Top-k Substring Matching for Auto-Completion. - Yuzuru Okajima (ALENEX, 2014)

Faster Linear-space Orthogonal Range Searching in Arbitrary Dimensions. - Yuzuru Okajima; Kouichi Maruyama (ALENEX, 2015)

Deep Neural Networks Constrained by Decision Rules. - Yuzuru Okajima; Kunihiko Sadamasa (AAAI, 2019)

Efficient Bayes Risk Estimation for Cost-Sensitive Classification. - Daniel Andrade; Yuzuru Okajima (AISTATS, 2019)

Decision List Optimization based on Continuous Relaxation. - Yuzuru Okajima; Kunihiko Sadamasa (SDM, 2019)

Adaptive covariate acquisition for minimizing total cost of classification. - Daniel Andrade; Yuzuru Okajima (Mach. Learn., 2021)

Convex covariate clustering for classification. - Daniel Andrade; Kenji Fukumizu; Yuzuru Okajima (Pattern Recognit. Lett., 2021)

Alternative Ruleset Discovery to Support Black-Box Model Predictions. - Yoichi Sasaki 002; Yuzuru Okajima (IEICE Trans. Inf. Syst., 2023)

Top-k Rule List Learning via Integer Linear Programming. - Yoichi Sasaki 002; Yuzuru Okajima (PRICAI (5), 2024)

Retraining Gradient Boosting Decision Trees with Backward Compatibility of Explanations. - Tsukasa Yamakura; Yoichi Sasaki 002; Yuzuru Okajima; Thiem Van Chu (PAKDD (2), 2025)