Taishi Nishiyama

According to our database, Taishi Nishiyama authored at least 10 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Meta-learning representations for learning from multiple annotators.

Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasutoshi Ida, Yasuhiro Fujiwara

Neurocomputing, 2026

2025

Positive-unlabeled AUC Maximization under Covariate Shift.

Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Kazuki Adachi, Yasuhiro Fujiwara

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation.

Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

AUC Maximization under Positive Distribution Shift.

Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Partial AUC Maximization for Security Log Analysis Robust to Overfitting and Noisy Labels.

Taishi Nishiyama, Atsutoshi Kumagai, Akinori Fujino, Kazunori Kamiya

Proceedings of the 2024 IEEE Global Communications Conference, 2024

Malicious Log Detection Using Machine Learning to Maximize the Partial AUC.

Taishi Nishiyama, Atsutoshi Kumagai, Akinori Fujino, Kazunori Kamiya

Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2022

Transfer Anomaly Detection for Maximizing the Partial AUC.

Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasuhiro Fujiwara

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs.

Taishi Nishiyama, Atsutoshi Kumagai, Akinori Fujino, Kazunori Kamiya

Proceedings of the Data Mining, 2021

2020

SILU: Strategy Involving Large-scale Unlabeled Logs for Improving Malware Detector.

Taishi Nishiyama, Atsutoshi Kumagai, Kazunori Kamiya, Kenji Takahashi

Proceedings of the IEEE Symposium on Computers and Communications, 2020

2014

On trajectory tracking control of port-Hamiltonian systems with quaternions.

Kenji Fujimoto, Taishi Nishiyama

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014