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研究者情報 |
Computer Centre
Profile Information
- Affiliation
- Professor, Computer Centre / Archival Science, Graduate School of Humanities, Gakushuin UniversityTokyo Denki University
- Degree
- Ph.D.(University of Tokyo)
- Researcher number
- 80302660
- ORCID ID
https://orcid.org/0000-0003-1590-0231- J-GLOBAL ID
- 200901047478411760
- researchmap Member ID
- 5000102916
- External link
Research Interests
21Research Areas
3Research History
6-
Dec, 2019 - Present
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Apr, 2019 - Present
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Apr, 2013 - Present
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Apr, 2008 - Mar, 2013
Education
1-
Apr, 1989 - Mar, 1992
Committee Memberships
6-
Apr, 2018 - Mar, 2022
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Apr, 2012 - Mar, 2015
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Apr, 2012 - Mar, 2014
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Apr, 2010 - Mar, 2012
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Apr, 2007 - Mar, 2011
Awards
4Papers
126-
Journal of Crystal Growth, Jan, 2025
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日本結晶成長学会誌, 50(1) 50-1-05, Apr 28, 2023 Peer-reviewed
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J106-A(3) 104-113, Mar 1, 2023 Peer-reviewedBased on the behavior analysis of the co-eating of older adults, this study clarifies the effects of psychological health on meal time conversation. We conducted a dietary experiment in which the same menu was provided in individual and platter formats to four groups consisting of six older adults. From the recorded video, participant's speech behaviors were annotated from the start of eating to 20 minutes. The subjects of analysis were the amount of speech and topics of the participants. The results revealed that during the meal, the speaker could easily secure a situation in which they continued to speak at a certain time, and the participants activated the interaction on the topic of cooking. This study found that co-eating conversation functions as a place to deepen mutual understanding among participants and to give the first meeting an opportunity to talk with each other.
Misc.
131-
電子情報通信学会技術研究報告(Web), 121(363(HCS2021 43-60)) 43-48, 2022
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Proceedings of the Annual Conference of JSAI, JSAI2021 4G3GS2l01-4G3GS2l01, 2021Knowledge acquisition from graph structured data is an important task in machine learning and data mining. TTSP (Two-Terminal Series Parallel) graphs are used as data models for electric networks and scheduling. We propose an evolutionary learning method for obtaining characteristic multiple TTSP graph patterns with wildcards, from positive and negative TTSP graph data by clustering TTSP graphs.
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Proceedings of the Annual Conference of JSAI, JSAI2021 4G3GS2l02-4G3GS2l02, 2021Machine learning and data mining from tree structured data are studied intensively. We propose an evolutionary learning method for acquiring characteristic tag tree patterns with vertex labels and wildcards from positive and negative tree data, by using label information of positive examples. We report preliminary experimental results on our evolutionary learning method.
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Proceedings of the Annual Conference of JSAI, JSAI2020 1O3GS802-1O3GS802, 2020Machine learning from graph structured data are studied intensively. Many chemical compounds can be expressed by outerplanar graphs. The purpose of this paper is to propose a learning method for obtaining characteristic graph patterns from positive and negative outerplanar graph data. We propose a two-stage evolutionary learning method for acquiring characteristic multiple block preserving outerplanar graph patterns with wildcards from positive and negative outerplanar graph data, by using label information of positive examples. We report preliminary experimental results on our evolutionary learning method.
Teaching Experience
15-
Apr, 2023 - PresentConcepts of Computing (Waseda University)
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Oct, 2022 - PresentIntermediate Python Programming (Gakushuin University)
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Apr, 2022 - PresentDigital Archives (Gakushuin University)
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Apr, 2022 - PresentIntroduction to Computer Science (Gakushuin University)
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Apr, 2022 - PresentIntroduction to Information Theory (Gakushuin University)
Professional Memberships
4Research Projects
33-
Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Apr, 2023 - Mar, 2028
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科学研究費助成事業 基盤研究(C), 日本学術振興会, Apr, 2022 - Mar, 2026
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Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2021 - Mar, 2026
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Grants-in-Aid for Scientific Research Grant-in-Aid for Transformative Research Areas (A), Japan Society for the Promotion of Science, Nov, 2020 - Mar, 2025
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科学研究費助成事業 挑戦的研究(開拓), 日本学術振興会, Jul, 2020 - Mar, 2024