2 citations · 2 across the 3 of their papers we have counts for
3 papers
Geometry-Aware Bayesian Quantification via Compositional Data Analysis
Alejandro Moreo, Pablo González, Juan José del Coz
Accurately estimating the unknown target label distribution is the critical first step for adapting to label shift. This task, widely known as quantification or class prevalence es…
Quantification using Permutation-Invariant Networks based on Histograms
Olaya Pérez-Mon, Alejandro Moreo, Juan José del Coz +1
Quantification, also known as class prevalence estimation, is the supervised learning task in which a model is trained to predict the prevalence of each class in a given bag of exa…
Kernel Density Estimation for Multiclass Quantification
Alejandro Moreo, Pablo González, Juan José del Coz
Several disciplines, like the social sciences, epidemiology, sentiment analysis, or market research, are interested in knowing the distribution of the classes in a population rathe…