9 citations · 9 across the 1 of their papers we have counts for
2 papers
cs.NI2020
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…
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…