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20202026
most citedA Survey on Ensemble Learning under the Era of Deep Learning

372 citations · 448 across the 11 of their papers we have counts for

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cs.AI2023★ 9 cited

Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels: An Application Study on Tumour Segmentation for Breast Cancer

Yongquan Yang, Hong Bu

The logical assessment formula (LAF) is a new theory proposed for evaluations with inaccurate ground-truth labels (IAGTLs) to assess the predictive models for artificial intelligen…

cs.AI2021★ 12 cited

Logical Assessment Formula and Its Principles for Evaluations with Inaccurate Ground-Truth Labels

Yongquan Yang

Evaluations with accurate ground-truth labels (AGTLs) have been widely employed to assess predictive models for artificial intelligence applications. However, in some specific fiel…