SUZUKI Ikumi 鈴木郁美

Researcher Number	20637730
Other IDs
Affiliation (Current)	2022: 岩手県立大学, ソフトウェア情報学部, 准教授
Affiliation (based on the past Project Information) *help	2019 – 2021: 長崎大学, 情報データ科学部, 准教授 2019: 長崎大学, 情報系新学部創設準備室, 准教授 2016 – 2018: 山形大学, 大学院理工学研究科, 助教 2015: 山形大学, 理工学研究科, 助教 2014: 国立遺伝学研究所, 生命情報研究センター, 特任研究員 2013: 国立遺伝学研究所, 生命情報研究センター, 博士研究員
Review Section/Research Field	Principal Investigator Intelligent informatics / Statistical science / Basic Section 61030:Intelligent informatics-related Except Principal Investigator Intelligent informatics / Multimedia database / Basic Section 60030:Statistical science-related
Keywords	Principal Investigator ハブネス / ハブの軽減 / 近傍法 / センタリング / カーネル法 / 協調フィルタリング / 空間中心性の消去 / ハブネスの軽減 / ローカライズドセンタリング / データ中心化 … More / 高次元データ / ｋ近傍法 / 半教師あり学習 / 高次元 / 空間中心性 / Hubness / Semi-supervised learning / Spatial centrality / 大規模高次元データ / 機械学習 / 単語分散表現 … More Except Principal Investigator 高次元データ / 近傍検索 / リンク解析 / ハブ / 類似度尺度 / 距離尺度 / データマイニング / 類似度 / テキストマイニング / ハブネス Less

「ハブネス」を活用して行う高次元データの解析
- Principal Investigator
  
  原一夫
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Yamagata University
単語分散表現の頻度エンコード問題の解消Principal Investigator
- Principal Investigator
  
  鈴木郁美
- Project Period (FY)
  2021 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Nagasaki University
Elucidation of hub phenomenon occurring in large-scale data and its application to bio-medical data
- Principal Investigator
  
  Hara Kazuo
- Project Period (FY)
  2016 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Multimedia database
- Research Institution
  Yamagata University
  National Institute of Genetics
Hubness AnalysisPrincipal Investigator
- Principal Investigator
  
  SUZUKI Ikumi
- Project Period (FY)
  2016 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Statistical science
- Research Institution
  Nagasaki University
  Yamagata University
Similarity Measures for Nearest Neighbor Search and Classification Methods in High Dimensional and Large Number of DataPrincipal Investigator
- Principal Investigator
  
  Suzuki Ikumi
- Project Period (FY)
  2013 – 2015
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Yamagata University
  National Institute of Genetics
Studies on link analytic similarity measures for high-dimensional/structured data
- Principal Investigator
  
  Shimbo Masashi
- Project Period (FY)
  2012 – 2015
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Nara Institute of Science and Technology

All 2020 2018 2017 2016 2015 2014 2013 2012 Other

All Journal Article Presentation Patent

[Journal Article] Centered kNN Graph for Semi-Supervised Learning2017
- Author(s)
  Suzuki Ikumi、Hara Kazuo
- Journal Title
  
  SIGIR '17 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
  
  Volume: SIGIR '17 Proceedings Pages: 857-860
- DOI
  10.1145/3077136.3080662
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16H02821
[Journal Article] Reducing Hub Translation Candidates Improves the Accuracy of Bilingual Lexicon Extraction from Comparable Corpora2016
- Author(s)
  重藤優太郎, 鈴木郁美, 原一夫, 新保仁, 松本裕治
- Journal Title
  
  Transactions of the Japanese Society for Artificial Intelligence
  
  Volume: 31 Issue: 2 Pages: E-F43_1-12
- DOI
  10.1527/tjsai.e-f43
  10.1527/tjsai.E-F43
- NAID
  130005126835
- ISSN
  1346-0714, 1346-8030
- Language
  Japanese
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-24300057
[Journal Article] Community Detection from Signed Networks2013
- Author(s)
  杉原貴彦，劉欣，村田剛志
- Journal Title
  
