Data Interpretation Assessment
Data Interpretation Assessment is a form of scientific assessment that evaluates an individual's ability to analyze, synthesize, and draw valid conclusions from empirical data, distinguishing it from other assessment types by its focus on reasoning processes applied to observed or experimental data.
19
Publications
2.9K
Citations
67
Authors
37
Institutions
Publications per year
2017–2026
6
19
Evaluation of post-hoc interpretability methods in time-series classification
Hugues Turbé, Mina Bjelogrlic, Christian Lovis et al. · Nature Machine Intelligence · 2023 · 112 citations · Full text
1–5 of 19
67
2
h-index
2
h-index
1
h-index
1
h-index
University of North Carolina at Chapel Hill, United States
1 publications · 14 citations
1
h-index
1–5 of 67
37
Allen Institute
Seattle, United States
1 h-index
1 publications
2.1K citations

University of Victoria
Victoria, Canada
1 h-index
1 publications
18 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
1 publications
14 citations
Yale University
New Haven, United States
1 h-index
3 publications
138 citations
Sağlık Bilimleri Üniversitesi
Istanbul, Türkiye
1 h-index
4 publications
64 citations
University of California, Berkeley
Berkeley, United States
1 h-index
5 publications
10.4K citations

University of Minnesota
Minneapolis, United States
1 h-index
1 publications
46 citations

Imperial College London
London, United Kingdom
1 h-index
1 publications
112 citations
1–8 of 37
2 publications · 40 citations
2
h-index
Repository · 2 publications · 52 citations
2
h-index
1 publications · 58 citations
1
h-index
1 publications · 69 citations
1
h-index
1 publications · 15 citations
1
h-index
1–5