Sparse Interaction Modeling is a statistical modeling framework that characterizes complex systems by selectively representing only the most significant interactions among variables, thereby enforcing sparsity to enhance interpretability and computational efficiency.
45
Publications
3.6K
Citations
153
Authors
88
Institutions
Publications per year
2017–2026
22
Parents
Publications
45
Sampling networks of ecological interactions
Pedro Jordano · Functional Ecology · 2016 · 360 citations · Full text
A lasso for hierarchical interactions
The Annals of Statistics · 2013 · 343 citations · Full text
1–5 of 45
Authors
153
- HY
2
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- WJ
2
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- PJ
2
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- RT
2
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- RH
2
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1–5 of 153
Institutions
88
Stanford University
Stanford, United States
4 h-index
8 publications
1.2K citations
Goddard Space Flight Center
Greenbelt, United States
2 h-index
2 publications
603 citations
The University of Queensland
Brisbane, Australia
2 h-index
4 publications
319 citations
Boston University
Boston, United States
2 h-index
5 publications
324 citations
University of Southern California
Los Angeles, United States
2 h-index
3 publications
60 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
149 citations
The University of Tokyo
Tokyo, Japan
2 h-index
3 publications
175 citations
Estación Biológica de Doñana
Seville, Spain
2 h-index
2 publications
379 citations
1–8 of 88
Venues
- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 3 publications · 741 citations
3
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- arXiv (Cornell University)
Repository · 2 publications · 24 citations
2
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- Quarterly Journal of the Royal Meteorological Society
2 publications · 603 citations
2
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- IEEE/ACM Transactions on Computational Biology and Bioinformatics
2 publications · 72 citations
2
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- ACM Transactions on Knowledge Discovery from Data
TKDD · 1 publications · 16 citations
1
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1–5