Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Adam J. Johs"'
Publikováno v:
Applied AI Letters, Vol 3, Iss 1, Pp n/a-n/a (2022)
Abstract We present a scoping review of user studies in explainable artificial intelligence (XAI) entailing qualitative investigation. We draw on social science corpora to suggest ways for improving the rigor of studies where XAI researchers use obse
Externí odkaz:
https://doaj.org/article/5393311afe5e4230b25bc7eafdaa170f
Publikováno v:
Case-Based Reasoning Research and Development ISBN: 9783030010805
ICCBR
ICCBR
This paper demonstrates how case-based reasoning (CBR) can be used for an explainable artificial intelligence (XAI) approach to justify solutions produced by an opaque learning method (i.e., target method), particularly in the context of unstructured
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dbfec7cb0043074f69ad9bb8a367ed1
https://doi.org/10.1007/978-3-030-01081-2_29
https://doi.org/10.1007/978-3-030-01081-2_29
