On trajectory tracking control of port-Hamiltonian systems with quaternions. - Kenji Fujimoto; Taishi Nishiyama (CDC, 2014)

SILU: Strategy Involving Large-scale Unlabeled Logs for Improving Malware Detector. - Taishi Nishiyama; Atsutoshi Kumagai; Kazunori Kamiya; Kenji Takahashi (ISCC, 2020)

Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs. - Taishi Nishiyama; Atsutoshi Kumagai; Akinori Fujino; Kazunori Kamiya (AusDM, 2021)

Transfer Anomaly Detection for Maximizing the Partial AUC. - Atsutoshi Kumagai; Tomoharu Iwata; Taishi Nishiyama; Yasuhiro Fujiwara (IJCNN, 2022)

Malicious Log Detection Using Machine Learning to Maximize the Partial AUC. - Taishi Nishiyama; Atsutoshi Kumagai; Akinori Fujino; Kazunori Kamiya (CCNC, 2024)

Partial AUC Maximization for Security Log Analysis Robust to Overfitting and Noisy Labels. - Taishi Nishiyama; Atsutoshi Kumagai; Akinori Fujino; Kazunori Kamiya (GLOBECOM, 2024)

AUC Maximization under Positive Distribution Shift. - Atsutoshi Kumagai; Tomoharu Iwata; Hiroshi Takahashi; Taishi Nishiyama; Yasuhiro Fujiwara (NeurIPS, 2024)

Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation. - Atsutoshi Kumagai; Tomoharu Iwata; Hiroshi Takahashi; Taishi Nishiyama; Yasuhiro Fujiwara (AISTATS, 2025)

Meta-learning Representations for Learning from Multiple Annotators. - Atsutoshi Kumagai; Tomoharu Iwata; Taishi Nishiyama; Yasutoshi Ida; Yasuhiro Fujiwara (CoRR, 2025)