Automatic Interaction Discovery
Automatic Interaction Discovery is a computational method that autonomously identifies meaningful patterns of interplay between variables or components within a system without requiring explicit prior specification by the user.
65
Publications
6K
Citations
229
Authors
112
Institutions
Publications per year
2017–2026
21
Parents
65
Social interaction discovery by statistical analysis of F-formations
Marco Cristani, Loris Bazzani, Giulia Paggetti et al. · 2011 · 201 citations · Full text
Bin Liu, Chenxu Zhu, Guilin Li et al. · 2020 · 171 citations
Predicting performance via automated feature-interaction detection
Norbert Siegmund, Sergiy Kolesnikov, Christian Kästner et al. · 2012 · 168 citations
1–5 of 65
229
4
h-index
4
h-index
3
h-index
2
h-index
2
h-index
1–5 of 229
112
University of Maryland, College Park
College Park, United States
4 h-index
13 publications
270 citations
Columbia University
New York, United States
2 h-index
3 publications
93 citations

Universidade de Vigo
Vigo, Spain
2 h-index
2 publications
62 citations
Northwestern University
Evanston, United States
2 h-index
4 publications
143 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
3 publications
174 citations

Ghent University
Ghent, Belgium
2 h-index
6 publications
135 citations
Tsinghua University
Beijing, China
2 h-index
3 publications
103 citations
Idiap Research Institute
Martigny-Combe, Switzerland
2 h-index
4 publications
274 citations
1–8 of 112
2 publications · 187 citations
2
h-index
2 publications · 96 citations
2
h-index
1 publications · 22 citations
1
h-index
1 publications · 12 citations
1
h-index
MM · 1 publications · 30 citations
1
h-index
1–5