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Mamitsuka Hiroshi  馬見塚 拓

ORCIDConnect your ORCID iD *help
… Alternative Names

馬見塚 拓  マミツカ ヒロシ

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Researcher Number 00346107
Other IDs
Affiliation (Current) 2025: 京都大学, 化学研究所, 教授
Affiliation (based on the past Project Information) *help 2012 – 2025: 京都大学, 化学研究所, 教授
2003 – 2004: 京都大学, 化学研究所, 客員助教授
Review Section/Research Field
Principal Investigator
Basic Section 61030:Intelligent informatics-related / Biological Sciences / Medium-sized Section 61:Human informatics and related fields / Basic Section 51030:Pathophysiologic neuroscience-related / Intelligent informatics / Intelligent informatics
Except Principal Investigator
Broad Section E / Intelligent informatics
Keywords
Principal Investigator
機械学習 / プロテオーム / 生体生命情報学 / バイオインフォマティクス / 知識発見とデータマイニング / アルゴリズム / 高次元機械学習 / データマイニング / 協調行列分解 / 行列分解 / ゲノム / 人工知能 / グラフマイニング … More
Except Principal Investigator
… More 機能性高分子 / TERP / ポリマーリサイクル / 自己修復性材料 / 有機テルル / 多分岐ポリマー / 修復性材料 / 絡み合い / 制御ラジカル重合 / デンドリマー / 超分岐ポリマー / 頻出パターンマイニング / ゲノム情報処理 / シーケンスマイニング / 知識発見とデータマイニング Less
  • Research Projects

    (10 results)
  • Research Products

    (100 results)
  • Co-Researchers

    (20 People)
  •  グラフ深層学習による超高速物理シミュレーションの実現:システム生物学への展開Principal Investigator

    • Principal Investigator
      馬見塚 拓
    • Project Period (FY)
      2025 – 2029
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 61:Human informatics and related fields
    • Research Institution
      Kyoto University
  •  Latent data structure estimation through integrating diverse dataPrincipal Investigator

    • Principal Investigator
      馬見塚 拓
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      Kyoto University
  •  Development of new fabrication methods of polymer materials based on the structurally controlled hyperbranched polymers

    • Principal Investigator
      山子 茂
    • Project Period (FY)
      2021 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (S)
    • Review Section
      Broad Section E
    • Research Institution
      Kyoto University
  •  Developing machine learning based bioinformatics to decipher hidden biology of depression symptomsPrincipal Investigator

    • Principal Investigator
      馬見塚 拓
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for JSPS Fellows
    • Review Section
      Basic Section 51030:Pathophysiologic neuroscience-related
    • Research Institution
      Kyoto University
  •  Efficient estimation of data structure from multiple tensorsPrincipal Investigator

    • Principal Investigator
      Mamitsuka Hiroshi
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      Kyoto University
  •  Estimating the factor structure in multiple matricesPrincipal Investigator

    • Principal Investigator
      Mamitsuka Hiroshi
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Intelligent informatics
    • Research Institution
      Kyoto University
  •  Analysis of Repetition Structure in Huge Sequences

    • Principal Investigator
      Nakamura Atsuyoshi
    • Project Period (FY)
      2013 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Intelligent informatics
    • Research Institution
      Hokkaido University
  •  Estimating data structure embedded in semi-structured dataPrincipal Investigator

    • Principal Investigator
      Mamitsuka Hiroshi
    • Project Period (FY)
      2012 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Intelligent informatics
    • Research Institution
      Kyoto University
  •  生体内化合物の効率的な比較、探索、発見アルゴリズムの開発Principal Investigator

    • Principal Investigator
      馬見塚 拓
    • Project Period (FY)
      2004
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas
    • Review Section
      Biological Sciences
    • Research Institution
      Kyoto University
  •  生体高分子と結合する低分子化合物の効率的な比較、探索、発見アルゴリズムの開発Principal Investigator

    • Principal Investigator
      馬見塚 拓
    • Project Period (FY)
      2003
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas
    • Review Section
      Biological Sciences
    • Research Institution
      Kyoto University

All 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2004 Other

All Journal Article Presentation Book

  • [Book] Machine Learning for Marketing2019

    • Author(s)
      Hiroshi Mamitsuka
    • Total Pages
      237
    • Publisher
      Global Data Science Publishing
    • ISBN
      9784991044526
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Book] Textbook of Machine Learning and Data Mining: with Bioinformatics Applications2018

    • Author(s)
      Hiroshi Mamitsuka
    • Total Pages
      388
    • Publisher
      Global Data Science Publishing
    • ISBN
      9784991044502
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Book] Data Mining for Systems Biology2018

    • Author(s)
      Hiroshi Mamitsuka
    • Total Pages
      243
    • Publisher
      Springer
    • ISBN
      9781493985609
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Book] Data Mining for Systems Biology: Methods and Protocols2013

    • Author(s)
      Mamitsuka, H., DeLisi, C., and Kanehisa, M.
    • Total Pages
      279
    • Publisher
      Springer
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Journal Article] CoPolDB: a copolymerization database for radical polymerization2024

    • Author(s)
      Takahashi Kei-ichiro、Mamitsuka Hiroshi、Tosaka Masatoshi、Zhu Nanyi、Yamago Shigeru
    • Journal Title

