Takagi Takuya 高木拓也

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高木拓也タカギタクヤ

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Researcher Number	20855449
Other IDs
Affiliation (Current)	2025: 富士通株式会社(富士通研究所), その他部局等, 研究員
Affiliation (based on the past Project Information) *help	2021 – 2023: 富士通株式会社(富士通研究所), その他部局等, 研究員
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related
Keywords	Principal Investigator 完全オンライン索引 / 圧縮アルゴリズム / 接尾辞木 / オンライン索引 / 全文索引 / 説明可能性 / 圧縮索引 / 羅生門集合 / 文字列情報学

Research Projects
(1 results)
Research Products
(9 results)

Study of index construction and compression algorithms in fully-online settingPrincipal Investigator
- Principal Investigator
  
  高木拓也
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Fujitsu Limited (Fujitsu Research)

All 2023 2022 2021

All Journal Article Presentation

[Journal Article] Rule Mining for Correcting Classification Models2023
- Author(s)
  Suzuki Hirofumi、Iwashita Hiroaki、Takagi Takuya、Fujishige Yuta、Hara Satoshi
- Journal Title
  
  2023 IEEE International Conference on Data Mining (ICDM)
  
  Volume: 1 Pages: 1331-1336
- DOI
  10.1109/icdm58522.2023.00170
- Data Source
  KAKENHI-PROJECT-21K17817
[Journal Article] Mathematical Optimization for Explainable Machine Learning—Counterfactual Explanation by Mixed-Integer Linear Optimization—2023
- Author(s)
  金森憲太朗、高木拓也
- Journal Title
  
  Bulletin of the Japan Society for Industrial and Applied Mathematics
  
  Volume: 33 Issue: 4 Pages: 207-212
- DOI
  10.11540/bjsiam.33.4_207
- ISSN
  2432-1982
- Year and Date
  2023-12-25
- Language
  Japanese
- Data Source
  KAKENHI-PROJECT-21K17817
[Journal Article] Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization2021
- Author(s)
  Kanamori Kentaro、Takagi Takuya、Kobayashi Ken、Arimura Hiroki
- Journal Title
  
  Transactions of the Japanese Society for Artificial Intelligence
  
  Volume: 36 Issue: 6 Pages: C-L44_1-12
- DOI
  10.1527/tjsai.36-6_C-L44
- NAID
  130008110420
- ISSN
  1346-0714, 1346-8030
- Year and Date
  2021-11-01
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20J20654, KAKENHI-PROJECT-21K17817, KAKENHI-PLANNED-20H05963, KAKENHI-PROJECT-20H00595
[Presentation] Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees2022
- Author(s)
  Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike
- Organizer
  AISTATS 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17817
[Presentation] Exploring the Whole Rashomon Set of Sparse Decision Trees2022
- Author(s)
  Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo Seltzer, Cynthia Rudin
- Organizer
  NeurIPS 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17817
[Presentation] Explainable and Local Correction of Classification Models Using Decision Trees2022
- Author(s)
  Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara
- Organizer
  AAAI 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17817
[Presentation] A Multivariate Causal Discovery based on Post-Nonlinear Model2022
- Author(s)
  Kento Uemura, Takuya Takagi, Kambayashi Takayuki, Hiroyuki Yoshida, Shohei Shimizu
- Organizer
  CLeaR 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17817
[Presentation] 機械学習モデルの列挙と羅生門集合の構築2022
- Author(s)
  高木拓也
- Organizer
  人工知能学会第123回人工知能基本問題研究会
- Invited
- Data Source
  KAKENHI-PROJECT-21K17817
[Presentation] Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization2021
- Author(s)
  Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura
- Organizer
  AAAI 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17817

Takagi Takuya 高木 拓也

高木 拓也 タカギ タクヤ

Research Projects

Research Products

Study of index construction and compression algorithms in fully-online settingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Rule Mining for Correcting Classification Models2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Mathematical Optimization for Explainable Machine Learning—Counterfactual Explanation by Mixed-Integer Linear Optimization—2023

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization2021

Author(s)

Journal Title

DOI

NAID

ISSN

Year and Date

Language

Data Source

[Presentation] Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees2022

Author(s)

Organizer

Data Source

[Presentation] Exploring the Whole Rashomon Set of Sparse Decision Trees2022

Author(s)

Organizer

Data Source

[Presentation] Explainable and Local Correction of Classification Models Using Decision Trees2022

Author(s)

Organizer

Data Source

[Presentation] A Multivariate Causal Discovery based on Post-Nonlinear Model2022

Author(s)

Organizer

Data Source

[Presentation] 機械学習モデルの列挙と羅生門集合の構築2022

Author(s)

Organizer

Data Source

[Presentation] Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization2021

Author(s)

Organizer

Data Source

Takagi Takuya 高木拓也

高木拓也タカギタクヤ