most citedOne-Step Abductive Multi-Target Learning with Diverse Noisy Samples and Its Application to Tumour Segmentation for Breast Cancer

18 citations · 36 across the 2 of their papers we have counts for

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1 paper

cs.LG2021★ 18 cited

One-Step Abductive Multi-Target Learning with Diverse Noisy Samples and Its Application to Tumour Segmentation for Breast Cancer

Yongquan Yang, Fengling Li, Yani Wei +4

Recent studies have demonstrated the effectiveness of the combination of machine learning and logical reasoning, including data-driven logical reasoning, knowledge driven machine l…