      Polymer Chemistry

      Volume: 15 Issue: 10 Pages: 965-971

    • DOI

      10.1039/d3py01372c

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21H05027
  • [Journal Article] Graph Network-Based Simulation of Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers2024

    • Author(s)
      Yoshikawa Chiaki、Nguyen Duc Anh、Nakaji-Hirabayashi Tadashi、Takigawa Ichigaku、Mamitsuka Hiroshi
    • Journal Title

      ACS Biomaterials Science and Engineering

      Volume: 10 Issue: 4 Pages: 2165-2176

    • DOI

      10.1021/acsbiomaterials.3c01888

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19KK0368, KAKENHI-PROJECT-21K12041, KAKENHI-PROJECT-21H05027, KAKENHI-PROJECT-23K23401, KAKENHI-PROJECT-23K25205
  • [Journal Article] Central-Smoothing Hypergraph Neural Networks for Predicting Drug?Drug Interactions2023

    • Author(s)
      Nguyen Duc Anh、Nguyen Canh Hao、Mamitsuka Hiroshi
    • Journal Title

      IEEE Transactions on Neural Networks and Learning Systems

      Volume: 0 Issue: 8 Pages: 1-6

    • DOI

      10.1109/tnnls.2023.3261860

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K12150, KAKENHI-PROJECT-19H04169
  • [Journal Article] DeepMHCI: an anchor position-aware deep interaction model for accurate MHC-I peptide binding affinity prediction2023

    • Author(s)
      Qu Wei、You Ronghui、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Bioinformatics

      Volume: 39 Issue: 9

    • DOI

      10.1093/bioinformatics/btad551

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K24901, KAKENHI-PROJECT-21H05027
  • [Journal Article] Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning2023

    • Author(s)
      Wang Xinyi、Sun Lu、Nguyen Canh Hao、Mamitsuka Hiroshi
    • Journal Title

      Proceedings of the 26th European Conference on Artificial Intelligence (ECAI 2023)

      Volume: - Pages: 2560-2567

    • DOI

      10.3233/faia230561

    • ISBN
      9781643684369, 9781643684376
    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K24901, KAKENHI-PROJECT-21H05027
  • [Journal Article] DIVERSE: Bayesian Data IntegratiVE Learning for Precise Drug ResponSE Prediction2022

    • Author(s)
      Paltun Betul Guvenc、Kaski Samuel、Mamitsuka Hiroshi
    • Journal Title

      IEEE/ACM Transactions on Computational Biology and Bioinformatics

      Volume: 19 Issue: 4 Pages: 2197-2207

    • DOI

      10.1109/tcbb.2021.3065535

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug?drug interactions2022

    • Author(s)
      Nguyen Duc Anh、Nguyen Canh Hao、Petschner Peter、Mamitsuka Hiroshi
    • Journal Title

      Bioinformatics

      Volume: 38 Issue: Supplement_1 Pages: i333-i341

    • DOI

      10.1093/bioinformatics/btac250

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K12150, KAKENHI-PROJECT-21H05027, KAKENHI-PROJECT-20F20809, KAKENHI-PROJECT-19H04169
  • [Journal Article] DeepMHCII: a novel binding core-aware deep interaction model for accurate MHC-II peptide binding affinity prediction2022

    • Author(s)
      You Ronghui、Qu Wei、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Bioinformatics

      Volume: 38 Issue: Supplement_1 Pages: i220-i228

    • DOI

      10.1093/bioinformatics/btac225

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H05027, KAKENHI-PROJECT-19H04169
  • [Journal Article] Sc2Mol: a scaffold-based two-step molecule generator with variational autoencoder and transformer2022

    • Author(s)
      Liao Zhirui、Xie Lei、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Bioinformatics

      Volume: 39 Issue: 1

    • DOI

      10.1093/bioinformatics/btac814

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169, KAKENHI-PROJECT-23K24901, KAKENHI-PROJECT-21H05027
  • [Journal Article] Machine learning approaches for drug combination therapies2021

    • Author(s)
      G?ven??Paltun Bet?l、Kaski Samuel、Mamitsuka Hiroshi
    • Journal Title

      Briefings in Bioinformatics

      Volume: 22 Issue: 6

    • DOI

      10.1093/bib/bbab293

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] Reshaped tensor nuclear norms for higher order tensor completion2021

    • Author(s)
      Wimalawarne Kishan、Mamitsuka Hiroshi
    • Journal Title

      Machine Learning

      Volume: 110 Issue: 3 Pages: 507-531

    • DOI

      10.1007/s10994-020-05927-y

    • NAID

      120007002690

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] Eukaryotic virus composition can predict the efficiency of carbon export in the global ocean2021

    • Author(s)
      Kaneko Hiroto、Blanc-Mathieu Romain、Endo Hisashi、Chaffron Samuel、Delmont Tom O.、Gaia Morgan、Henry Nicolas、Hern?ndez-Vel?zquez Rodrigo、Nguyen Canh Hao、Mamitsuka Hiroshi、Forterre Patrick、Jaillon Olivier、de Vargas Colomban、Sullivan Matthew B.、Suttle Curtis A.、Guidi Lionel、Ogata Hiroyuki
    • Journal Title

      iScience

      Volume: 24 Issue: 1 Pages: 102002-102002

    • DOI

      10.1016/j.isci.2020.102002

    • NAID

      120006951684

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K15895, KAKENHI-INTERNATIONAL-16K21723, KAKENHI-PLANNED-16H06437, KAKENHI-ORGANIZER-16H06429, KAKENHI-PROJECT-19H05667, KAKENHI-PROJECT-18H02279, KAKENHI-PROJECT-19H04169
  • [Journal Article] Crop loss identification at field parcel scale using satellite remote sensing and machine learning2021

