QuantificationLib: A Python library for quantification and prevalence estimation-Reference-Cited by-同舟云学术

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QuantificationLib: A Python library for quantification and prevalence estimation

Published:2024-05 Issue: Volume:26 Page:101728
ISSN:2352-7110
Container-title:SoftwareX
language:en
Short-container-title:SoftwareX

Author:

Castaño Alberto,Alonso Jaime,González Pablo^ORCID,Pérez Pablo,del Coz Juan José

Publisher

Elsevier BV

Reference30 articles.

1. Why is quantification an interesting learning problem?;González;Progr Artif Intell,2017

2. A review on quantification learning;González;ACM Comput Surv,2017

3. Learning to quantify;Esuli,2023

4. Moreo A, Esuli A, Sebastiani F. QuaPy: A Python-based framework for quantification. In: Proceedings of the 30th ACM international conference on information & knowledge management. 2021, p. 4534–43.

5. Bunse M. qunfold: Composable Quantification and Unfolding Methods in Python. In: Proceedings of the 3rd international workshop on learning to quantify (LQ 2023), co-located at ECML-pKDD. 2023, p. 1–7.

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