  Transactions of the Japanese Society for Artificial Intelligence
  
  Volume: 28(1) Issue: 1 Pages: 297-310
- DOI
  10.1527/tjsai.28.67
- NAID
  130003362308
- ISSN
  1346-0714, 1346-8030
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22240007, KAKENHI-PROJECT-22300049, KAKENHI-PROJECT-24300057
[Journal Article] Computation of Contextual Word Similarity Exploiting Syntactic and Semantic Structural Co-occurrences2013
- Author(s)
  原一夫, 鈴木郁美, 新保仁, 松本裕治
- Journal Title
  
  Transactions of the Japanese Society for Artificial Intelligence
  
  Volume: 28 Issue: 4 Pages: 379-390
- DOI
  10.1527/tjsai.28.379
- NAID
  130003362340
- ISSN
  1346-0714, 1346-8030
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23240020, KAKENHI-PROJECT-24300057, KAKENHI-PROJECT-24500193, KAKENHI-PROJECT-25730142
[Patent] アイテム推薦システム及びアイテム推薦方法2015
- Inventor(s)
  原一夫，鈴木郁美
- Industrial Property Rights Holder
  大学共同利用機関法人情報・システム研究機構
- Industrial Property Rights Type
  特許
- Filing Date
  2015-07-24
- Data Source
  KAKENHI-PROJECT-25730142
[Presentation] Target Evaluation for Neural Language Model using Japanese Case Frame2020
- Author(s)
  Kazuhito Tamura, Ikumi Suzuki, Kazuo Hara
- Organizer
  The 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00066
[Presentation] 日本語格フレームを用いた言語モデルの評価2020
- Author(s)
  田村和仁，原一夫，鈴木郁美
- Organizer
  第34回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-16K00066
[Presentation] Elimination of Spatial Centrality; Hubness in High-Dimensional Problem and Its Reduction Method2018
- Author(s)
  Ikumi Suzuki
- Organizer
  Asia Pacific Society for Computing and Information Technology 2018 Annual Meeting
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00066
[Presentation] Centered kNN Graph for Semi-Supervised Learning2017
- Author(s)
  Ikumi Suzuki, Kazuo Hara
- Organizer
  SIGIR 2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00066
[Presentation] Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness2016
- Author(s)
  Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu and Milos Radovanovic
- Organizer
  In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI)
- Place of Presentation
  Hyatt Regency Phoenix(Phoenix, Arizona, USA)
- Year and Date
  2016-02-12
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25730142
[Presentation] Reducing Hubness for Kernel Regression2015
- Author(s)
  Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu and Milos Radovanovic
- Organizer
  In proceedings of the 8th International Conference on Similarity Search and Applications (SISAP)
- Place of Presentation
  University of Strathclyde(Glasgow, UK)
- Year and Date
  2015-10-12
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25730142
[Presentation] Reducing Hubness: A Cause of Vulnerability in Recommender Systems2015
- Author(s)
  Kazuo Hara, Ikumi Suzuki, Kei Kobayashi and Kenji Fukumizu
- Organizer
  In proceedings of the 38th Annual ACM SIGIR Conference (SIGIR)
- Place of Presentation
  the PUC Extension Center(Santiago, Chile)
- Year and Date
  2015-08-09
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25730142
[Presentation] The Effect of Data Centering for k-nearest neighbor2014
- Author(s)
  Ikumi Suzuki
- Organizer
  Workshop on Mathematical Approaches to Large-Dimensional Data Analysis
- Place of Presentation
  Tokyo, JAPAN
- Invited
- Data Source
  KAKENHI-PROJECT-25730142
[Presentation] Centering Similarity Measures to Reduce Hubs2013
- Author(s)
  Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens, Kenji Fukumizu
- Organizer
  The 2013 Conference on Empirical Methods on Natural Language Processing (EMNLP)
- Place of Presentation
  Seattle, USA
- Data Source
  KAKENHI-PROJECT-25730142
[Presentation] Centering Similarity Measures to Reduce Hubs2013
- Author(s)
  Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens, and Kenji Fukumizu
- Organizer
  Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Place of Presentation
  Seattle, WA, USA
- Data Source
  KAKENHI-PROJECT-24300057
[Presentation] Investigating the effectiveness of Laplacian-based kernels in hub reduction2012
- Author(s)
  Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens
- Organizer
  The 26 th AAAI Conference on Artificial Intelligence (AAAI-12)
- Place of Presentation
  Toronto, Ontario, Canada
- Year and Date
  2012-07-24
- Data Source
  KAKENHI-PROJECT-24300057
[Presentation] Walk-based computation of contextual word similarity2012
- Author(s)
  Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Yuji Matsumoto
- Organizer
  24th International Conference on Computational Linguistics (COLING 2012)
- Place of Presentation
  Mumbai, India
- Year and Date
  2012-12-14
- Data Source
  KAKENHI-PROJECT-24300057
[Presentation] Localized centering: Reducing hubness in large-sample data
- Author(s)
  Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Miloš Radovanović
- Organizer
  29th AAAI Conference on Artificial Intelligence
- Place of Presentation
  Austin, Texas, USA
- Year and Date
  2015-01-25 – 2015-01-30
- Data Source
  KAKENHI-PROJECT-24300057
[Presentation] Annotating Cohesive Statements of Anatomical Knowledge Toward Semi-automated Information Extraction
- Author(s)
  Kazuo Hara, Ikumi Suzuki, Kousaku Okubo and Isamu Muto
- Organizer
  The International Conference on Knowledge Discovery and Information Retrieval (KDIR)
- Place of Presentation
  Rome, Italy
- Year and Date
  2014-10-21 – 2014-10-24
- Data Source
  KAKENHI-PROJECT-25730142
[Presentation] Annotating cohesive statements of anatomical knowledge toward semi-automated information extraction
- Author(s)
  Kazuo Hara, Ikumi Suzuki, Kousaku Okubo, and Isamu Muto
- Organizer
  7th International Conference on Knowledge Discovery and Information Retrieval
- Place of Presentation
  Rome, Italy
- Year and Date
  2014-10-21 – 2014-10-24
- Data Source
  KAKENHI-PROJECT-24300057
[Presentation] Localized Centering: Reducing Hubness in Large-Sample Data
- Author(s)
  Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos; Radovanovic
- Organizer
  the 29th AAAI Conference on Artificial Intelligence (AAAI)
- Place of Presentation
  Austin Texas, USA
- Year and Date
  2015-01-25 – 2015-01-30
- Data Source
  KAKENHI-PROJECT-25730142

