Abstract
The last year was, much like its predecessor, filled with an extreme challenge for many around the world.Repeated waves of COVID infection and new variants continued to bring disruption and misery, though vaccines and vaccination strategies began to offer hope to societies of establishing a new normality.It is in this context, then, that we offer thanks to our numerous reviewers for their time, dedication and expertise over the last year.The success of research journals like Royal Society Open Science depends on reviewers, and we remain very grateful to you all, especially considering the difficulties so many have faced over the last year (and more).To provide an opportunity for recognition for reviewers, we list the names of all reviewers who have kindly contributed to the journal (unless they have opted out).This article is made permanent and citeable by its digital object identifier (DOI).We encourage you to quote your contribution in your applications for tenure, promotion and grants, or other forms of assessment.Where you have provided it, we have included your ORCID, so your contribution can be unambiguously assigned to you.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.336 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.207 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.607 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.476 Zit.