    • Author(s)
      Hiremath Santosh、Wittke Samantha、Palosuo Taru、Kaivosoja Jere、Tao Fulu、Proll Maximilian、Puttonen Eetu、Peltonen-Sainio Pirjo、Marttinen Pekka、Mamitsuka Hiroshi
    • Journal Title

      PLOS ONE

      Volume: 16 Issue: 12 Pages: e0251952-e0251952

    • DOI

      10.1371/journal.pone.0251952

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] HPODNets: deep graph convolutional networks for predicting human protein?phenotype associations2021

    • Author(s)
      Liu Lizhi、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Bioinformatics

      Volume: 38 Issue: 3 Pages: 799-808

    • DOI

      10.1093/bioinformatics/btab729

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H05027, KAKENHI-PROJECT-19H04169
  • [Journal Article] Drug3D-DTI: Improved Drug-target Interaction Prediction by Incorporating Spatial Information of Small Molecules2021

    • Author(s)
      Liao Zhirui、Huang Xiaodi、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2021)

      Volume: - Pages: 340-347

    • DOI

      10.1109/bibm52615.2021.9669707

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] XGSEA: CROSS-species gene set enrichment analysis via domain adaptation2021

    • Author(s)
      Cai Menglan、Hao Nguyen Canh、Mamitsuka Hiroshi、Li Limin
    • Journal Title

      Briefings in Bioinformatics

      Volume: 22 Issue: 5

    • DOI

      10.1093/bib/bbaa406

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction2021

    • Author(s)
      You Ronghui、Yao Shuwei、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Bioinformatics

      Volume: 37 Issue: Supplement_1 Pages: i262-i271

    • DOI

      10.1093/bioinformatics/btab270

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels2021

    • Author(s)
      Nguyen Dai Hai、Nguyen Canh Hao、Mamitsuka Hiroshi
    • Journal Title

      Machine Learning

      Volume: 110 Issue: 7 Pages: 1587-1607

    • DOI

      10.1007/s10994-021-05991-y

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11434, KAKENHI-PROJECT-19H04169
  • [Journal Article] Machine Learning for Metabolic Identification2021

    • Author(s)
      Nguyen Dai Hai、Nguyen Canh Hao、Mamitsuka Hiroshi
    • Journal Title

      Creative Complex Systems

      Volume: - Pages: 329-350

    • DOI

      10.1007/978-981-16-4457-3_20

    • ISBN
      9789811644566, 9789811644573
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] HPOFiller: identifying missing protein?phenotype associations by graph convolutional network2021

    • Author(s)
      Liu Lizhi、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Bioinformatics

      Volume: 37 Issue: 19 Pages: 3328-3336

    • DOI

      10.1093/bioinformatics/btab224

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] Learning on Hypergraphs with Sparsity2020

    • Author(s)
      Nguyen Hao Canh、Mamitsuka Hiroshi
    • Journal Title

      IEEE Transactions on Pattern Analysis and Machine Intelligence

      Volume: 1 Pages: 1-1

    • DOI

      10.1109/tpami.2020.2974746

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11434, KAKENHI-PROJECT-19H04169
  • [Journal Article] Scaled Coupled Norms and Coupled Higher-Order Tensor Completion2020

    • Author(s)
      Wimalawarne Kishan、Yamada Makoto、Mamitsuka Hiroshi
    • Journal Title

      Neural Computation

      Volume: 32 Issue: 2 Pages: 447-484

    • DOI

      10.1162/neco_a_01254

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16H02868, KAKENHI-PROJECT-19H04169
  • [Journal Article] Scalable Probabilistic Matrix Factorization with Graph-Based Priors2020

    • Author(s)
      Strahl Jonathan、Peltonen Jaakko、Mamitsuka Hirsohi、Kaski Samuel
    • Journal Title

      Proceedings of the AAAI Conference on Artificial Intelligence

      Volume: 34 Issue: 04 Pages: 5851-5858

    • DOI

      10.1609/aaai.v34i04.6043

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] HPOLabeler: improving prediction of human protein?phenotype associations by learning to rank2020

    • Author(s)
      Liu Lizhi、Huang Xiaodi、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Bioinformatics

      Volume: 36 Issue: 14 Pages: 4180-4188

    • DOI

      10.1093/bioinformatics/btaa284

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] BERTMeSH: deep contextual representation learning for large-scale high-performance MeSH indexing with full text2020

    • Author(s)
      You Ronghui、Liu Yuxuan、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Bioinformatics

      Volume: 37 Issue: 5 Pages: 684-692

    • DOI

      10.1093/bioinformatics/btaa837

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String2020

    • Author(s)
      Nakamura Atsuyoshi、Takigawa Ichigaku、Mamitsuka Hiroshi
    • Journal Title

      Proceedings of the AAAI Conference on Artificial Intelligence

      Volume: 34 Issue: 04 Pages: 5240-5247

    • DOI

      10.1609/aaai.v34i04.5969

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] Scalable Probabilistic Matrix Factorization with Graph-Based Priors.2020