1. HARA Kazuo (30467691)

# of Collaborated Projects: 4 results

# of Collaborated Products: 9 results
2. Shimbo Masashi (90311589)

# of Collaborated Projects: 1 results

# of Collaborated Products: 7 results
3. 村田剛志

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
4. 松本裕治

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

SUZUKI Ikumi 鈴木 郁美

Research Projects

Research Products

Co-Researchers

「ハブネス」を活用して行う高次元データの解析

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

単語分散表現の頻度エンコード問題の解消Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Elucidation of hub phenomenon occurring in large-scale data and its application to bio-medical data

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Hubness AnalysisPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Similarity Measures for Nearest Neighbor Search and Classification Methods in High Dimensional and Large Number of DataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Studies on link analytic similarity measures for high-dimensional/structured data

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Centered kNN Graph for Semi-Supervised Learning2017

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Reducing Hub Translation Candidates Improves the Accuracy of Bilingual Lexicon Extraction from Comparable Corpora2016

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Journal Article] Community Detection from Signed Networks2013

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Journal Article] Computation of Contextual Word Similarity Exploiting Syntactic and Semantic Structural Co-occurrences2013

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Patent] アイテム推薦システム及びアイテム推薦方法2015

Inventor(s)

Industrial Property Rights Holder

Industrial Property Rights Type

Filing Date

Data Source

[Presentation] Target Evaluation for Neural Language Model using Japanese Case Frame2020

Author(s)

Organizer

Data Source

[Presentation] 日本語格フレームを用いた言語モデルの評価2020

SUZUKI Ikumi 鈴木郁美