Search Results - "Watanabe, Keishiro"

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  1. 1

    Workflow extraction for service operation using multiple unstructured trouble tickets by Watanabe, Akio, Ishibashi, Keisuke, Toyono, Tsuyoshi, Kimura, Tatsuaki, Watanabe, Keishiro, Matsuo, Yoichi, Shiomoto, Kohei

    “…In current large scale networks, troubleshooting has become more complicated task due to the diversification in the causes of network failures. The increase in…”
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    Conference Proceeding Journal Article
  2. 2

    A Framework for Automatic Failure Recovery in ICT Systems by Deep Reinforcement Learning by Ikeuchi, Hiroki, Ge, Jiawen, Matsuo, Yoichi, Watanabe, Keishiro

    “…Because automatic recovery from failures is of great importance for future operations of ICT systems, we propose a framework for learning a recovery policy…”
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    Conference Proceeding
  3. 3

    Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems by Tajiri, Kengo, Ikeda, Yasuhiro, Nakano, Yuusuke, Watanabe, Keishiro

    “…Health monitoring is important for maintaining reliable information and communications technology (ICT) systems. Anomaly detection methods based on machine…”
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    Conference Proceeding
  4. 4

    Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning by Ikeuchi, Hiroki, Watanabe, Akio, Hirao, Tsutomu, Morishita, Makoto, Nishino, Masaaki, Matsuo, Yoichi, Watanabe, Keishiro

    “…With the increase in scale and complexity of ICT systems, their operation increasingly requires automatic recovery from failures. Although it has become…”
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    Conference Proceeding
  5. 5

    Root-Cause Diagnosis for Rare Failures Using Bayesian Network with Dynamic Modification by Matsuo, Yoichi, Nakano, Yuusuke, Watanabe, Akio, Watanabe, Keishiro, Ishibashi, Keisuke, Kawahara, Ryoichi

    “…We propose a root-cause diagnosis method for finding equipment suffering from rare failures in a communication network. Although many studies have been…”
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    Conference Proceeding
  6. 6

    CMRCV: Causal Modeling to Localize Failed Equipment by Representative Nodes and Contribution Values by Matsuo, Yoichi, Nakano, Yuusuke, Watanabe, Keishiro

    “…Researchers have proposed causal model-based methods to localize failed equipment in an information and communication technology (ICT) system using various…”
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    Conference Proceeding
  7. 7

    A Method of Delivering Fuel to Telecommunication Exchange Buildings in Disaster Response by Wang, Zhao, Nakano, Yuusuke, Watanabe, Keishiro, Nishimatsu, Ken

    “…In this paper, we propose a data-driven and end-to- end deep reinforcement learning-based method for delivering fuel to telecommunication exchange buildings…”
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    Conference Proceeding
  8. 8

    Fault Detection of ICT systems with Deep Learning Model for Missing Data by Tajiri, Kengo, Iwata, Tomoharu, Matsuo, Yoichi, Watanabe, Keishiro

    “…Fault detection is one of the most important tasks in information and communications technology (ICT) systems. Unsupervised anomaly detection methods, which…”
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    Conference Proceeding
  9. 9

    Proposal of new QoE assessment approach for quality management of IPTV services by Watanabe, K., Yamagishi, K., Okamoto, J., Takahashi, A.

    “…IPTV services are attracting attention as an influential application of the next-generation network (NGN). Managing in-service communication quality based on…”
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    Conference Proceeding
  10. 10

    Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems by Tajiri, Kengo, Ikeda, Yasuhiro, Nakano, Yuusuke, Watanabe, Keishiro

    Published 24-03-2020
    “…Health monitoring is important for maintaining reliable information and communications technology (ICT) systems. Anomaly detection methods based on machine…”
    Get full text
    Journal Article
  11. 11

    Anomaly Detection and Interpretation using Multimodal Autoencoder and Sparse Optimization by Ikeda, Yasuhiro, Ishibashi, Keisuke, Nakano, Yuusuke, Watanabe, Keishiro, Kawahara, Ryoichi

    Published 17-12-2018
    “…Automated anomaly detection is essential for managing information and communications technology (ICT) systems to maintain reliable services with minimum burden…”
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    Journal Article
  12. 12

    Estimation of Dimensions Contributing to Detected Anomalies with Variational Autoencoders by Ikeda, Yasuhiro, Tajiri, Kengo, Nakano, Yuusuke, Watanabe, Keishiro, Ishibashi, Keisuke

    Published 12-11-2018
    “…AAAI-19 Workshop on Network Interpretability for Deep Learning, 2019 Anomaly detection using dimensionality reduction has been an essential technique for…”
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    Journal Article
  13. 13

    Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning by Ikeuchi, Hiroki, Watanabe, Akio, Hirao, Tsutomu, Morishita, Makoto, Nishino, Masaaki, Matsuo, Yoichi, Watanabe, Keishiro

    Published 24-03-2020
    “…With the increase in scale and complexity of ICT systems, their operation increasingly requires automatic recovery from failures. Although it has become…”
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    Journal Article
  14. 14

    No reference video-quality-assessment model for video streaming services by Kawano, T, Yamagishi, K, Watanabe, K, Okamoto, J

    “…We propose a no reference video-quality-assessment model for estimating the quality of experience (QoE) of video streaming services using quality features…”
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    Conference Proceeding
  15. 15

    HDTV objective video quality assessment method applying fuzzy measure by Okamoto, J., Watanabe, K., Honda, A., Uchida, M., Hangai, S.

    “…High definition television (HDTV) video delivery services over IP networks have recently started. To make the delivered high-quality HDTV video comfortable to…”
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    Conference Proceeding