173 citations · 191 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 18 cited
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Sérgio Jesus, José Pombal, Duarte Alves +5
Evaluating new techniques on realistic datasets plays a crucial role in the development of ML research and its broader adoption by practitioners. In recent years, there has been a…
cs.MS2016
UBL: an R package for Utility-based Learning
Paula Branco, Rita P. Ribeiro, Luis Torgo
This document describes the R package UBL that allows the use of several methods for handling utility-based learning problems. Classification and regression problems that assume no…
cs.LG2015★ 173 cited
A Survey of Predictive Modelling under Imbalanced Distributions
Paula Branco, Luis Torgo, Rita Ribeiro
Many real world data mining applications involve obtaining predictive models using data sets with strongly imbalanced distributions of the target variable. Frequently, the least co…