If you made any changes in Pure these will be visible here soon.

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

  • 4 Similar Profiles
Neural networks Engineering & Materials Science
Nonlinear systems Engineering & Materials Science
Network Programming Mathematics
Support vector machines Engineering & Materials Science
Reinforcement learning Engineering & Materials Science
Genetic Network Mathematics
Association rules Engineering & Materials Science
Evolutionary algorithms Engineering & Materials Science

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

Research Output 1985 2019

  • 2220 Citations
  • 19 h-Index
  • 225 Conference contribution
  • 111 Article
  • 1 Conference article

A Convolutional Auto-Encoder Method for Anomaly Detection on System Logs

Cui, Y., Sun, Y., Furuzuki, T. & Sheng, G., 2019 Jan 16, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 3057-3062 6 p. 8616515. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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

Support vector machines
Ant colony optimization
Macros
Learning systems
Genes

Air quality forecasting using SVR with quasi-linear kernel

Zhu, H. & Hu, J., 2019 Aug, CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems. Obaidat, M. S., Mi, Z., Hsiao, K-F., Nicopolitidis, P. & Cascado-Caballero, D. (eds.). Institute of Electrical and Electronics Engineers Inc., 8862114. (CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems).

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

Air quality
Air pollution
Linear networks
Binary sequences
Health

A Metric Learning Method for Improving Neural Network Based Kernel Learning for SVM

Liang, P., Yao, X. & Furuzuki, T., 2019 Jan 16, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 1641-1646 6 p. 8616280. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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

Distance Education
Learning
Neural networks
Linear networks
Classifiers
1 Citation (Scopus)
Support vector machines
Switches
Manual control
Classifiers

A Semi-supervised Classification Using Gated Linear Model

Ren, Y., Li, W. & Hu, J., 2019 Jul, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852099. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

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

Linear regression
Supervised learning
Classifiers