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M. Sato

1 paper hereh-index 216 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1
same name
  • M. Sato — 100 papers, h 57
  • M. Sato — 17 papers, h 14
  • M. Sato — 14 papers, h 15
  • M. Sato — 7 papers, h 16
  • M. Sato — 7 papers, h 20
  • M. Sato — 6 papers, h 15

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDeep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified

13 citations · 13 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2020★ 13 cited

Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified

Takuma Shibahara, Chisa Wada, Yasuho Yamashita +5

Differentiating the intrinsic subtypes of breast cancer is crucial for deciding the best treatment strategy. Deep learning can predict the subtypes from genetic information more ac…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.