No-parametric comparison of convolutional neural networks and transformers to classify COVID-19
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Updated
Nov 17, 2022 - Python
No-parametric comparison of convolutional neural networks and transformers to classify COVID-19
Statistical tests for detecting shared privacy concerns of bystander and visually impaired people.
Continuation to Data Analysis using more mathematical approach.
Easy statistical testing on the web
An R package implementing MARS algorithm and methods as given in Friedman's paper
Compute Friedman and Nemenyi Statistical Tests for Multilabel Classification
A set of half automated MATLAB scripts for performing analysis of thermal data (TGA, DSC) and obtaining a kinetic triplet for every reaction stage
An implementation of Multivariate Adaptive Regression Splines
📊 Statistical analyzers to provide more robust comparisons between Machine Learning techniques.
writR: is an R package for automated inferential testing (for group differences) and reporting based on parametric assumptions, which are tested automatically for test selection.
An implementation of multivariate projection pursuit regression and univariate classification
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