    • Author(s)
      Strahl, J., Peltonen, J., Mamitsuka, H. and Kaski, S.
    • Journal Title

      Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020)

      Volume: -

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification.2019

    • Author(s)
      You, R., Dai, S., Zhang, Z., Mamitsuka, H. and Zhu, S.
    • Journal Title

      Proceedings of the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019)

      Volume: - Pages: 5820-5830

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] Modelling G×E with historical weather information improves genomic prediction in new environments2019

    • Author(s)
      Gillberg Jussi、Marttinen Pekka、Mamitsuka Hiroshi、Kaski Samuel
    • Journal Title

      Bioinformatics

      Volume: 35 Issue: 20 Pages: 4045-4052

    • DOI

      10.1093/bioinformatics/btz197

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra2019

    • Author(s)
      Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
    • Journal Title

      Bioinformatics

      Volume: 35 Issue: 14 Pages: 164-172

    • DOI

      10.1093/bioinformatics/btz319

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19J14714, KAKENHI-PROJECT-19H04169
  • [Journal Article] NetGO: improving large-scale protein function prediction with massive network information2019

    • Author(s)
      You Ronghui、Yao Shuwei、Xiong Yi、Huang Xiaodi、Sun Fengzhu、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Nucleic Acids Research

      Volume: 47 Issue: W1 Pages: W379-W387

    • DOI

      10.1093/nar/gkz388

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] A survey on adverse drug reaction studies: data, tasks and machine learning methods2019

    • Author(s)
      Nguyen Duc Anh、Nguyen Canh Hao、Mamitsuka Hiroshi
    • Journal Title

      Briefings in Bioinformatics

      Volume: 1 Issue: 1 Pages: 1-1

    • DOI

      10.1093/bib/bbz140

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11434, KAKENHI-PROJECT-19H04169
  • [Journal Article] Fast and Robust Multi-View Multi-Task Learning via Group Sparsity2019

    • Author(s)
      Sun Lu、Nguyen Canh Hao、Mamitsuka Hiroshi
    • Journal Title

      Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)

      Volume: - Pages: 3499-3505

    • DOI

      10.24963/ijcai.2019/485

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16H02868, KAKENHI-PROJECT-19H04169
  • [Journal Article] HPOAnnotator: improving large-scale prediction of HPO annotations by low-rank approximation with HPO semantic similarities and multiple PPI networks2019

    • Author(s)
      Gao Junning、Liu Lizhi、Yao Shuwei、Huang Xiaodi、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      BMC Medical Genomics

      Volume: 12 Issue: S10 Pages: 187-187

    • DOI

      10.1186/s12920-019-0625-1

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning2019

    • Author(s)
      Sun Lu、Nguyen Canh Hao、Mamitsuka Hiroshi
    • Journal Title

      Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)

      Volume: - Pages: 3506-3512

    • DOI

      10.24963/ijcai.2019/486

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16H02868, KAKENHI-PROJECT-19H04169
  • [Journal Article] FullMeSH: improving large-scale MeSH indexing with full text2019

    • Author(s)
      Dai Suyang、You Ronghui、Lu Zhiyong、Huang Xiaodi、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Bioinformatics

      Volume: 36 Issue: 5 Pages: 1533-1541

    • DOI

      10.1093/bioinformatics/btz756

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04169
  • [Journal Article] Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches2019

    • Author(s)
      Guvenq Paltun Betel、Mamitsuka Hiroshi、Kaski Samuel
    • Journal Title

      Briefings in Bioinformatics

      Volume: - Issue: 1 Pages: 346-359

    • DOI

      10.1093/bib/bbz153

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868, KAKENHI-PROJECT-19H04169
  • [Journal Article] GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank2018

    • Author(s)
      You Ronghui、Zhang Zihan、Xiong Yi、Sun Fengzhu、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Bioinformatics

      Volume: 34 Issue: 14 Pages: 2465-2473

    • DOI

      10.1093/bioinformatics/bty130

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] MeSHLabeler and DeepMeSH: Recent Progress in Large-Scale MeSH Indexing2018

    • Author(s)
      Peng Shengwen、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Methods in Molecular Biology

      Volume: 1807 Pages: 203-209

    • DOI

      10.1007/978-1-4939-8561-6_15

    • NAID

      120006552926

    • ISBN
      9781493985609, 9781493985616
    • Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] SiBIC: A Tool for Generating a Network of Biclusters Captured by Maximal Frequent Itemset Mining2018

    • Author(s)
      Takahashi Kei-ichiro、duVerle David A.、Yotsukura Sohiya、Takigawa Ichigaku、Mamitsuka Hiroshi
    • Journal Title

      Methods in Molecular Biology

      Volume: 1807 Pages: 95-111

    • DOI

      10.1007/978-1-4939-8561-6_8

    • NAID

      120006552927

    • ISBN
      9781493985609, 9781493985616
    • Open Access
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra2018

    • Author(s)
      Nguyen Dai Hai、Nguyen Canh Hao、Mamitsuka Hiroshi
    • Journal Title

      Bioinformatics

      Volume: 34 Issue: 13 Pages: i323-i332

    • DOI

      10.1093/bioinformatics/bty252

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11434, KAKENHI-PROJECT-16H02868
  • [Journal Article] Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms.2018

    • Author(s)
      Wimalawarme, K. and Mamitsuka, H.
    • Journal Title

      Proceedings of the Thirty-Second Annual Conference on Neural Information Processing Systems (NeurIPS 2018)

