Highly customizable, ambiguity-aware dotplots for visual sequence analyses
-
Updated
Nov 26, 2020 - Python
Highly customizable, ambiguity-aware dotplots for visual sequence analyses
An interactive web application for comparing entities using the pairwise comparison method
Source code and data for the EDM 2022 paper
Datasets on Website Aesthetics for Machine Learning
A Web Application to collect data from pairwise image comparisons via crowdsourcing
This repository contains the C# program(s) and some of the output files it generated plus some Excel files used to plot the results.
Built a content-based recommendation/recommender system specific to electronic music on Spotify using K-Nearest Neighbors (KNN), cosine similarity and sigmoid function kernel to generate similarity and distance-based recommendations. Video of the project presentation: https://lnkd.in/gq5w-4Wm
This script computes two indices of effect size for pairwise comparisons based on the Mann Whitney U statistic.
This project analyzes A/B testing data to evaluate the effectiveness of three marketing campaigns. By conducting pairwise comparisons using statistical tests with a 99% confidence level, it identifies the best-performing campaign, providing actionable insights to optimize marketing strategies and boost overall sales performance.
Add a description, image, and links to the pairwise-comparisons topic page so that developers can more easily learn about it.
To associate your repository with the pairwise-comparisons topic, visit your repo's landing page and select "manage topics."