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K. Ishibashi

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • cs.DC1
same name
  • K. Ishibashi — 16 papers, h 28
  • K. Ishibashi — 7 papers, h 26
  • K. Ishibashi — 5 papers, h 4
  • K. Ishibashi — 5 papers
  • K. Ishibashi — 4 papers
  • K. Ishibashi — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedEstimation of Dimensions Contributing to Detected Anomalies with Variational Autoencoders

9 citations · 18 across the 3 of their papers we have counts for

collaborators

3 papers

cs.DC2019

Extendable NFV-Integrated Control Method Using Reinforcement Learning

Akito Suzuki, Ryoichi Kawahara, Masahiro Kobayashi +3

Network functions virtualization (NFV) enables telecommunications service providers to realize various network services by flexibly combining multiple virtual network functions (VN…

stat.ML2018★ 9 cited

Estimation of Dimensions Contributing to Detected Anomalies with Variational Autoencoders

Yasuhiro Ikeda, Kengo Tajiri, Yuusuke Nakano +2

Anomaly detection using dimensionality reduction has been an essential technique for monitoring multidimensional data. Although deep learning-based methods have been well studied f…

stat.ML2018★ 9 cited

Anomaly Detection and Interpretation using Multimodal Autoencoder and Sparse Optimization

Yasuhiro Ikeda, Keisuke Ishibashi, Yuusuke Nakano +2

Automated anomaly detection is essential for managing information and communications technology (ICT) systems to maintain reliable services with minimum burden on operators. For de…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.