      Volume: - Pages: 6902-6910

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] Factor Analysis on a Graph2018

    • Author(s)
      Karasuyama, M. and Mamitsuka, H.
    • Journal Title

      Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018) (JMLR Workshop and Conference Proceedings (PMLR))

      Volume: 84 Pages: 1117-1126

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] DrugE-Rank: Predicting Drug-Target Interactions by Learning to Rank2018

    • Author(s)
      Deng Jieyao、Yuan Qingjun、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Methods in Molecular Biology

      Volume: 1807 Pages: 195-202

    • DOI

      10.1007/978-1-4939-8561-6_14

    • NAID

      120006552925

    • ISBN
      9781493985609, 9781493985616
    • Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms2018

    • Author(s)
      Wimalawarne Kishan, Mamitsuka Hiroshi
    • Journal Title

      Proceedings of the Thirty-Second Annual Conference on Neural Information Processing Systems (NeurIPS 2018)

      Volume: - Pages: 6902-6910

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] Factor Analysis on a Graph.2018

    • Author(s)
      Karasuyama, M. and Mamitsuka, H.
    • Journal Title

      Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018)

      Volume: - Pages: 1117-1126

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data2018

    • Author(s)
      Yamada Makoto、Tang Jiliang、Lugo-Martinez Jose、Hodzic Ermin、Shrestha Raunak、Ouyang Hua、Radivojac Predrag、Sahinalp Cenk、Menczer Filippo、Chang Yi、Saha Avishek、Mamitsuka Hiroshi、Yin Dawei
    • Journal Title

      IEEE Transactions on Knowledge and Data Engineering

      Volume: n/a Issue: 7 Pages: 1-1

    • DOI

      10.1109/tkde.2018.2789451

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K16114, KAKENHI-PROJECT-16H02868
  • [Journal Article] AiProAnnotator: Low-rank Approximation with network side information for high-performance, large-scale human Protein abnormality Annotator2018

    • Author(s)
      Gao Junning、Yao Shuwei、Mamitsuka Hiroshi、Zhu Shanfeng
    • Journal Title

      Proceedings of the 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018)

      Volume: - Pages: 13-20

    • DOI

      10.1109/bibm.2018.8621517

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] Convex Coupled Matrix and Tensor Completion2018

    • Author(s)
      Wimalawarne Kishan、Yamada Makoto、Mamitsuka Hiroshi
    • Journal Title

      Neural Computation

      Volume: 30 Issue: 11 Pages: 3095-3127

    • DOI

      10.1162/neco_a_01123

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] Exploring Phenotype Patterns of Breast Cancer within Somatic Mutations: a Modicum in the Intrinsic Code2017

    • Author(s)
      Yotsukura Sohiya, Karasuyama Masayuki, Takigawa Ichigaku, and Mamitsuka Hiroshi
    • Journal Title

      Briefings in Bioinformatics

      Volume: 18 Pages: bbw040-bbw040

    • DOI

      10.1093/bib/bbw040

    • Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-14J00381, KAKENHI-PROJECT-16H02868
  • [Journal Article] Adaptive Edge Weighting for Graph-Based Learning Algorithms2017

    • Author(s)
      M. Karasuyama, and H. Mamitsuka,
    • Journal Title

      Machine Learning

      Volume: 106 Issue: 2 Pages: 307-335

    • DOI

      10.1007/s10994-016-5607-3

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-26730120, KAKENHI-PROJECT-16H02868
  • [Journal Article] Generalized sparse learning of linear models over the complete subgraph feature set2017

    • Author(s)
      Takigawa I, Mamitsuka H
    • Journal Title

      IEEE Transactions on Pattern Analysis and Machine Intelligence

      Volume: 36(3) Issue: 3 Pages: 617-624

    • DOI

      10.1109/tpami.2016.2567399

    • NAID

      120006382284

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-26330242, KAKENHI-PROJECT-16H02868
  • [Journal Article] Convex Factorization Machine for Toxicogenomics Prediction2017

    • Author(s)
      Yamada Makoto、Lian Wenzhao、Goyal Amit、Chen Jianhui、Wimalawarne Kishan、Khan Suleiman A.、Kaski Samuel、Mamitsuka Hiroshi、Chang Yi
    • Journal Title

      Proceedings of the Twenty-third ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2017)

      Volume: - Pages: 1215-1224

    • DOI

      10.1145/3097983.3098103

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Journal Article] Mining approximate patterns with frequent locally optimal occurrences2016

    • Author(s)
      Nakamura A, Takigawa I, Tosaka H, Kudo M, Mamitsuka H
    • Journal Title

      Discrete Applied Mathematics

      Volume: 200 Pages: 123-152

    • DOI

      10.1016/j.dam.2015.07.002

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-26330242, KAKENHI-PUBLICLY-26120503, KAKENHI-PROJECT-24300054, KAKENHI-PROJECT-25280079, KAKENHI-PROJECT-15H02719
  • [Journal Article] Current Status and Prospects of Computational Resources for Natural Product Dereplication: A Review.2016

    • Author(s)
      Mohamed, A., Nguyen, C. H. and Mamitsuka, H.
    • Journal Title

