Misc Functions of the Department of Statistics, ProbabilityTheory Group (Formerly: E1071), TU Wien
By David Meyer, Evgenia Dimitriadou, Kurt Hornik, A. Weingessel, Friedrich Leisch. 2015
805 citations recorded by the source corpus.
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Citations in the corpus
- Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing (2019, methodology): “In this study, the SVM regression was performed using package ‘e1071′ (Meyer et al., 2015) in R language.”
- A comparative study of machine learning classifiers for modeling travel mode choice (2017, unknown): “…modeling packages for this study are ’nnet’ (Venables and Ripley, 2002), ’klaR’189 (Weihs et al., 2005), ’ipred’ (Peters and Hothorn, 2015), ’e1071’ (Meyer et al., 2015), ’randomForest’ (Liaw190 and Wiener, 2002), and ’gbm’ (Ridgeway, 2015).191 2.3 Model comparison192 The performance of…”
- Automatic Detection of Fake News (2017, methodology): “The machine learning classification was conducted with R (R Core Team, 2016) and the caret (Kuhn et al., 2016) and e1071 packages (Meyer et al., 2015).”
- pdp: An R Package for Constructing Partial Dependence Plots (2017, unknown): “…Bagged decision trees adabag (Alfaro et al., 2013) "bagging" ipred (Peters and Hothorn, 2017) "classbagg" , "regbagg" (Wright, 2017) "ranger" Support vector machine e1071 (Meyer et al., 2017) "svm" kernlab (Karatzoglou et al., 2004) "ksvm" Table 1: Models specifically supported by the pdp package.”
- Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models (2020, methodology): “The SVM model is produced with the R package e1071 (Meyer et al., 2017).”
- Unveiling differential adverse event profiles in vaccines via LLM text embeddings and ontology semantic analysis (2025, unknown): “LASSO logistic regression and Support Vector Machine (SVM) with a linear kernel were employed for this task, utilizing the glmnet [23] and e1071 [24] R packages, respectively.”