References in zbMATH (referenced in 29 articles )

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  1. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  2. Manukyan, Artür; Ceyhan, Elvan: Classification of imbalanced data with a geometric digraph family (2016)
  3. Mark O’Connell, Catherine B. Hurley, Katarina Domijan: Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R (2016) arXiv
  4. Ribeiro, Rita P.; Pereira, Pedro; Gama, João: Sequential anomalies: a study in the railway industry (2016)
  5. Tutz, Gerhard; Koch, Dominik: Improved nearest neighbor classifiers by weighting and selection of predictors (2016)
  6. Ustun, Berk; Rudin, Cynthia: Supersparse linear integer models for optimized medical scoring systems (2016)
  7. Cichosz, Paweł: Data mining algorithms. Explained using R (2015)
  8. Kubrusly, Jessica; Lopes, Hélio: Constructive regression on implicit regions (2015)
  9. Krawczyk, Bartosz; Woźniak, Michał; Cyganek, Bogusław: Clustering-based ensembles for one-class classification (2014)
  10. Sánchez Lasheras, F.; García Nieto, P.J.; de Cos Juez, F.J.; Vilán Vilán, J.A.: Evolutionary support vector regression algorithm applied to the prediction of the thickness of the chromium layer in a hard chromium plating process (2014)
  11. Shah, Jasmit; Datta, Somnath; Datta, Susmita: A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics (2014)
  12. Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)
  13. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)
  14. Telaar, Anna; Repsilber, Dirk; Nürnberg, Gerd: Biomarker discovery: classification using pooled samples (2013)
  15. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2013)
  16. Cano, Emilio L.; Moguerza, Javier M.; Redchuk, Andrés: Six Sigma with R. Statistical engineering for process improvement. (2012)
  17. Chambaz, Antoine; Neuvial, Pierre; van der Laan, Mark J.: Estimation of a non-parametric variable importance measure of a continuous exposure (2012)
  18. Broderick, Tamara; Gramacy, Robert B.: Classification and categorical inputs with treed Gaussian process models (2011)
  19. Scherbart, Alexandra; Nattkemper, Tim W.: Looking inside self-organizing map ensembles with resampling and negative correlation learning (2011)
  20. Shaker, Amanda J.; Prendergast, Luke A.: Iterative application of dimension reduction methods (2011)

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