Yoichi Matsuo

Orcid: 0009-0003-6705-7829

According to our database1, Yoichi Matsuo authored at least 16 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Optimizing Edge-Cloud Cooperation for Machine Learning Accuracy Considering Transmission Latency and Bandwidth Congestion.
IEICE Trans. Commun., September, 2023

Autoscaling Packet Core Network Functions with Deep Reinforcement Learning.
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

Fault Detection of ICT systems with Deep Learning Model for Missing Data.
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
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise.
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
Experiments on a Parallel Nonlinear Jacobi-Davidson Algorithm.
Proceedings of the International Conference on Computational Science, 2014


  Loading...