Taishi Nishiyama

11 papers A* 2A 1B 2C 1Misc 1Journal 2Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Meta-learning representations for learning from multiple annotators. Neurocomputing Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasutoshi Ida, Yasuhiro Fujiwara
2025	A	`conf`	Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation. AISTATS Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara
2025	J	`jnl`	Meta-learning Representations for Learning from Multiple Annotators. CoRR Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasutoshi Ida, Yasuhiro Fujiwara
2025	A*	`conf`	Positive-unlabeled AUC Maximization under Covariate Shift. ICML Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Kazuki Adachi, Yasuhiro Fujiwara
2024	A*	`conf`	AUC Maximization under Positive Distribution Shift. NeurIPS Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara
2024	—	`conf`	Malicious Log Detection Using Machine Learning to Maximize the Partial AUC. CCNC Taishi Nishiyama, Atsutoshi Kumagai, Akinori Fujino, Kazunori Kamiya
2024	B	`conf`	Partial AUC Maximization for Security Log Analysis Robust to Overfitting and Noisy Labels. GLOBECOM Taishi Nishiyama, Atsutoshi Kumagai, Akinori Fujino, Kazunori Kamiya
2022	B	`conf`	Transfer Anomaly Detection for Maximizing the Partial AUC. IJCNN Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasuhiro Fujiwara
2021	Misc	`conf`	Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs. AusDM Taishi Nishiyama, Atsutoshi Kumagai, Akinori Fujino, Kazunori Kamiya
2020	C	`conf`	SILU: Strategy Involving Large-scale Unlabeled Logs for Improving Malware Detector. ISCC Taishi Nishiyama, Atsutoshi Kumagai, Kazunori Kamiya, Kenji Takahashi
2014	—	`conf`	On trajectory tracking control of port-Hamiltonian systems with quaternions. CDC Kenji Fujimoto, Taishi Nishiyama