利用增广技术处理金融领域中不平衡的任务：一种两级集成方法

IF 3 2区计算机科学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

EPJ Data Science Pub Date : 2023-07-10 DOI:10.1140/epjds/s13688-023-00402-9

Golshid Ranjbaran, Diego Reforgiato Recupero, Gianfranco Lombardo, S. Consoli

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach

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Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach

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来源期刊

EPJ Data Science MATHEMATICS, INTERDISCIPLINARY APPLICATIONS -

CiteScore

6.10

自引率

5.60%

发文量

审稿时长

13 weeks

期刊介绍： EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.