Publications

  • February 22, 2019

    Trends and our research in molecular generation and retrosynthetic planning

    Technical Information Institute Seminar "Materials Informatics"

  • 6-Nov-18

    Retrosynthetic Planning with Generative Adversarial Network

    The 21st Information-Based Induction Sciences Workshop(IBIS2018)

  • 5-Nov-18

    Robust Estimation to Graph Structure of Nonparanormal Distribution

    The 21st Information-Based Induction Sciences Workshop(IBIS2018)

  • 27-Oct-18

    Retrosynthetic Planning with Generative Adversarial Network

    The 41th Chemoinformatics Symposium

  • 18-Oct-18

    Panel Discussion "Future AI for Industry"

    AI technology development needed for sustainable AI business expansion, CEATEC Japan 2018

  • 13-Sep-18

    Retrosynthetic Planning with Generative Adversarial Network

    The 12th Annual Meeting of Japan Society for Molecular Science

  • 6-Nov-18

    Retrosynthetic Planning with Generative Adversarial Network

    The 21st Information-Based Induction Sciences Workshop(IBIS2018)

  • 5-Nov-18

    Robust Estimation to Graph Structure of Nonparanormal Distribution

    The 21st Information-Based Induction Sciences Workshop(IBIS2018)

  • 27-Oct-18

    Retrosynthetic Planning with Generative Adversarial Network

    The 41th Chemoinformatics Symposium

  • 18-Oct-18

    Panel Discussion "Future AI for Industry"

    AI technology development needed for sustainable AI business expansion, CEATEC Japan 2018

  • 13-Sep-18

    Retrosynthetic Planning with Generative Adversarial Network

    The 12th Annual Meeting of Japan Society for Molecular Science

  • November 24-25,2015

    Lane-change Detection on Actual Driving Data in Urban Strees Using Sensors for Vehicle Behavior

    WebDB Forum 2015

  • December 18,2015

    Study of Driving Behavior Analysis Technology to obtain Collective Intelligence from Automotive Big Data - Lane-change Detection by Supervised learning and Driving Pattern Extraction by Unsupervised learning

    ISIT 17th Car Electronics Study Group