Hidden Characteristics
Hidden Characteristics is an academic concept referring to a type of contribution within the domain of hidden information that consists of a novel method, model, framework, theory, construct, dataset, task, or metric specifically designed to uncover, represent, or reason about attributes or properties that are not directly observable in a given system or dataset.
40
Publications
3.2K
Citations
93
Authors
68
Institutions
Publications per year
2017–2026
12
Parents
40
Texture-Based Airport Runway Detection
Ugur Zongur · IEEE Geoscience and Remote Sensing Letters · 2012 · 115 citations · Full text
1–5 of 40
93
3
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 93
68
Max Planck Institute for Behavioral Economics
Bonn, Germany
3 h-index
3 publications
74 citations
University of Bonn
Bonn, Germany
2 h-index
2 publications
29 citations
European Corporate Governance Institute
Brussels, Belgium
2 h-index
2 publications
29 citations
MingDao University
Bitou, Taiwan
1 h-index
1 publications
53 citations

Kyoto University
Kyoto, Japan
1 h-index
1 publications
12 citations
University of Hradec Králové
Hradec Králové, Czechia
1 h-index
2 publications
26 citations

Keio University
Tokyo, Japan
1 h-index
1 publications
24 citations

Hankuk University of Foreign Studies
Seoul, South Korea
1 h-index
1 publications
17 citations
1–8 of 68
Repository · 2 publications · 29 citations
2
h-index
GR · 1 publications · 20 citations
1
h-index
1 publications · 38 citations
1
h-index
TFS · 1 publications · 18 citations
1
h-index
GRSL · 1 publications · 115 citations
1
h-index
1–5