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Hartono Pitoyo  ハルトノ ピトヨ

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ハルトノ ピトヨ  ハルトノ ピトヨ

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Researcher Number 90339747
Other IDs
Affiliation (Current) 2025: 中京大学, 工学部, 教授
Affiliation (based on the past Project Information) *help 2019 – 2023: 中京大学, 工学部, 教授
2013 – 2015: 中京大学, 工学部, 教授
2008: 公立はこだて未来大学, システム情報科学部, 准教授
2007: 公立はこだて未来大学, システム情報学部, 准教授
2003 – 2004: 早稲田大学, Wabot-House研究所, 講師
Review Section/Research Field
Principal Investigator
Perception information processing/Intelligent robotics
Except Principal Investigator
Basic Section 61010:Perceptual information processing-related / Basic Section 90030:Cognitive science-related / Experimental psychology / Learning support system / Communication/Network engineering
Keywords
Principal Investigator
遺伝的アルゴリズム / ニューラルネット / 戦略獲得
Except Principal Investigator
文化差 / 調性知覚 / 脳機能計測 / 音楽認知 / ニューラルネットワーク / ソフトセンサ / 触覚センシング … More / ソフトロボット / ソフトアクチュエータ / 触覚通信 / 触覚感覚 / 触覚提示 / 触覚計測 / 高速相変態 / 形状記憶合金 / 神経基盤と脳計算 / バイミュージカル / MEG / 計算モデリング / 音楽知覚 / 脳機能イメージングと深層学習 / Deep neural network / 文化比較 / 脳機能計測と計算論的モデル / 発達差 / LSTM network / deep neural network / スキーマ獲得 / 計算論的モデル / 調性スキーマ / ニューラルネットワークモデル / 調性的体制化 / 制限付RBF / bi-musical / コネクショニストモデル / 学習過程 / 計算論的モデリング / learning analytics / LMS / 制限付きRBF / SOM / ログ解析 / Learning Analytics / eラーニング / 学習支援システム / セルオートマトン / 同期 / 相互作用 / カーネル法 / 階層化白色度 / データストリーム / 符号化 / ダイナミックス / ネットワーク / 次世代情報基盤 Less
  • Research Projects

    (6 results)
  • Research Products

    (36 results)
  • Co-Researchers

    (10 People)
  •  A study of the fast phase transformation of Shape-memory alloy wires and its application to tactile display and bidirectional tactile communication

    • Principal Investigator
      Sawada Hideyuki
    • Project Period (FY)
      2020 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61010:Perceptual information processing-related
    • Research Institution
      Waseda University
  •  How do cultural differences in music cognition arise? Its neural basis, computer processing, and developmental changes

    • Principal Investigator
      Matsunaga Rie
    • Project Period (FY)
      2019 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 90030:Cognitive science-related
    • Research Institution
      Kanagawa University
  •  How do our brains handle two different musical schemas?: a computational modeling and neuroimaging approaches

    • Principal Investigator
      Matsunaga Rie
    • Project Period (FY)
      2014 – 2015
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Experimental psychology
    • Research Institution
      Shizuoka Institute of Science and Technology
  •  Development of learning support system for big data in e-learning

    • Principal Investigator
      Ogawqa Kayo
    • Project Period (FY)
      2013 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Learning support system
    • Research Institution
      Japan Women's University
  •  次世代情報基盤モデルためのネットワークのダイナミクスでの情報符号化法の開発

    • Principal Investigator
      高橋 信行
    • Project Period (FY)
      2007 – 2008
    • Research Category
      Grant-in-Aid for Exploratory Research
    • Research Field
      Communication/Network engineering
    • Research Institution
      Future University-Hakodate
  •  屋外環境下で行動可能な自律型ロボットの戦略獲得に関する研究Principal Investigator

    • Principal Investigator
      ハルトノ ピトヨ
    • Project Period (FY)
      2003 – 2004
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Perception information processing/Intelligent robotics
    • Research Institution
      Waseda University

All 2024 2023 2022 2021 2020 2019 2016 2015 2014 2008 Other

All Journal Article Presentation

  • [Journal Article] Context-flexible cartography with Siamese topological neural networks2024

    • Author(s)
      Pitoyo Hartono
    • Journal Title

      Discover Artificial Intelligence

      Volume: 4 (3) Issue: 1 Pages: 1-15

    • DOI

      10.1007/s44163-023-00098-w

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20H04214
  • [Journal Article] Human-Guided Transfer Learning for Autonomous Robot2023

    • Author(s)
      Minako Oriyama, Pitoyo Hartono, Hideyuki Sawada
    • Journal Title

