Machida Fumio 町田文雄

Researcher Number	50842209
Other IDs
Affiliation (Current)	2025: 筑波大学, システム情報系, 准教授
Affiliation (based on the past Project Information) *help	2019 – 2023: 筑波大学, システム情報系, 准教授
Review Section/Research Field	Principal Investigator Basic Section 60050:Software-related / 1001:Information science, computer engineering, and related fields Except Principal Investigator Basic Section 60050:Software-related
Keywords	Principal Investigator 多様性 / 信頼性 / 機械学習システム / Nバージョン構成 / ニューロンカバレッジ / 多様化 / 確率モデル / Nバージョン機械学習システム / 自動運転車 / 自動運転 / 機械学習応用システム … More Except Principal Investigator … More アクセスパターン / ソーシャルネットワーク / クラウドコンピューティング / 生成的ロギング Less

機械学習システムを高信頼化するNバージョン構成手法の研究Principal Investigator
- Principal Investigator
  
  町田文雄
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60050:Software-related
- Research Institution
  University of Tsukuba
Establishment of Cloud System Design and Implementation Method Based on Generative Logging
- Principal Investigator
  
  Kato Kazuhiko
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60050:Software-related
- Research Institution
  University of Tsukuba
Reliability evaluation and design for machine learning application systems using diverse machine learning modelsPrincipal Investigator
- Principal Investigator
  
  Machida Fumio
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  1001:Information science, computer engineering, and related fields
- Research Institution
  University of Tsukuba

All 2024 2023 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] Using Diversities to Model the Reliability of Two-version Machine Learning Systems2024
- Author(s)
  Machida Fumio
- Journal Title
  
  IEEE Transactions on Emerging Topics in Computing
  
  Volume: ― Issue: 3 Pages: 1-15
- DOI
  10.1109/tetc.2023.3322563
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K17871
[Journal Article] Using Diversities to Model the Reliability of N-version Machine Learning System2021
- Author(s)
  Fumio Machida
- Journal Title
  
  TechArchive
  
  Volume: -
- DOI
  10.36227/techrxiv.16435656.v1
- Open Access
- Data Source
  KAKENHI-PROJECT-19K24337
[Journal Article] Analysis of optimal file placement for energy-efficient file-sharing cloud storage system2020
- Author(s)
  Fumio Machida, Koji Hasebe, Hirotake Abe, Kazuhiko Kato
- Journal Title
  
