On the public citation graph

https://doi.org/10.2139/ssrn.4645507

0 signed · 25 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00116251openalex-extracted
Induction of Decision Trees
inferredcites →https://doi.org/10.1007/s10994-006-6226-1openalex-extracted
Extremely randomized trees
inferredcites →https://doi.org/10.1007/s12665-021-09653-zopenalex-extracted
Assessing data-scarce contaminated groundwater sites surrounding petrochemical industries
inferredcites →https://doi.org/10.1016/j.ecolind.2022.109360openalex-extracted
Land use contribution to spatiotemporal stream water and ecological quality: Implications for water resources management in peri-urban catchments
inferredcites →https://doi.org/10.1016/j.envpol.2019.03.052openalex-extracted
Co-transport of phenanthrene and pentachlorophenol by natural soil nanoparticles through saturated sand columns
inferredcites →https://doi.org/10.1016/j.jclepro.2019.04.293openalex-extracted
Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater
inferredcites →https://doi.org/10.1016/j.jconhyd.2019.103518openalex-extracted
Climate change impact on residual contaminants under sustainable remediation
inferredcites →https://doi.org/10.1016/j.jconrel.2018.06.007openalex-extracted
Sustainable in situ remediation of recalcitrant organic pollutants in groundwater with controlled release materials: A review
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.10.231openalex-extracted
Statistical modelling of groundwater contamination monitoring data: A comparison of spatial and spatiotemporal methods
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.139879openalex-extracted
INSIDE: An efficient guide for sustainable remediation practice in addressing contaminated soil and groundwater
inferredcites →https://doi.org/10.1016/j.scitotenv.2022.154992openalex-extracted
DynSus: Dynamic sustainability assessment in groundwater remediation practice
inferredcites →https://doi.org/10.1016/j.watres.2017.08.031openalex-extracted
Assessing the chemical contamination dynamics in a mixed land use stream system
inferredcites →https://doi.org/10.1016/s0045-6535(98)00480-9openalex-extracted
Biodegradation of low aqueous concentration pentachlorophenol (PCP) contaminated groundwater
inferredcites →https://doi.org/10.1016/s0304-3975(00)00251-6openalex-extracted
NP-completeness for calculating power indices of weighted majority games
inferredcites →https://doi.org/10.1017/cbo9781139165495openalex-extracted
Statistical Models: Theory and Practice
inferredcites →https://doi.org/10.1021/acs.est.1c07440openalex-extracted
PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-extracted
Random Forests
inferredcites →https://doi.org/10.1038/s42256-019-0048-xopenalex-extracted
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
inferredcites →https://doi.org/10.1038/s42256-019-0138-9openalex-extracted
From local explanations to global understanding with explainable AI for trees
inferredcites →https://doi.org/10.1111/j.1745-6584.1994.tb00639.xopenalex-extracted
Attenuation and Biodegradation of Chlorophenols in Ground Water at a Former Wood Treating Facility
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-extracted
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1145/2939672.2939785openalex-extracted
XGBoost
inferredcites →https://doi.org/10.3390/su13147596openalex-extracted
INSIDE-T: A Groundwater Contamination Transport Model for Sustainability Assessment in Remediation Practice
inferredcites →https://doi.org/10.4230/oasics.dx.2024.27openalex-extracted
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
inferredcites →https://doi.org/10.48550/arxiv.1705.07874openalex-extracted
A Unified Approach to Interpreting Model Predictions
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.