Work

QuAcc: Using Quantification to Predict Classifier Accuracy Under Prior Probability Shift

Year: 2025

Type: article

Source: Intelligenza Artificiale

DOI: 10.1177/17248035251338347

Authors: Lorenzo Volpi, Alejandro Moreo, Fabrizio Sebastiani

Institutions: Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", National Research Council

Language: English

Topic: Machine Learning and Data Classification

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: European Commission

Awards: G3726186802, G3819771052, G3820048078, G5954106980

OpenAlex ID: W4410132809

FWCI: 0.416

Cites: 27

Cited by: 1

Related to: 10