Yuzuru Okajima: Our Researchers

February 22, 2022

Yuzuru Okajima

April 2008 - Present : NEC Corporation
April 2006 - March 2008: Master of Engineering, Graduate School of Information Science and Technology, The University of Tokyo, Japan
April 2002 - March 2006: Bachelor of Engineering, Faculty of Engineering, The University of Tokyo, Japan

Yoichi Sasaki, Yuzuru Okajima, "Alternative Ruleset Discovery to Support Black-box Model Predictions", in Proceedings of the 2021 IEEE International Conference on Data Mining (ICDM), December 7-10, 2021, Auckland, New Zealand.
Daniel Andrade, Yuzuru Okajima. Efficient Bayes Risk Estimation for Cost-Sensitive Classification. The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019), 2019.
Yuzuru Okajima, Kunihiko Sadamasa. Decision List Optimization based on Continuous Relaxation. The SIAM International Conference on Data Mining (SDM19), 2019.
Yuzuru Okajima, Kunihiko Sadamasa. Deep neural networks constrained by decision rules. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), January, 2019
Yuzuru Okajima and Koichi Maruyama. Random Clustering for Multiple Sampling Units to Speed Up Run-time Sample Generation. DEIM 2018, 2018.
Daniel Andrade, Kenji Fukumizu, and Yuzuru Okajima. Convex Feature Clustering and Selection With Class Label Information. Optimization for Machine Learning at NIPS 2017 Workshop, Long Beach, 2017.
Yuzuru Okajima, Kouichi Maruyama, “Faster Linear-space Orthogonal Range Searching in Arbitrary Dimensions”, Proceedings of the Meeting on Algorithm Engineering & Expermiments (ALENEX15)
Yuzuru Okajima, "Top-k substring matching for auto-completion", Proceedings of the Meeting on Algorithm Engineering & Expermiments (ALENEX14)

Yuzuru Okajima, Koichi Maruyama. Random Clustering for Multiple Sampling Units to Speed Up Run-time Sample Generation. DBSJ Journal, Vol. 17, March, 2019.