QuaPy is an open-source framework for performing quantification (aka supervised
prevalence estimation), written in Python. Quantification is the task of training quantifiers via …

Algorithms and models are increasingly deployed to inform decisions about people,
inevitably affecting their lives. As a consequence, those in charge of develo** these …

This open access book provides an introduction and an overview of learning to quantify (aka
“quantification”), ie the task of training estimators of class proportions in unlabeled data by …

Sentiment quantification is the task of training, by means of supervised learning, estimators
of the relative frequency (also called “prevalence”) of sentiment-related classes (such as …

Abstract Natural Language Processing (NLP) can offer important tools for unlocking relevant
information from clinical narratives. Although Transformer-based models can achieve …

Quantification represents the problem of predicting class distributions in a dataset. It also
represents a growing research field in supervised machine learning, for which a large …

Quantification, variously called supervised prevalence estimation or learning to quantify, is
the supervised learning task of generating predictors of the relative frequencies (aka …

Quantification is the supervised learning task that consists of training predictors of the class
prevalence values of sets of unlabelled data, and is of special interest when the labelled …

Abstract The International Classification of Diseases (ICD) has been adopted worldwide in
the healthcare domain, eg to summarize the key information in clinical documents. Since …

Quantification is a research area that develops methods that estimate the class attribute
prevalence in an independent sample. Like the other fields in Machine Learning …