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Taro Sekiyama

16 papers hereh-index 10312 citations34 works total

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

author position
  • first author8
  • middle author6
  • last author2

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.PL10
  • cs.AI2
  • cs.CV2
  • cs.DC1
  • cs.LG1
same name
  • Taro Sekiyama — 7 papers, h 2

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

activity
20172026
most citedDynamic Type Inference for Gradual Hindley--Milner Typing

20 citations · 57 across the 16 of their papers we have counts for

collaborators
Showing 2017Show all

3 papers · 1 filter

cs.CV2017

Lung Nodule Classification by the Combination of Fusion Classifier and Cascaded Convolutional Neural Networks

Masaharu Sakamoto, Hiroki Nakano, Kun Zhao +1

Lung nodule classification is a class imbalanced problem, as nodules are found with much lower frequency than non-nodules. In the class imbalanced problem, conventional classifiers…

cs.PL2017★ 7 cited

Towards Proof Synthesis Guided by Neural Machine Translation for Intuitionistic Propositional Logic

Taro Sekiyama, Akifumi Imanishi, Kohei Suenaga

Inspired by the recent evolution of deep neural networks (DNNs) in machine learning, we explore their application to PL-related topics. This paper is the first step towards this go…

cs.CV2017★ 2 cited

Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images

Masaharu Sakamoto, Hiroki Nakano, Kun Zhao +1

Lung nodule classification is a class imbalanced problem because nodules are found with much lower frequency than non-nodules. In the class imbalanced problem, conventional classif…

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