CURRICULUM VITAE
EDUCATION
HONORS & AWARDS
WORK EXPERIENCE
COMMUNITY ACTIVITY
ABROAD EXPERIENCE
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RESEARCH INTEREST
Development of learning methodologies for large-scale, real-world structured data (such as graphs, hypergraphs). Especially, I have been developing modeling techniques for multinomial relational data.
Keywords
- Hyper Graph
- Graph Structure
- Graph Kernel
- Spectral Graph Theory
- Machine Learning
- Semi-supervised Learning
- Relational Learning
- Social Computing
- Web Mining
- Artificial Intelligence
- Amplifier of Human Intelligence
- Collective Intelligence / Wisdom of Crowds
- Semantic Computing
- Linked Data
USING TECH
Python, Ruby, R, C, C#, Java, Gentoo, MySQL, Git, HTML/CSS, RDF, XML...
PUBLICATION
Refereed International Conference Publication
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[1] Nozomi Nori, Danushka Bollegala, Mitsuru Ishizuka:
Interest Prediction on Multinomial, Time-Evolving Social Graphs
Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2011), July 2011 -
[2] Nozomi Nori, Danushka Bollegala, Mitsuru Ishizuka:
Exploiting User Interest on Social Media for Aggregating Diverse Data and Predicting Interest Proceedings of International AAAI Conference on Weblogs and Social Media (ICWSM2011), July 2011
Domestic Conference
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[1] Nozomi Nori, Danushka Bollegala, Mitsuru Ishizuka:
Translated title: Exploiting Activities Data for Learning Preferences, Proceedings of the 25th Annual Conference of the Japanese Society for Artificial Intelligence. (2011.06) -
[2] Nozomi Nori, Danushka Bollegala, Mitsuru Ishizuka:
Translated title: Interest Prediction in Multi-Domain, Multi-Relational Social Media, Proceedings of the 73rd Annual Conference of the Information Processing Society of Japan. (2011.03) -
[3] Kiyohiro Yamaguchi, Nozomi Nori:
Translated title: A Framework to deal with data on the Web as Graph, 43rd Computer Science Young Community, by Programming Symposium Information Processing Society. (2010.09) -
[4] Nozomi Nori,Kiyohiro Yamaguchi, Yasuhiro Hashimoto:
Translated title: Characterization of Tumblr articles by information flow pathway, 89th SIG-KBS, The Japanese Society for Artificial Intelligence. (2010.03) br>
Datasets
Datsets (used in our papers etc) are available from the following.
