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Fingerprint Takayuki Furuzukiが取り組む研究トピックをご確認ください。これらのトピックラベルは、この人物の研究に基づいています。これらを共に使用することで、固有の認識が可能になります。

  • 6 同様のプロファイル
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

ネットワーク 最近の共同研究。丸をクリックして詳細を確認しましょう。

研究成果 1985 2019

  • 2182 引用
  • 19 h指数
  • 219 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 1 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).

研究成果: Conference contribution

Support vector machines
Ant colony optimization
Macros
Learning systems
Genes

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

Liang, P., Yao, X. & Furuzuki, T., 2019 1 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).

研究成果: Conference contribution

Distance Education
Learning
Neural networks
Linear networks
Classifiers
Support vector machines
Switches
Manual control
Classifiers

Feature Extraction Using a Mutually-Competitive Autoencoder for Protein Function Prediction

Miranda, L. J. & Furuzuki, T., 2019 1 16, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 1337-1342 6 p. 8616230. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

研究成果: Conference contribution

Feature extraction
Proteins
Neurons
Benchmarking
Statistical tests

One-Class Classification Using Quasi-Linear Support Vector Machine

Liang, P., Li, W., Wang, Y. & Furuzuki, T., 2019 1 16, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 662-667 6 p. 8616117. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

研究成果: Conference contribution

Support vector machines
Linear networks
Classifiers
Support Vector Machine
Support vector machine