      ICONIP 2023 Communications in Computer and Information Science

      Volume: 1961 Pages: 186-198

    • DOI

      10.1007/978-981-99-8126-7_15

    • ISBN
      9789819981250, 9789819981267
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20H04214
  • [Journal Article] Using inverse learning for controlling bionic robotic fish with SMA actuators2022

    • Author(s)
      Ning Kewei、Hartono Pitoyo、Sawada Hideyuki
    • Journal Title

      MRS Advances

      Volume: 7 Issue: 30 Pages: 649-655

    • DOI

      10.1557/s43580-022-00328-w

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04434, KAKENHI-PROJECT-19K21950, KAKENHI-PLANNED-18H05473, KAKENHI-PROJECT-20H04214
  • [Journal Article] Cooperative Multi-Robot Hierarchical Reinforcement Learning2022

    • Author(s)
      Setyawan Gembong Edhi、Hartono Pitoyo、Sawada Hideyuki
    • Journal Title

      International Journal of Advanced Computer Science and Applications

      Volume: 13 Issue: 9 Pages: 35-44

    • DOI

      10.14569/ijacsa.2022.0130904

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04434, KAKENHI-PLANNED-18H05473, KAKENHI-PROJECT-20H04214
  • [Journal Article] Infusing common-sensical prior knowledge into topological representations of learning robots2022

    • Author(s)
      Ogawa Kana、Hartono Pitoyo
    • Journal Title

      Artificial Life and Robotics

      Volume: 27 Issue: 3 Pages: 576-585

    • DOI

      10.1007/s10015-022-00776-5

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04434
  • [Journal Article] An In-Depth Analysis of Cooperative Multi-Robot Hierarchical Reinforcement Learning2022

    • Author(s)
      Gembong Edhi Setyawan, Pitoyo Hartono, Hideyuki Sawada
    • Journal Title

      Proc. of International Conference on Sustainable Information Engineering and Technology

      Volume: SIET2022 Pages: 119-126

    • DOI

      10.1145/3568231.3568258

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20H04214
  • [Journal Article] Collaborative General Purpose Convolutional Neural Networks2021

    • Author(s)
      Ogawa Kana、Hartono Pitoyo
    • Journal Title

      Journal of Signal Processing

      Volume: 25 Issue: 2 Pages: 53-61

    • DOI

      10.2299/jsp.25.53

    • NAID

      130007993256

    • ISSN
      1342-6230, 1880-1013
    • Year and Date
      2021-03-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04434
  • [Journal Article] The Development of Sensitivity to Tonality Structure of Music2020

    • Author(s)
      Matsunaga Rie、Hartono Pitoyo、Yokosawa Koichi、Abe Jun-ichi
    • Journal Title

      Music Perception: An Interdisciplinary Journal

      Volume: 37 Issue: 3 Pages: 225-239

    • DOI

      10.1525/mp.2020.37.3.225

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04434, KAKENHI-PROJECT-16K21452, KAKENHI-PROJECT-20H04496
  • [Journal Article] Mixing Autoencoder With Classifier: Conceptual Data Visualization2020

    • Author(s)
      Hartono Pitoyo
    • Journal Title

      IEEE Access

      Volume: 8 Pages: 105301-105310

    • DOI

      10.1109/access.2020.2999155

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04434
  • [Journal Article] Road Grade and Vehicle Mass Estimation for Heavy-duty Vehicles Using Feedforward Neural Networks2019

    • Author(s)
      Torabi Sina、Wahde Mattias、Hartono Pitoyo
    • Journal Title

      Proc. The 4th International Conference on Intelligent Transportation Engineering 2019

      Volume: NA Pages: 316-321

    • DOI

      10.1109/icite.2019.8880261

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04434
  • [Journal Article] Semantically Explainable Fuzzy Classifier2019

    • Author(s)
      Sabol Patrik、Sincak Peter、Magyar Jan、Hartono Pitoyo
    • Journal Title

      International Journal of Pattern Recognition and Artificial Intelligence

      Volume: 33 Issue: 12 Pages: 2051006-2051006

    • DOI

      10.1142/s0218001420510064

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04434
  • [Journal Article] Learning-Regulated Context Relevant Topographical Map2015

    • Author(s)
      P. Hartono, P. Hollensen, T. Trappenberg
    • Journal Title

      IEEE Trans. on Neural Networks and Learning Systems

      Volume: 未定 Issue: 10 Pages: 2323-2335

    • DOI

      10.1109/tnnls.2014.2379275

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-26590182
  • [Journal Article] Learning-Regulated Context Relevant Topographical Map2015

    • Author(s)
      Hartono,P., Hollensen, R., & Trappenberg, T.
    • Journal Title