      Briefings in Bioinformatics

      Volume: 17 Issue: 2 Pages: 309-321

    • DOI

      10.1093/bib/bbv042

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Journal Article] Computational Recognition for Long Non-coding RNA (lncRNA): Software and Databases.2016

    • Author(s)
      Yotsukura, S., duVerle D., Hancock, T., Natsume-Kitatani, Y. and Mamitsuka, H.
    • Journal Title

      Briefings in Bioinformatics

      Volume: unassigned Issue: 1 Pages: 9-27

    • DOI

      10.1093/bib/bbv114

    • Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-14J00381, KAKENHI-PROJECT-16H02868
  • [Journal Article] MeSHSim: An R/Bioconductor Package for Measuring Semantic Similarity over MeSH Headings and MEDLINE Documents2015

    • Author(s)
      Zhou, J., Shui, Y., Peng, S., Li, X., Mamitsuka, H. and Zhu, S.
    • Journal Title

      Journal of Bioinformatics and Computational Biology

      Volume: 13 Issue: 06 Pages: 1542002-1542002

    • DOI

      10.1142/s0219720015420020

    • NAID

      120006654075

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Journal Article] Non-negative Matrix Factorization with Auxiliary Information on Overlapping Groups2015

    • Author(s)
      Motoki Shiga, Hiroshi Mamitsuka
    • Journal Title

      IEEE Transactions on Knowledge and Data Engineering

      Volume: 27 Issue: 6 Pages: 1615-1628

    • DOI

      10.1109/tkde.2014.2373361

    • NAID

      120005663300

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-25870322, KAKENHI-PROJECT-24300054
  • [Journal Article] BMExpert: Mining MEDLINE for Finding Experts in Biomedical Domains Based on Language Model.2015

    • Author(s)
      Wang, B., Chen, X., Mamitsuka, H. and Zhu, S.
    • Journal Title

      IEEE/ACM Transactions on Computational Biology and Bioinformatics

      Volume: 12 Issue: 6 Pages: 1286-1294

    • DOI

      10.1109/tcbb.2015.2430338

    • NAID

      120006654074

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Journal Article] MeSHLabeler: Improving the Accuracy of Large-scale MeSH indexing by Integrating Diverse Evidence.2015

    • Author(s)
      Liu, K., Peng, S., Wu, J., Zhai, C., Mamitsuka H. and Zhu S.
    • Journal Title

      Bioinformatics

      Volume: 31 Issue: 12 Pages: i339-i347

    • DOI

      10.1093/bioinformatics/btv237

    • NAID

      120005980853

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Journal Article] Evaluation of Serum-based Cancer Biomarkers: A Brief Review from a Clinical and Computational Viewpoint2015

    • Author(s)
      Yotsukura, S. and Mamitsuka, H.
    • Journal Title

      Critical Reviews in Oncology/Hematology

      Volume: 93 Issue: 2 Pages: 103-115

    • DOI

      10.1016/j.critrevonc.2014.10.002

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-14J00381, KAKENHI-PROJECT-24300054
  • [Journal Article] NetPathMiner:R/Bioconductor Package for Network Path Mining through Gene Expression2014

    • Author(s)
      Mohamed, A., Hancock, T., Nguyen, C. H. and Mamitsuka, H.
    • Journal Title

      Bioinformatics

      Volume: 30 Issue: 21 Pages: 3139-3141

    • DOI

      10.1093/bioinformatics/btu501

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Journal Article] Selecting Graph Cut Solutions via Global Graph Similarity2014

    • Author(s)
      Nguyen, C. H., Wicker, N. and Mamitsuka, H.
    • Journal Title

      IEEE Transactions on Neural Networks and Learning Systems

      Volume: 25 Issue: 7 Pages: 1407-1412

    • DOI

      10.1109/tnnls.2013.2292975

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Journal Article] Detecting Differentially Coexpressed Genes from Labeled Expression Data:A Brief Review2014

    • Author(s)
      Kayano, M., Shiga, M. and Mamitsuka, H.
    • Journal Title

      IEEE/ACM Transactions on Computational Biology and Bioinformatics

      Volume: 11 Issue: 1 Pages: 154-167

    • DOI

      10.1109/tcbb.2013.2297921

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24300054, KAKENHI-PROJECT-24700290
  • [Journal Article] SIBIC : A Web Server for Generating Gene Set Seiworks Based on Blelusters Obtained by Maximal Frequent Itemsel Mining2013

    • Author(s)
      Keiichio Takahashi. Ichigaku Takigawa and Hiroshi Mamitsuka
    • Journal Title

      PLOS ONE

      Volume: 8(12) Issue: 12 Pages: e82890-e82890

    • DOI

      10.1371/journal.pone.0082890

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-12J04552, KAKENHI-PROJECT-23710233, KAKENHI-PROJECT-24300054
  • [Journal Article] A New Dissimilarity Measure for Comparing Labeled Graphs2013

    • Author(s)
      Wicker, N., Nguyen, C. H. and Mamitsuka, H.
    • Journal Title

      Linear Algebra and its Applications

      Volume: 438 Issue: 5 Pages: 2331-2338

    • DOI

      10.1016/j.laa.2012.10.021

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Journal Article] Efficient Semi-supervised MEDLINE Document Clustering with MeSH Semantic and Global Content Constraints2013

    • Author(s)
      Gu, J., Feng, W., Zeng, J., Mamitsuka, H. and Zhu, S.
    • Journal Title