  IEEE Transactions on Sustainable Computing
  
  Volume: accepted Issue: 1 Pages: 75-86
- DOI
  10.1109/tsusc.2020.3037260
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H04163
[Presentation] Characterizing Reliability of Three-version Traffic Sign Classifier System through Diversity Metrics2023
- Author(s)
  Q. Wen and F. Machida
- Organizer
  The 34th IEEE International Symposium on Software Reliability Engineering (ISSRE)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17871
[Presentation] Enhancing the Reliability of Perception Systems using N-version Programming and Rejuvenation2023
- Author(s)
  J. Mendonca, F. Machida, and M. Volp
- Organizer
  DSN Workshop on Dependable and Secure Machine Learning (DSML)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17871
[Presentation] Reliability and Performance Evaluation of Two-input Machine Learning Systems2023
- Author(s)
  K. Wakigami, F. Machida, and P. Tuan
- Organizer
  The 28th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17871
[Presentation] Bayesian Network Reliability Modeling for Three-version Machine Learning Systems2023
- Author(s)
  Q. Wen and F. Machida
- Organizer
  The 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17871
[Presentation] Safety-aware Weighted Voting for N-Version Machine Learning Systems2023
- Author(s)
  L. Gao and F. Machida
- Organizer
  第21回ディペンダブルシステムワークショップ
- Data Source
  KAKENHI-PROJECT-22K17871
[Presentation] 複数カメラ画像を用いた3バージョン物体検出システムの信頼性評価2023
- Author(s)
  高橋満帆, 町田文雄
- Organizer
  日本信頼性学会の第36回秋季信頼性シンポジウム
- Data Source
  KAKENHI-PROJECT-22K17871
[Presentation] Reliability Models and Analysis for Triple-model with Triple-input Machine Learning Systems2022
- Author(s)
  Wen Qiang、Machida Fumio
- Organizer
  2022 IEEE Conference on Dependable and Secure Computing (DSC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17871
[Presentation] How Data Diversification Benefits the Reliability of Three-version Image Classification Systems2022
- Author(s)
  Takahashi Mitsuho、Machida Fumio、Wen Qiang
- Organizer
  2022 IEEE 27th Pacific Rim International Symposium on Dependable Computing (PRDC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K24337
[Presentation] Nバージョン機械学習分類システムによる分類結果の正確性と安全性評価2022
- Author(s)
  町田文雄
- Organizer
  日本信頼性学会第30回春季信頼性シンポジウム
- Data Source
  KAKENHI-PROJECT-22K17871
[Presentation] How Data Diversification Benefits the Reliability of Three-version Image Classification Systems2022
- Author(s)
  Takahashi Mitsuho、Machida Fumio、Wen Qiang
- Organizer
  2022 IEEE 27th Pacific Rim International Symposium on Dependable Computing (PRDC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17871
[Presentation] Reliability Models and Analysis for Triple-model with Triple-input Machine Learning Systems2022
- Author(s)
  Wen Qiang, Fumio Machida
- Organizer
  IEEE Conference on Dependable and Secure Computing (DSC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K24337
[Presentation] Nバージョン機械学習分類システムによる分類結果の正確性と安全性評価2022
- Author(s)
  町田文雄
- Organizer
  日本信頼性学会第30回春季信頼性シンポジウム
- Data Source
  KAKENHI-PROJECT-19K24337
[Presentation] Reliability Models and Analysis for Triple-model with Triple-input Machine Learning Systems2022
- Author(s)
  Wen Qiang、Machida Fumio
- Organizer
  2022 IEEE Conference on Dependable and Secure Computing (DSC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K24337
[Presentation] 2入力機械学習システムの信頼性と性能評価2022
- Author(s)
  脇上和也，町田文雄
- Organizer
  第20回ディペンダブルシステムワークショップ (DSW 2022)
- Data Source
  KAKENHI-PROJECT-22K17871
[Presentation] 2入力機械学習システムの信頼性と性能評価2022
- Author(s)
  脇上和也，町田文雄
- Organizer
  第20回ディペンダブルシステムワークショップ (DSW 2022)
- Data Source
  KAKENHI-PROJECT-19K24337
[Presentation] Nバージョン機械学習モデルによるシステム高信頼化のための入力データ多様化2021
- Author(s)
  高橋満帆, 町田文雄
- Organizer
  第19回ディペンダブルシステムワークショップ (DSW 2021)
- Data Source
  KAKENHI-PROJECT-19K24337
[Presentation] A Queueing Analysis of Multi-model Multi-input Machine Learning Systems2021
- Author(s)
  Yuta Makino, Tuan Phung-Duc, Fumio Machida
- Organizer
  Dependable and Secure Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K24337
[Presentation] マルコフ連鎖を用いた多モデル多入力型機械学習システムの性能評価2021
- Author(s)
  巻野侑大, Phung-Duc Tuan, 町田文雄
- Organizer
  2020年度待ち行列シンポジウム
- Data Source
  KAKENHI-PROJECT-19K24337
[Presentation] On the diversity of machine learning models for system reliability2019
- Author(s)
  Fumio Machida
- Organizer
  IEEE Pacific Rim Int'l Symp. on Dependable Computing (PRDC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K24337
[Presentation] Nバージョンモデルによる機械学習応用システムの高信頼化2019
- Author(s)
  町田文雄
- Organizer
  日本ソフトウェア科学会第17回ディペンダブルシステムワークショップ
- Invited
- Data Source
  KAKENHI-PROJECT-19K24337
[Presentation] N-version machine learning models for safety critical systems2019
- Author(s)
  Fumio Machida
- Organizer
  DSN Workshop on Dependable and Secure Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K24337
[Presentation] 多様な分類器を用いた機械学習応用システムの信頼性2019
- Author(s)
  町田文雄
- Organizer
  日本OR学会「4部合同研究会～確率モデルの新展開～」
- Invited
- Data Source
  KAKENHI-PROJECT-19K24337

1. Kato Kazuhiko (90224493)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
2. 阿部洋丈 (00456716)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
3. 岡瑞起 (10512105)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 長谷部浩二 (80470045)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results

Machida Fumio 町田 文雄

Research Projects

Research Products

Co-Researchers

機械学習システムを高信頼化するNバージョン構成手法の研究Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Establishment of Cloud System Design and Implementation Method Based on Generative Logging

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Reliability evaluation and design for machine learning application systems using diverse machine learning modelsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Using Diversities to Model the Reliability of Two-version Machine Learning Systems2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Using Diversities to Model the Reliability of N-version Machine Learning System2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Analysis of optimal file placement for energy-efficient file-sharing cloud storage system2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] Characterizing Reliability of Three-version Traffic Sign Classifier System through Diversity Metrics2023

Author(s)

Organizer

Data Source

[Presentation] Enhancing the Reliability of Perception Systems using N-version Programming and Rejuvenation2023

Author(s)

Organizer

Data Source

[Presentation] Reliability and Performance Evaluation of Two-input Machine Learning Systems2023

Author(s)

Organizer

Data Source

[Presentation] Bayesian Network Reliability Modeling for Three-version Machine Learning Systems2023

Author(s)

Organizer

Data Source

[Presentation] Safety-aware Weighted Voting for N-Version Machine Learning Systems2023

Author(s)

Organizer

Data Source

[Presentation] 複数カメラ画像を用いた3バージョン物体検出 システムの信頼性評価2023

Author(s)

Organizer

Data Source

[Presentation] Reliability Models and Analysis for Triple-model with Triple-input Machine Learning Systems2022

Author(s)

Organizer

Data Source

[Presentation] How Data Diversification Benefits the Reliability of Three-version Image Classification Systems2022

Author(s)

Organizer

Data Source

[Presentation] Nバージョン機械学習分類システムによる分類結果の正確性と安全性評価2022

Author(s)

Organizer

Data Source

[Presentation] How Data Diversification Benefits the Reliability of Three-version Image Classification Systems2022

Author(s)

Organizer

Data Source

[Presentation] Reliability Models and Analysis for Triple-model with Triple-input Machine Learning Systems2022

Author(s)

Organizer

Machida Fumio 町田文雄

[Presentation] 複数カメラ画像を用いた3バージョン物体検出システムの信頼性評価2023