Yoichi Matsuo

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 20

Top Topics

Reinforcement Learning

Anomaly Detection

Dynamical Systems

Quality Degradation

Top Venues

IEICE Trans. Commun.

Publications

Yoichi Matsuo
Empirical Analysis of the Fine-Tuning for Unsupervised Anomaly Detection in the ICT System. CNSM (2023)
Yoichi Matsuo, Yuusuke Nakano, Keishiro Watanabe
CMRCV: Causal Modeling to Localize Failed Equipment by Representative Nodes and Contribution Values. ICNC (2023)
Yoichi Matsuo, Jatinder Singh, Shantanu Verma, Guillaume Fraysse
Integrating state prediction into the Deep Reinforcement Learning for the Autoscaling of Core Network Functions. NOMS (2023)
Kengo Tajiri, Ryoichi Kawahara, Yoichi Matsuo
Optimizing Edge-Cloud Cooperation for Machine Learning Accuracy Considering Transmission Latency and Bandwidth Congestion. IEICE Trans. Commun. 106 (9) (2023)
Jatinder Singh, Shantanu Verma, Yoichi Matsuo, Francesca Fossati, Guillaume Fraysse
Autoscaling Packet Core Network Functions with Deep Reinforcement Learning. NOMS (2023)
Kengo Tajiri, Ryoichi Kawahara, Yoichi Matsuo
Optimizing Edge-Cloud Cooperation for Machine Learning Accuracy Considering Transmission Latency and Bandwidth Congestion. NOMS (2022)
Kengo Tajiri, Tomoharu Iwata, Yoichi Matsuo, Keishiro Watanabe
Fault Detection of ICT systems with Deep Learning Model for Missing Data. IM (2021)
Yoichi Matsuo, Kazuhisa Yamagishi, Shoko Takahashi
Shapley-value-based Quality Degradation Analysis Method for Adaptive Bitrate Streaming Services. MMSP (2021)
Yoichi Matsuo, Daisuke Ikegami
Performance Analysis of Anomaly Detection Methods for Application System on Kubernetes with Auto-scaling and Self-healing. CNSM (2021)
Yoichi Matsuo, Tatsuaki Kimura, Ken Nishimatsu
DeepSIP: A System for Predicting Service Impact of Network Failure by Temporal Multimodal CNN. IEICE Trans. Commun. (10) (2021)
Yoichi Matsuo, Tatsuaki Kimura, Ken Nishimatsu
DeepSIP: A System for Predicting Service Impact of Network Failure by Temporal Multimodal CNN. CoRR (2020)
Hiroki Ikeuchi, Akio Watanabe, Tsutomu Hirao, Makoto Morishita, Masaaki Nishino, Yoichi Matsuo, Keishiro Watanabe
Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning. CoRR (2020)
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Yoichi Matsuo, Yoshinobu Kawahara
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise. J. Mach. Learn. Res. 21 (2020)
Hiroki Ikeuchi, Jiawen Ge, Yoichi Matsuo, Keishiro Watanabe
A Framework for Automatic Failure Recovery in ICT Systems by Deep Reinforcement Learning. ICDCS (2020)
Hiroki Ikeuchi, Akio Watanabe, Tsutomu Hirao, Makoto Morishita, Masaaki Nishino, Yoichi Matsuo, Keishiro Watanabe
Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning. NOMS (2020)
Yoichi Matsuo, Tatsuaki Kimura, Ken Nishimatsu
DeepSIP: A System for Predicting Service Impact of Network Failure by Temporal Multimodal CNN. NOMS (2020)
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Yoichi Matsuo, Yoshinobu Kawahara
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise. CoRR (2019)
Akio Watanabe, Keisuke Ishibashi, Tsuyoshi Toyono, Keishiro Watanabe, Tatsuaki Kimura, Yoichi Matsuo, Kohei Shiomoto, Ryoichi Kawahara
Workflow Extraction for Service Operation Using Multiple Unstructured Trouble Tickets. IEICE Trans. Inf. Syst. (4) (2018)
Yoichi Matsuo, Yuusuke Nakano, Akio Watanabe, Keishiro Watanabe, Keisuke Ishibashi, Ryoichi Kawahara
Root-Cause Diagnosis for Rare Failures Using Bayesian Network with Dynamic Modification. ICC (2018)
Akio Watanabe, Keisuke Ishibashi, Tsuyoshi Toyono, Tatsuaki Kimura, Keishiro Watanabe, Yoichi Matsuo, Kohei Shiomoto
Workflow extraction for service operation using multiple unstructured trouble tickets. NOMS (2016)
Yoichi Matsuo, Hua Guo, Peter Arbenz
Experiments on a Parallel Nonlinear Jacobi-Davidson Algorithm. ICCS (2014)