      IEEE Transactions on Cybernetics

      Volume: 43 Issue: 4 Pages: 1265-1276

    • DOI

      10.1109/tsmcb.2012.2227998

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Journal Article] Multiple Graph Label Propagation by Sparse Integration2013

    • Author(s)
      Karasuyama, M. and Mamitsuka, H.
    • Journal Title

      IEEE Transactions on Neural Networks and Learning Systems

      Volume: 24 Issue: 12 Pages: 1999-2012

    • DOI

      10.1109/tnnls.2013.2271327

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24300054, KAKENHI-PROJECT-24800036
  • [Journal Article] An In Silico Model for Interpreting Polypharmacological Relationships in Drug-Target Networks2013

    • Author(s)
      Ichigaku Takigawa, Koji Tsuda, Hiroshi Mamitsuka
    • Journal Title

      Methods in Molecular Biology (In Silico Models for Drug Discovery)

      Volume: 993 Pages: 67-80

    • DOI

      10.1007/978-1-62703-342-8_5

    • ISBN
      9781627033411, 9781627033428
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710233, KAKENHI-PROJECT-24300054
  • [Journal Article] Fast Algorithms for Finding a Minimum Repetition Representation of Strings and Trees2013

    • Author(s)
      Nakamura, A., Saito, T., Takigawa, I., Kudo, M. and Mamitsuka, H.
    • Journal Title

      Discrete Applied Mathematics

      Volume: 161 Issue: 10-11 Pages: 1556-1575

    • DOI

      10.1016/j.dam.2012.12.013

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Journal Article] Graph mining: procedure, application to drug discovery and recent advances2013

    • Author(s)
      Ichigaku Takigawa, Hiroshi Mamitsuka
    • Journal Title

      Drug Discovery Today

      Volume: 18: 1-2 Issue: 1-2 Pages: 50-57

    • DOI

      10.1016/j.drudis.2012.07.016

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710233, KAKENHI-PROJECT-24300054
  • [Journal Article] Identifying Pathways of Coordinated Gene Expression2013

    • Author(s)
      Timothy Hancock, Ichigaku Takigawa, Hiroshi Mamitsuka
    • Journal Title

      Methods in Molecular Biology (Data Mining for Systems Biology)

      Volume: 939 Pages: 69-85

    • DOI

      10.1007/978-1-62703-107-3_7

    • ISBN
      9781627031066, 9781627031073
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710233, KAKENHI-PROJECT-24300054
  • [Journal Article] Similarity-based machine learning methods for predicting drug.target interactions : a brief review2013

    • Author(s)
      Ding H, Takigawa I, Mamitsuka H, Zhu S
    • Journal Title

      Briefings in Bioinformatics

      Volume: (印刷中・先行オンライン出版済) Issue: 5 Pages: 737-747

    • DOI

      10.1093/bib/bbt056

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710233, KAKENHI-PROJECT-24300054
  • [Journal Article] Latent Feature Kernels for Link Prediction on Sparse Graphs2012

    • Author(s)
      Nguhen, C. H. and Mamitsuka, H.
    • Journal Title

      LEEE Transactions on Neural Networks and Learning Systems

      Volume: 23 Issue: 11 Pages: 1793-1804

    • DOI

      10.1109/tnnls.2012.2215337

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Journal Article] A Hierarchical Mixture of Markov Models for Finding Biologically Active Paths using Gene Expression and Protein Classes2004

    • Author(s)
      Mamitsuka, H., Okuno, Y.
    • Journal Title

      Proceedings of the IEEE Computational Systems Bioinforimatics Conference (CSB 2004)

      Pages: 341-352

    • Data Source
      KAKENHI-PROJECT-16014211
  • [Presentation] ラジカル共重合におけるモノマー反応性比の機械学習を用いた理解と予測2022

    • Author(s)
      登阪雅聡, 朱南屹, 山子茂, 馬見塚拓
    • Organizer
      第71回高分子年次大会
    • Data Source
      KAKENHI-PROJECT-21H05027
  • [Presentation] Scalable Probabilistic Matrix Factorization with Graph-Based Priors.2020

    • Author(s)
      Strahl, J., Peltonen, J., Mamitsuka, H. and Kaski, S.
    • Organizer
      34th AAAI Conference on Artificial Intelligence (AAAI 2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Presentation] Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning.2019

    • Author(s)
      Sun Lu、Nguyen Canh Hao、Mamitsuka Hiroshi
    • Organizer
      28th International Joint Conference on Artificial Intelligence (IJCAI 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Presentation] Fast and Robust Multi-View Multi-Task Learning via Group Sparsity2019

    • Author(s)
      Sun Lu、Nguyen Canh Hao、Mamitsuka Hiroshi
    • Organizer
      28th International Joint Conference on Artificial Intelligence (IJCAI 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Presentation] Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms.2018

    • Author(s)
      Wimalawarme, K. and Mamitsuka, H.
    • Organizer
      Thirty-Second Annual Conference on Neural Information Processing Systems (NeurIPS 2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Presentation] AiProAnnotator: Low-rank Approximation with network side information for high-performance, large-scale human Protein abnormality Annotator2018

    • Author(s)
      Gao Junning、Yao Shuwei、Mamitsuka Hiroshi、Zhu Shanfeng
    • Organizer
      2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Presentation] Factor Analysis on a Graph.2018

