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

Research article (EPJ Data Science, 2023) · cited 13× · AI/ML
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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 is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-augmentation-techniques-for-tasks-with-unbalancedness-within-the-financial-domain-a-two-level-ensemble-approa
MLA “Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-augmentation-techniques-for-tasks-with-unbalancedness-within-the-financial-domain-a-two-level-ensemble-approa.
BibTeX @misc{4ortxyz_leveraging-augmentation-techniques-for-tasks-with-unbalancedness-within-the-financial-domain-a-two-level-ensemble-approa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-augmentation-techniques-for-tasks-with-unbalancedness-within-the-financial-domain-a-two-level-ensemble-approa}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach — https://4ort.xyz/entity/leveraging-augmentation-techniques-for-tasks-with-unbalancedness-within-the-financial-domain-a-two-level-ensemble-approa (retrieved 2026-05-24)

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