9 citations · 18 across the 4 of their papers we have counts for
4 papers
Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning
Hiroki Ikeuchi, Akio Watanabe, Tsutomu Hirao +4
With the increase in scale and complexity of ICT systems, their operation increasingly requires automatic recovery from failures. Although it has become possible to automatically d…
Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems
Kengo Tajiri, Yasuhiro Ikeda, Yuusuke Nakano +1
Health monitoring is important for maintaining reliable information and communications technology (ICT) systems. Anomaly detection methods based on machine learning, which train a…
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…
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…