QuaPy: A Python-Based Framework for Quantification-Reference-Cited by-同舟云学术

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QuaPy: A Python-Based Framework for Quantification

Published:2021-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Information & Knowledge Management
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Author:

Moreo Alejandro¹,Esuli Andrea¹,Sebastiani Fabrizio¹

Affiliation:

1. Consiglio Nazionale delle Ricerche, Pisa, Italy

Funder

AI4Media project, funded by the European Commission, under the H2020 Programme ICT-48-2020

SoBigData++ project, funded by the European Commission, under the H2020 Programme INFRAIA-2019-1

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459637.3482015

Reference32 articles.

1. Quantification-oriented learning based on reliable classifiers

2. Quantification via Probability Estimators

3. Estimating class priors in domain adaptation for word sense disambiguation

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MC-SQ and MC-MQ: Ensembles for Multi-Class Quantification;IEEE Transactions on Knowledge and Data Engineering;2024-08

2. QuantificationLib: A Python library for quantification and prevalence estimation;SoftwareX;2024-05

3. Report on the 3rd International Workshop onLearning to Quantify (LQ 2023);ACM SIGKDD Explorations Newsletter;2024-03-26

4. Binary quantification and dataset shift: an experimental investigation;Data Mining and Knowledge Discovery;2024-03-18

5. Multi-Label Quantification;ACM Transactions on Knowledge Discovery from Data;2023-08-10

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