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Keishiro Watanabe
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2020 – today
- 2023
- [c10]Yoichi Matsuo
, Yuusuke Nakano, Keishiro Watanabe:
CMRCV: Causal Modeling to Localize Failed Equipment by Representative Nodes and Contribution Values. ICNC 2023: 403-408 - 2021
- [c9]Zhao Wang, Yuusuke Nakano, Keishiro Watanabe, Ken Nishimatsu:
A Method of Delivering Fuel to Telecommunication Exchange Buildings in Disaster Response. ICAIIC 2021: 375-380 - [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 - 2020
- [c7]Hiroki Ikeuchi, Jiawen Ge, Yoichi Matsuo
A Framework for Automatic Failure Recovery in ICT Systems by Deep Reinforcement Learning. ICDCS 2020: 1310-1315 - [c6]Hiroki Ikeuchi, Akio Watanabe, Tsutomu Hirao, Makoto Morishita, Masaaki Nishino, Yoichi Matsuo
Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning. NOMS 2020: 1-6 - [c5]Kengo Tajiri, Yasuhiro Ikeda, Yuusuke Nakano, Keishiro Watanabe:
Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems. NOMS 2020: 1-5 - [i4]Kengo Tajiri, Yasuhiro Ikeda, Yuusuke Nakano, Keishiro Watanabe:
Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems. CoRR abs/2003.10783 (2020) - [i3]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)
2010 – 2019
- 2018
- [j1]Akio Watanabe, Keisuke Ishibashi, Tsuyoshi Toyono, Keishiro Watanabe, Tatsuaki Kimura, Yoichi Matsuo
Workflow Extraction for Service Operation Using Multiple Unstructured Trouble Tickets. IEICE Trans. Inf. Syst. 101-D(4): 1030-1041 (2018) - [c4]Yoichi Matsuo
Root-Cause Diagnosis for Rare Failures Using Bayesian Network with Dynamic Modification. ICC 2018: 1-6 - [i2]Yasuhiro Ikeda, Kengo Tajiri, Yuusuke Nakano, Keishiro Watanabe, Keisuke Ishibashi:
Estimation of Dimensions Contributing to Detected Anomalies with Variational Autoencoders. CoRR abs/1811.04576 (2018) - [i1]Yasuhiro Ikeda, Keisuke Ishibashi, Yuusuke Nakano, Keishiro Watanabe, Ryoichi Kawahara:
Anomaly Detection and Interpretation using Multimodal Autoencoder and Sparse Optimization. CoRR abs/1812.07136 (2018) - 2016
- [c3]Akio Watanabe, Keisuke Ishibashi, Tsuyoshi Toyono, Tatsuaki Kimura, Keishiro Watanabe, Yoichi Matsuo
Workflow extraction for service operation using multiple unstructured trouble tickets. NOMS 2016: 652-658
2000 – 2009
- 2008
- [c2]Keishiro Watanabe, Kazuhisa Yamagishi, Jun Okamoto, Akira Takahashi:
Proposal of new QoE assessment approach for quality management of IPTV services. ICIP 2008: 2060-2063 - 2007
- [c1]Jun Okamoto, Keishiro Watanabe, Takaaki Kurita:
Objective video quality assessment method for video streams spatially distorted by coding and packet loss. SIP 2007: 264-269
Coauthor Index
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