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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Computer networks Engineering & Materials Science
XML Engineering & Materials Science
User interfaces Engineering & Materials Science
Education Engineering & Materials Science
Supervised learning Engineering & Materials Science
Classifiers Engineering & Materials Science
Reinforcement learning Engineering & Materials Science
Inference engines Engineering & Materials Science

Research Output 1995 2018

  • 68 Citations
  • 4 h-Index
  • 24 Article
  • 17 Conference contribution

Reconstruction of a 3D model from single 2D image by GAN

Si, L. & Yasumura, Y., 2018 Jan 1, Multi-disciplinary Trends in Artificial Intelligence - 12th International Conference, MIWAI 2018, Proceedings. Malaka, R., Kaenampornpan, M., Nguyen, D. D. & Schwind, N. (eds.). Springer Verlag, p. 226-232 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11248 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Three-dimensional shape reconstruction from a single image based on feature learning

Sakai, K. & Yasumura, Y., 2018 May 30, 2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., p. 1-4 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Learning systems
1 Citation (Scopus)

Potential topics discovery from topic frequency transition with semi-supervised learning

Yasumura, Y., Takahashi, H. & Uehara, K., 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 7197 LNAI. p. 477-486 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7197 LNAI, no. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Blogs
Supervised learning
Labeling
Classifiers
Costs
1 Citation (Scopus)

Semi-supervised Gaussian process regression and its feedback design

Guo, X., Yasumura, Y. & Uehara, K., 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7713 LNAI. p. 353-366 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7713 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feedback
Supervised learning
Learning systems

Graph-based Semi-Supervised Kernel Regression via Gaussian Process

Guo, X., Uehara, K. & Yasumura, Y., 2011 Mar 29, In : Default journal.

Research output: Contribution to journalArticle