The Status of IMBAlance (SIMBA) as a Robust and Generalizable Measure for Data Imbalance
Pivin-Bachler, Julie;
The Status of IMBAlance (SIMBA) as a Robust and Generalizable Measure for Data Imbalance
This repository contains the code and all data used for the paper "SIMBA: a robust and generalizable measure of data imbalance" (in press). All information for content and usage can be found in the README.md file. Please make sure to unzip the folders 'data' and 'table' and to create a 'results' folder for the code to work properly.
Machine Learning, Machine Learning/classification
Machine Learning, Machine Learning/classification
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average