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Takao Nakagawa

3 papers hereh-index 353 citations10 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.SE2
  • cs.LG1
same name
  • Takao Nakagawa — 7 papers
  • Takao Nakagawa — 6 papers, h 2
  • Takao Nakagawa — 5 papers, h 8
  • Takao Nakagawa — 4 papers, h 6
  • Takao Nakagawa — 3 papers
  • Takao Nakagawa — 3 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

most citedAn Experience Report on Regression-Free Repair of Deep Neural Network Model

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.SE2025

Development of Automated Software Design Document Review Methods Using Large Language Models

Takasaburo Fukuda, Takao Nakagawa, Keisuke Miyazaki +1

In this study, we explored an approach to automate the review process of software design documents by using LLM. We first analyzed the review methods of design documents and organi…

cs.SE2025★ 3 cited

An Experience Report on Regression-Free Repair of Deep Neural Network Model

Takao Nakagawa, Susumu Tokumoto, Shogo Tokui +1

Systems based on Deep Neural Networks (DNNs) are increasingly being used in industry. In the process of system operation, DNNs need to be updated in order to improve their performa…

cs.LG2022

NeuRecover: Regression-Controlled Repair of Deep Neural Networks with Training History

Shogo Tokui, Susumu Tokumoto, Akihito Yoshii +4

Systematic techniques to improve quality of deep neural networks (DNNs) are critical given the increasing demand for practical applications including safety-critical ones. The key…

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