On the public citation graph

Strategy of Spatial Interpolation of Globally Obtained Spt Data Via the Synthetic Minority Over-Sampling Technique (Smote)

https://doi.org/10.2139/ssrn.4531229
0 signed · 33 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/s10064-019-01503-4openalex-extracted
Sensitivities of input parameters for predicting stability of soil slope
inferredcites →https://doi.org/10.1007/s10064-021-02523-9openalex-extracted
A hybrid cluster-borderline SMOTE method for imbalanced data of rock groutability classification
inferredcites →https://doi.org/10.1007/s10064-022-02659-2openalex-extracted
Intelligent prediction of rockburst based on Copula-MC oversampling architecture
inferredcites →https://doi.org/10.1007/s10064-023-03141-3openalex-extracted
Rockburst time warning method with blasting cycle as the unit based on microseismic information time series: a case study
inferredcites →https://doi.org/10.1007/s10064-023-03182-8openalex-extracted
Intelligent real-time predicting method for rock characterization based on multi-source information integration while drilling
inferredcites →https://doi.org/10.1016/j.acags.2022.100094openalex-extracted
Applying machine learning methods to predict geology using soil sample geochemistry
inferredcites →https://doi.org/10.1016/j.catena.2020.104632openalex-extracted
Application of predictor variables in spatial quantification of soil organic carbon and total nitrogen using regression kriging in the North Kashmir forest Himalayas
inferredcites →https://doi.org/10.1016/j.catena.2022.106098openalex-extracted
Three-dimensional empirical Bayesian kriging for soil PAHs interpolation considering the vertical soil lithology
inferredcites →https://doi.org/10.1016/j.enggeo.2018.09.022openalex-extracted
Statistical interpretation of spatially varying 2D geo-data from sparse measurements using Bayesian compressive sampling
inferredcites →https://doi.org/10.1016/j.enggeo.2018.10.027openalex-extracted
Estimation of elastic wave velocity and DCPI distributions using outlier analysis
inferredcites →https://doi.org/10.1016/j.enggeo.2019.105430openalex-extracted
Interpolation and stratification of multilayer soil property profile from sparse measurements using machine learning methods
inferredcites →https://doi.org/10.1016/j.enggeo.2020.105813openalex-extracted
Probabilistic estimation of cross-variogram based on Bayesian inference
inferredcites →https://doi.org/10.1016/j.enggeo.2021.106163openalex-extracted
Estimation of effective cohesion using artificial neural networks based on index soil properties: A Singapore case
inferredcites →https://doi.org/10.1016/j.eswa.2010.09.071openalex-extracted
Soil liquefaction modeling by Genetic Expression Programming and Neuro-Fuzzy
inferredcites →https://doi.org/10.1016/j.eswa.2020.114474openalex-extracted
A fractal interpolation approach to improve neural network predictions for difficult time series data
inferredcites →https://doi.org/10.1016/j.eswa.2021.115702openalex-extracted
Minimum training sample size requirements for achieving high prediction accuracy with the BN model: A case study regarding seismic liquefaction
inferredcites →https://doi.org/10.1016/j.eswa.2022.119041openalex-extracted
An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems
inferredcites →https://doi.org/10.1016/j.eswa.2023.119796openalex-extracted
Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites
inferredcites →https://doi.org/10.1016/j.eswa.2023.119912openalex-extracted
Value-aware meta-transfer learning and convolutional mask attention networks for reservoir identification with limited data
inferredcites →https://doi.org/10.1016/j.eswa.2023.120102openalex-extracted
SmS: SMOTE-stacked hybrid model for diagnosis of polycystic ovary syndrome using feature selection method
inferredcites →https://doi.org/10.1016/j.geoderma.2012.05.022openalex-extracted
A geographically weighted regression kriging approach for mapping soil organic carbon stock
inferredcites →https://doi.org/10.1016/j.jelekin.2020.102426openalex-extracted
Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals
inferredcites →https://doi.org/10.1016/j.jrmge.2021.09.007openalex-extracted
Rockhead profile simulation using an improved generation method of conditional random field
inferredcites →https://doi.org/10.1016/j.psep.2022.03.018openalex-extracted
Estimation of bulk electrical conductivity in saline medium with contaminated lead solution through TDR coupled with machine learning
inferredcites →https://doi.org/10.1016/j.soildyn.2022.107662openalex-extracted
Explainable machine learning model for liquefaction potential assessment of soils using XGBoost-SHAP
inferredcites →https://doi.org/10.1038/s41598-021-86137-xopenalex-extracted
Suggestion for a new deterministic model coupled with machine learning techniques for landslide susceptibility mapping
inferredcites →https://doi.org/10.1061/(asce)em.1943-7889.0002145openalex-extracted
A Hierarchical Bayesian Similarity Measure for Geotechnical Site Retrieval
inferredcites →https://doi.org/10.1061/(asce)gt.1943-5606.0002583openalex-extracted
Development of Subsurface Geological Cross-Section from Limited Site-Specific Boreholes and Prior Geological Knowledge Using Iterative Convolution XGBoost
inferredcites →https://doi.org/10.1061/jsfeaq.0000001openalex-extracted
Penetration Tests and Bearing Capacity of Cohesionless Soils
inferredcites →https://doi.org/10.1109/tit.2005.862083openalex-extracted
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
inferredcites →https://doi.org/10.1130/abs/2020am-359454openalex-extracted
APPLYING MACHINE LEARNING METHODS TO PREDICT GEOLOGY USING SOIL SAMPLE GEOCHEMISTRY
inferredcites →https://doi.org/10.1139/cgj-2019-0131openalex-extracted
Cone penetration test (CPT)-based subsurface soil classification and zonation in two-dimensional vertical cross section using Bayesian compressive sampling
inferredcites →https://doi.org/10.1613/jair.953openalex-extracted
SMOTE: Synthetic Minority Over-sampling Technique
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.