    • Author(s)
      Karasuyama, M. and Mamitsuka, H.
    • Organizer
      Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Presentation] Factor Analysis on a Graph2018

    • Author(s)
      Karasuyama, M. and Mamitsuka, H.
    • Organizer
      21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Presentation] Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms2018

    • Author(s)
      Wimalawarne Kishan, Mamitsuka Hiroshi
    • Organizer
      Thirty-Second Annual Conference on Neural Information Processing Systems (NeurIPS 2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02868
  • [Presentation] MeSHLabeler: Improving the Accuracy of Large-scale MeSH indexing by Integrating Diverse Evidence2015

    • Author(s)
      Liu, K., Peng, S., Wu, J., Zhai, C., Mamitsuka H. and Zhu S.
    • Organizer
      23rd International Conference on Intelligent Systems for Molecular Biology (ISMB/ECCB 2015)
    • Place of Presentation
      Dublin, Ireland
    • Year and Date
      2015-07-10
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Presentation] Collaborative matrix factorization for predicting drug-target interactions2015

    • Author(s)
      Mamitsuka, H.
    • Organizer
      CIM Workshop on Machine Learning
    • Place of Presentation
      Uppsala, Sweden
    • Year and Date
      2015-10-08
    • Invited
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Presentation] Instance-wise Weighted Nonnegative Matrix Factorization for Aggregating Partitions with Locally Reliable Clusters.2015

    • Author(s)
      Zheng, X., Zhu, S., Gao, J. and Mamitsuka, H.
    • Organizer
      24th International Joint Conference on Artificial Intelligence (IJCAI 2015)
    • Place of Presentation
      Buenos Aires, Argentina
    • Year and Date
      2015-07-25
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Presentation] Collaborative Matrix Factorization for Predicting Drug-Target Interactions2014

    • Author(s)
      Mamitsuka, H.
    • Organizer
      Trends in Machine Learning
    • Place of Presentation
      Kyoto University, Japan
    • Invited
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Presentation] Mining Metabolic Pathways through Gene Expression2013

    • Author(s)
      Mamitsuka, H.
    • Organizer
      Kyoto University--Koc University Symposium ``New Frontiers in Health Sciences & Technologies''
    • Place of Presentation
      Kyoto University, Japan
    • Invited
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Presentation] Manifold-based Similarity Adaptation for Label Propagation2013

    • Author(s)
      Karasuyama, M. and Mamitsuka, H.
    • Organizer
      Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013)
    • Place of Presentation
      Lake Tahoe, NV, USA
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Presentation] Variational Bayes Co-clustering with Auxiliary Information2013

    • Author(s)
      Shiga, M. and Mamitsuka, H.
    • Organizer
      4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering (MultiClust 2013)
    • Place of Presentation
      Chicago, IL, USA
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Presentation] Machine Learning for Bioinformatics2013

    • Author(s)
      Mamitsuka, H.
    • Organizer
      FASEB Science and Research Conference, The Biology of Calpains in Health and Disease
    • Place of Presentation
      Saxtons River, VT, USA
    • Invited
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Presentation] Collaborative Matrix Factorization with Multiple Similarities for Predicting Drug-Target Interactions2013

    • Author(s)
      Zheng, X., Ding, H., Mamitsuka, H. and Zhu, S.
    • Organizer
      Nineteenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD 2013)
    • Place of Presentation
      Chicago, IL, USA
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Presentation] Mining Significant Substructure Pairs from Drug-Target Network2013

    • Author(s)
      馬見塚 拓
    • Organizer
      日本バイオインフォマティクス学会第17回創薬インフォマティクス研究会
    • Place of Presentation
      産業技術総合研究所臨海副都心センター別館
    • Invited
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Presentation] Efficiently Detecting Switching Mechanisms in Gene Expression2013

    • Author(s)
      Mamitsuka, H.
    • Organizer
      23rd International Conference on Genome Informatics (GIW 2013)
    • Place of Presentation
      Matrix, Biopolis, Singpore
    • Invited
    • Data Source
      KAKENHI-PROJECT-24300054
  • [Presentation] Learning kernel-based feature representation for gene essentiality prediction

    • Author(s)
      Karasuyama, M. and Mamitsuka, H.
    • Organizer
      DREAM Challenges and Cytoscape Workshops
    • Place of Presentation
      San Diego, CA, USA
    • Year and Date
      2014-11-09 – 2014-11-14
    • Data Source
      KAKENHI-PROJECT-24300054
  • 1.  Takigawa Ichigaku (10374597)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 7 results
  • 2.  山口 敦子 (10346108)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 3.  Hancock Timothy (80600709)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 4.  Shiga Motoki (20437263)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 3 results
  • 5.  Tsuda Koji (90357517)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  Kayano Mitsunori (20590095)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 7.  Nguyen Canh Hao (90626889)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 10 results
  • 8.  Nakamura Atsuyoshi (50344487)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  KUDO Mineichi (60205101)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 10.  KIDA Takuya (70343316)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  OKUBO Yoshiaki (40271639)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  山子 茂 (30222368)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 13.  遊佐 真一 (00301432)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 14.  竹中 幹人 (30222102)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 15.  PETSCHNER PETER
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 16.  KARASUYAMA Masayuki
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 17.  YOSHIKAWA Chiaki
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 18.  遠藤 寿
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 19.  NGUYEN DaiーHai
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 2 results
  • 20.  山田 誠
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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