      IEEE Trans. on Neural Networks and Learning Systems

      Volume: 26 Pages: 2323-2335

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26590182
  • [Journal Article] The acquisition process of musical tonal schema: Implications from connectionist modeling2015

    • Author(s)
      Matsunaga, R., Hartono, P., and Abe, J.
    • Journal Title

      Frontiers in Psychology (Cognitive Science)

      Volume: 6 Pages: 1-13

    • DOI

      10.3389/fpsyg.2015.01348

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-26590182
  • [Journal Article] 学習履歴データを活用した学習者の特性抽出手法の検討2014

    • Author(s)
      石川晶子,小川賀代,ピトヨ ハルトノ
    • Journal Title

      教育システム情報学会誌

      Volume: 31 Pages: 185-196

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25330419
  • [Journal Article] Visualizing learning management system data using context-relevant self-organizingmap2014

    • Author(s)
      Pitoyo Hartono and Kayo Ogawa
    • Journal Title

      Proc. of IEEE International Conference on Systems, Man, and Cybemetics

      Volume: - Pages: 3502-3506

    • DOI

      10.1109/smc.2014.6974469

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-25330419
  • [Journal Article] LMS蓄積データを用いた学習特徴の抽出における変数の粒度の検討2014

    • Author(s)
      小川賀代,ピトヨ ハルトノ
    • Journal Title

      情報処理学会研究報告教育学習支援情報システム(CLE)

      Volume: 2014-CLE-13-4 Pages: 1-5

    • Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-25330419
  • [Journal Article] Class-Proximity SOM and its Applications in Classification2008

    • Author(s)
      P. Hartono, A. Saito
    • Journal Title

      Proc. IEEE Int. Conf. on Systems, Man and Cybernetics (SMC) 2008

      Pages: 2150-2155

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19656096
  • [Journal Article] Ensemble of Linear Experts as an Interpretable Piecewise Linear Classifier2008

    • Author(s)
      P. Hartono
    • Journal Title

      Innovative Computing, Information and Control Express Letters 2

      Pages: 295-303

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19656096
  • [Presentation] Using Inverse Learning for Controlling Bionic Soft Robot Fish with SMA Actuators2022

    • Author(s)
      Kewei Ning, Pitoyo Hartono, Hideyuki Sawada
    • Organizer
      2022 Virtual Materials Research Society (MRS) Spring Meeting & Exhibit
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04214
  • [Presentation] 子どもは文化特有の調性感覚をどう身につけるか:その理論的考察2022

    • Author(s)
      松永理恵・Pitoyo Hartono・阿部純一
    • Organizer
      日本音楽知覚認知学会2022年度秋季研究発表会
    • Data Source
      KAKENHI-PROJECT-19H04434
  • [Presentation] 認知的スキーマの獲得過程:幼児はなぜ明示的な教師信号なしに少ない経験量で帰納的学習ができるのか?--- 深層神経回路網による“音階スキーマ”学習のシミュレーション結果からの考察2022

    • Author(s)
      阿部純一・松永理恵・Pitoyo Hartono
    • Organizer
      北海道心理学会・東北心理学会 第13回合同大会
    • Data Source
      KAKENHI-PROJECT-19H04434
  • [Presentation] 子どもは何を足場として音階スキーマを獲得していくか:Deep Neural Networkを用いた計算機実験の報告2021

    • Author(s)
      松永理恵・Pitoyo Hartono・阿部純一
    • Organizer
      日本音楽知覚認知学会2021年度春季研究発表会
    • Data Source
      KAKENHI-PROJECT-19H04434
  • [Presentation] An In-Depth Analysis of Cooperative Multi-Robot Hierarchical Reinforcement Learning2021

    • Author(s)
      G.E. Setyawan, P. Hartono, H. Sawada
    • Organizer
      The 7th International Conference on Sustainable Information Engineering and Technology
    • Data Source
      KAKENHI-PROJECT-19H04434
  • [Presentation] 脳内調性処理における発達初期の音楽聴取経験の影響:日本人バイミュージカルを用いたMEG実験2019

    • Author(s)
      松永理恵・竹下悠哉・横澤宏一・Pitoyo Hartono・阿部純一
    • Organizer
      日本音楽知覚認知学会令和元年秋季研究発表会
    • Data Source
      KAKENHI-PROJECT-19H04434
  • [Presentation] 学習履歴データの属性を考慮した可視化による学習予測の検討2016

    • Author(s)
      小川賀代、ピトヨ ハルトノ
    • Organizer
      教育システム情報学会
    • Place of Presentation
      帝京大学宇都宮キャンパス(栃木県宇都宮市)
    • Year and Date
      2016-08-29
    • Data Source
      KAKENHI-PROJECT-25330419
  • [Presentation] HyperSOMによる可視化を用いた学習支援への適応2015

