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Taishi Nishiyama
Observed name:
Nishiyama, Taishi
Institution:
NTT (Japan)
Observed institution:
NTT (Japan)
OpenAlex ID:
A5084250200
SILU: Strategy Involving Large-scale Unlabeled Logs for Improving Malware Detector
2020
·
Taishi Nishiyama
, Atsutoshi Kumagai
, et al.
·
IEEE Symposium on Computers and Communications (ISCC)
·
28
Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs
2021
·
Taishi Nishiyama
, Atsutoshi Kumagai
, et al.
·
Communications in computer and information science
·
3
Domain Generation Algorithm Detection Utilizing Model Hardening Through GAN-Generated Adversarial Examples
2020
·
Nathaniel Gould
, Taishi Nishiyama
, et al.
·
Communications in computer and information science
·
3
Malicious Log Detection Using Machine Learning to Maximize the Partial AUC
2024
·
Taishi Nishiyama
, Atsutoshi Kumagai
, et al.
·
IEEE Consumer Communications and Networking Conference
·
2
AUC Maximization under Positive Distribution Shift
2024
·
Atsutoshi Kumagai
, Tomoharu Iwata
, et al.
·
neural information processing systems
·
1
Partial AUC Maximization from Positive-unlabeled Data
2026
·
Kumagai, Atsutoshi
, Iwata, Tomoharu
, et al.
·
arXiv (Cornell University)
PDF
AUC Maximization from Biased Positive-unlabeled Data with Confidence
2026
·
Kumagai, Atsutoshi
, Iwata, Tomoharu
, et al.
·
arXiv (Cornell University)
PDF
Importance Weighting for Unlabeled-unlabeled Learning under Distribution Shift
2026
·
Kumagai, Atsutoshi
, Iwata, Tomoharu
, et al.
·
arXiv (Cornell University)
PDF
Meta-learning representations for learning from multiple annotators
2026
·
Atsutoshi Kumagai
, Tomoharu Iwata
, et al.
·
Neurocomputing
PDF
Partial AUC Maximization for Security Log Analysis Robust to Overfitting and Noisy Labels
2024
·
Taishi Nishiyama
, Atsutoshi Kumagai
, et al.
·
Globecom
Transfer Anomaly Detection for Maximizing the Partial AUC
2022
·
Atsutoshi Kumagai
, Tomoharu Iwata
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
Regulatory Compliance Monitoring on the Web Using Paragraph Vector
2019
·
M Sasaki
, Taishi Nishiyama
, et al.
·
IEICE Technical Report; IEICE Tech. Rep.
Deep Learning Approach for Detecting Malware Infected Host and Detection Performance Evaluation with HTTP Traffic
2017
·
Taishi Nishiyama
, Atsutoshi Kumagai
, et al.
·
IEICE Technical Report; IEICE Tech. Rep.
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Works count:
13
Citation count:
37
H-index:
3
I10-index:
1
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