tag:joss.theoj.org,2005:/papers/reviewed_by/@kevinrueJournal of Open Source Software2021-05-25T11:21:00ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/25452021-05-25T11:21:00Z2021-05-26T00:02:39ZVisualizations with statistical details: The 'ggstatsplot' approachaccepted0.7.12021-03-30 08:46:28 UTC612021-05-25 11:21:00 UTC620213167IndrajeetPatilCenter for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany0000-0003-1995-653110.21105/joss.03167https://doi.org/10.5281/zenodo.4681705Rhttps://joss.theoj.org/papers/10.21105/joss.03167.pdfparametric statistics, nonparametric statistics, robust statistics, Bayesian statistics, ggplot2, ggplot2-extensiontag:joss.theoj.org,2005:Paper/11152019-08-06T01:06:41Z2021-02-15T11:31:55Zivis: dimensionality reduction in very large datasets using Siamese Networksacceptedv1.2.32019-07-18 19:04:26 UTC402019-08-06 01:06:41 UTC420191596BenjaminSzubertBering LimitedIgnatDrozdovBering Limited0000-0001-6727-468810.21105/joss.01596https://doi.org/10.5281/zenodo.3360634R, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01596.pdfdimensionality reduction, unsupervised learning, neural network