Matthew Wiener's scientific contributions
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It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
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Publication (1)
Citations
... Note that, in order to ensure the widest dissemination of the findings in this research, all the source code for the developed regression noise filters remains open source in the CRAN repository 2 for easy use by the research community. Additionally, the regression algorithms employed are available through well-known R packages such as FNN (Beygelzimer et al., 2023), randomForest (Liaw & Wiener, 2002) and xgboost (Chen et al., 2023). Moreover, to facilitate the replication and extension of this work, all datasets used are publicly accessible. ...
