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SUZUKI Ikumi  鈴木 郁美

ORCIDConnect your ORCID iD *help
Researcher Number 20637730
Other IDs
Affiliation (Current) 2025: 山形大学, 理学部, 教授
Affiliation (based on the past Project Information) *help 2022 – 2023: 岩手県立大学, ソフトウェア情報学部, 准教授
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
Basic Section 61030:Intelligent informatics-related / Statistical science / Intelligent informatics
Except Principal Investigator
Basic Section 60030:Statistical science-related / Multimedia database / Intelligent informatics
Keywords
Principal Investigator
近傍法 / ハブの軽減 / ハブネス / word2vec / 単語分散表現 / 機械学習 / 大規模高次元データ / Spatial centrality / Semi-supervised learning / Hubness … More / 空間中心性 / 高次元 / 半教師あり学習 / k近傍法 / 高次元データ / データ中心化 / ローカライズドセンタリング / ハブネスの軽減 / 空間中心性の消去 / 協調フィルタリング / カーネル法 / センタリング … More
Except Principal Investigator
近傍検索 / 高次元データ / 変化検知 / ハブネス / テキストマイニング / 類似度 / データマイニング / 距離尺度 / 類似度尺度 / ハブ / リンク解析 Less
  • Research Projects

    (6 results)
  • Research Products

    (25 results)
  • Co-Researchers

    (2 People)
  •  「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
      Iwate Prefectural University
      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 2024 2023 2022 2021 2020 2018 2017 2016 2015 2014 2013 2012 Other

All Journal Article Presentation Patent

  • [Journal Article] Investigating Word Vectors for the Negation of Verbs2024

    • Author(s)
      Tomoya Sasaki, Yuto Kikuchi, Kazuo Hara, Ikumi Suzuki
    • Journal Title

      SN Computer Science

      Volume: 5 Issue: 2 Pages: 222-222

    • DOI

      10.1007/s42979-023-02554-x

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K11779, KAKENHI-PROJECT-21K12033
  • [Journal Article] Semantic Entanglement on Verb Negation2021

    • Author(s)
      Yuto Kikuchi, Kazuo Hara, Ikumi Suzuki
    • Journal Title

      Proceedings of the 10th International Conference on Data Science, Technology and Applications

      Volume: - Pages: 71-78

    • DOI

      10.5220/0010560000710078

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21K12033
  • [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

    • 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 Issue: 1 Pages: 67-76

    • 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] 変化検出装置及び変化検出方法2023

    • Inventor(s)
      原一夫,鈴木郁美,村上英治
    • Industrial Property Rights Holder
      原一夫,鈴木郁美,村上英治
    • Industrial Property Rights Type
      特許
    • Industrial Property Number
      2023-046097
    • Filing Date
      2023
    • Data Source
      KAKENHI-PROJECT-21K11779
  • [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] 機械学習を用いた炭素化合物の相転移温度の予測2022

    • Author(s)
      佐々木 智哉, 原 一夫, 鈴木 郁美, 米竹 孝一郎, 高橋 辰宏
    • Organizer
      第45回ケモインフォマティクス討論会
    • Data Source
      KAKENHI-PROJECT-21K12033
  • [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: 4 results

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