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Yoichi Matsuo
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Journal Articles
- 2023
- [j4]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): 827-836 (2023) - 2021
- [j3]Yoichi Matsuo, Tatsuaki Kimura, Ken Nishimatsu:
DeepSIP: A System for Predicting Service Impact of Network Failure by Temporal Multimodal CNN. IEICE Trans. Commun. 104-B(10): 1288-1298 (2021) - 2020
- [j2]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: 172:1-172:29 (2020) - 2018
- [j1]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. 101-D(4): 1030-1041 (2018)
Conference and Workshop Papers
- 2023
- [c14]Yoichi Matsuo:
Empirical Analysis of the Fine-Tuning for Unsupervised Anomaly Detection in the ICT System. CNSM 2023: 1-7 - [c13]Yoichi Matsuo, Yuusuke Nakano, Keishiro Watanabe:
CMRCV: Causal Modeling to Localize Failed Equipment by Representative Nodes and Contribution Values. ICNC 2023: 403-408 - [c12]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: 1-5 - [c11]Jatinder Singh, Shantanu Verma, Yoichi Matsuo, Francesca Fossati, Guillaume Fraysse:
Autoscaling Packet Core Network Functions with Deep Reinforcement Learning. NOMS 2023: 1-6 - 2022
- [c10]Kengo Tajiri, Ryoichi Kawahara, Yoichi Matsuo:
Optimizing Edge-Cloud Cooperation for Machine Learning Accuracy Considering Transmission Latency and Bandwidth Congestion. NOMS 2022: 1-9 - 2021
- [c9]Yoichi Matsuo, Daisuke Ikegami:
Performance Analysis of Anomaly Detection Methods for Application System on Kubernetes with Auto-scaling and Self-healing. CNSM 2021: 464-472 - [c8]Kengo Tajiri, Tomoharu Iwata, Yoichi Matsuo, Keishiro Watanabe:
Fault Detection of ICT systems with Deep Learning Model for Missing Data. IM 2021: 445-451 - [c7]Yoichi Matsuo, Kazuhisa Yamagishi, Shoko Takahashi:
Shapley-value-based Quality Degradation Analysis Method for Adaptive Bitrate Streaming Services. MMSP 2021: 1-6 - 2020
- [c6]Hiroki Ikeuchi, Jiawen Ge, Yoichi Matsuo, Keishiro Watanabe:
A Framework for Automatic Failure Recovery in ICT Systems by Deep Reinforcement Learning. ICDCS 2020: 1310-1315 - [c5]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: 1-6 - [c4]Yoichi Matsuo, Tatsuaki Kimura, Ken Nishimatsu:
DeepSIP: A System for Predicting Service Impact of Network Failure by Temporal Multimodal CNN. NOMS 2020: 1-6 - 2018
- [c3]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: 1-6 - 2016
- [c2]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: 652-658 - 2014
- [c1]Yoichi Matsuo, Hua Guo, Peter Arbenz:
Experiments on a Parallel Nonlinear Jacobi-Davidson Algorithm. ICCS 2014: 565-575
Informal and Other Publications
- 2020
- [i3]Yoichi Matsuo, Tatsuaki Kimura, Ken Nishimatsu:
DeepSIP: A System for Predicting Service Impact of Network Failure by Temporal Multimodal CNN. CoRR abs/2003.10643 (2020) - [i2]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 abs/2003.10784 (2020) - 2019
- [i1]Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Yoichi Matsuo, Yoshinobu Kawahara:
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise. CoRR abs/1909.03634 (2019)
Coauthor Index
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