    • Author(s)
      秋本尚美,小川賀代,ピトヨ ハルトノ
    • Organizer
      平成26年度電子情報通信学会東京支部学生会研究発表会
    • Place of Presentation
      明治大学(東京都・千代田区)
    • Year and Date
      2015-02-28
    • Data Source
      KAKENHI-PROJECT-25330419
  • [Presentation] 私たちの脳は調性スキーマをどのように学習するか:コネクショニストモデル研究からの示唆2015

    • Author(s)
      松永理恵・ハルトノピトヨ・阿部純一
    • Organizer
      日本音楽知覚認知学会平成27年度春季研究発表会
    • Place of Presentation
      札幌
    • Year and Date
      2015-06-04
    • Data Source
      KAKENHI-PROJECT-26590182
  • [Presentation] Visualizing learning management system data using context-relevant self-organizingmap

    • Author(s)
      Pitoyo Hartono and Kayo Ogawa
    • Organizer
      IEEE International Conference on Systems, Man, and Cybemetics
    • Place of Presentation
      San Diego, USA
    • Year and Date
      2014-10-05 – 2014-10-08
    • Data Source
      KAKENHI-PROJECT-25330419
  • [Presentation] Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network

    • Author(s)
      P. Hartono, P. Hollensen, T. Trappenberg
    • Organizer
      International Conference on Artificial Neural Networks (ICANN 21014)
    • Place of Presentation
      Hamburg(Germany)
    • Year and Date
      2014-09-15 – 2014-09-19
    • Data Source
      KAKENHI-PROJECT-26590182
  • [Presentation] 学習履歴データを活用した学習傾向の把握と可視化の検討

    • Author(s)
      小川賀代 ,田中友里,Hartono Pitoyo
    • Organizer
      日本教育工学会 第29回全国大会
    • Place of Presentation
      秋田大学(手形キャンパス)
    • Data Source
      KAKENHI-PROJECT-25330419
  • [Presentation] Dimension Reduction for Visualizing High Dimensional Data

    • Author(s)
      P. Hartono
    • Organizer
      The Fourth Indonesian-Japanese Conference on Knowledge Creation and Intelligent Computing 2015
    • Place of Presentation
      Surabaya (Indonesia)
    • Year and Date
      2015-03-24 – 2015-03-26
    • Data Source
      KAKENHI-PROJECT-26590182
  • [Presentation] LMS蓄積データを用いた学習特徴の抽出における変数の粒度の検討

    • Author(s)
      小川賀代,ピトヨ ハルトノ
    • Organizer
      第13回教育学習支援情報システム(CLE)研究発表会
    • Place of Presentation
      京都大学(京都府・京都市)
    • Year and Date
      2014-05-16 – 2014-05-17
    • Data Source
      KAKENHI-PROJECT-25330419
  • [Presentation] クラスター分析を用いた学習特徴の抽出

    • Author(s)
      田中友里,小川賀代, Hartono Pitoyo
    • Organizer
      電子情報通信学会 東京支部 学生会 研究発表会
    • Place of Presentation
      東海大学(高輪キャンパス)
    • Data Source
      KAKENHI-PROJECT-25330419
  • [Presentation] Visualizing Learning Management System Data using Context-Relevant Self-Organizing Map

    • Author(s)
      P. Hartono, K. Ogawa
    • Organizer
      International Conference on Systems, Man, and Cybernetics
    • Place of Presentation
      San Diego (USA)
    • Year and Date
      2014-10-09 – 2014-10-12
    • Data Source
      KAKENHI-PROJECT-26590182
  • [Presentation] 私たちの脳は調性スキーマをどのように学習するか: コネクショニストモデル研究からの示唆

    • Author(s)
      松永理恵・ハルトノ ピトヨ・阿部純一
    • Organizer
      日本音楽知覚認知学会 2015年度春季研究発表会
    • Place of Presentation
      札幌
    • Year and Date
      2015-06-06 – 2015-06-07
    • Data Source
      KAKENHI-PROJECT-26590182
  • 1.  Matsunaga Rie (70399781)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 8 results
  • 2.  ABE Jun-ichi (40091409)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 8 results
  • 3.  YOKOSAWA Koichi (20416978)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 2 results
  • 4.  Ogawqa Kayo (20318794)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  Sawada Hideyuki (00308206)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 3 results
  • 6.  高橋 信行 (70206829)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  小西 修 (00135386)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  由良 文孝 (90404805)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  重宗 宏毅 (40822466)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 10.  清水 賀代
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 9 results

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