Yoichi Matsuo
Orcid: 0009-0003-6705-7829
According to our database1,
Yoichi Matsuo
authored at least 19 papers
between 2014 and 2024.
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Bibliography
2024
Vehicle Traffic Density Estimation with Deep Learning for Predicting Communication Traffic Volume by Vehicle Communication Services.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Proceedings of the 20th International Conference on Network and Service Management, 2024
Proceedings of the 2nd International Conference on 6G Networking, 2024
2023
Optimizing Edge-Cloud Cooperation for Machine Learning Accuracy Considering Transmission Latency and Bandwidth Congestion.
IEICE Trans. Commun., September, 2023
Proceedings of the NOMS 2023, 2023
Integrating state prediction into the Deep Reinforcement Learning for the Autoscaling of Core Network Functions.
Proceedings of the NOMS 2023, 2023
CMRCV: Causal Modeling to Localize Failed Equipment by Representative Nodes and Contribution Values.
Proceedings of the International Conference on Computing, Networking and Communications, 2023
Empirical Analysis of the Fine-Tuning for Unsupervised Anomaly Detection in the ICT System.
Proceedings of the 19th International Conference on Network and Service Management, 2023
2021
DeepSIP: A System for Predicting Service Impact of Network Failure by Temporal Multimodal CNN.
IEICE Trans. Commun., 2021
Shapley-value-based Quality Degradation Analysis Method for Adaptive Bitrate Streaming Services.
Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021
Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021
Performance Analysis of Anomaly Detection Methods for Application System on Kubernetes with Auto-scaling and Self-healing.
Proceedings of the 17th International Conference on Network and Service Management, 2021
2020
J. Mach. Learn. Res., 2020
Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning.
Proceedings of the NOMS 2020, 2020
A Framework for Automatic Failure Recovery in ICT Systems by Deep Reinforcement Learning.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
2018
Workflow Extraction for Service Operation Using Multiple Unstructured Trouble Tickets.
IEICE Trans. Inf. Syst., 2018
Root-Cause Diagnosis for Rare Failures Using Bayesian Network with Dynamic Modification.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
2016
Workflow extraction for service operation using multiple unstructured trouble tickets.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016
2014
Proceedings of the International Conference on Computational Science, 2014