TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization is a research paper (2022). On theSindex it has a DataRank of 0. It has been cited 22 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
NSF
Grant: IIS-1563816,CNS-1704701
NIDA
Grant: DA054994-01
National Science Foundation
Grant: 1704701
SaTC: CORE: Medium: Understanding and Fortifying Machine Learning Based Security Analytics
National Institutes of Health
Grant: 1R01DA054994-01
A machine learning framework for understanding impacts on the HIV latent reservoir size, including drugs of abuse
FWCI
1.84
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization