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Fingerprint Dive into the research topics where Masayuki Goto is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Vector spaces Engineering & Materials Science
Document Classification Mathematics
Collaborative filtering Engineering & Materials Science
Bayes Mathematics
Distance Metric Mathematics
Asymptotic analysis Engineering & Materials Science
Latent Class Model Mathematics
Customers Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1996 2019

  • 74 Citations
  • 4 h-Index
  • 34 Article
  • 21 Conference contribution

A Visualization System of the Contribution of Learners in Software Development PBL Using GitHub

Miyashita, Y., Hazeyama, A., Hashiura, H., Goto, M. & Hirasawa, S., 2019 May 21, Proceedings - 25th Asia-Pacific Software Engineering Conference, APSEC 2018. IEEE Computer Society, p. 695-696 2 p. 8719425. (Proceedings - Asia-Pacific Software Engineering Conference, APSEC; vol. 2018-December).

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

Software engineering
Visualization
Education

Binary document classification based on fast flux discriminant with similarity measure on word set

Okubo, K., Kumoi, G. & Goto, M., 2019 Jan 1, In : Industrial Engineering and Management Systems. 18, 2, p. 245-251 7 p.

Research output: Contribution to journalArticle

interaction
divergence
newspaper
simulation
Document classification

Customer clustering based on a latent class model representing preferences for item seasonality

Ninohira, M., Yamashita, H. & Goto, M., 2019 Jan 1, In : Journal of Japan Industrial Management Association. 69, 4 E, p. 195-206 12 p.

Research output: Contribution to journalArticle

Latent Class Model
Seasonality
Customers
Clustering
Marketing

Collaborative filtering based on the latent class model for attributes

Kobayashi, M., Mikawa, K., Goto, M., Matsushima, T. & Hirasawa, S., 2018 Jan 16, Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 893-896 4 p.

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

Collaborative filtering
Marketing
Statistical Models

Distance metric learning using each category centroid with nuclear norm regularization

Mikawa, K., Kobayashi, M., Goto, M. & Hirasawa, S., 2018 Feb 2, 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-5 5 p.

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

Distance Metric
Centroid
Regularization
Norm
Pattern recognition