1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.SP2020
Anomaly Detection using Deep Autoencoders for in-situ Wastewater Systems Monitoring Data
Stefania Russo, Andy Disch, Frank Blumensaat +1
Due to the growing amount of data from in-situ sensors in wastewater systems, it becomes necessary to automatically identify abnormal behaviours and ensure high data quality. This…
stat.AP2019★ 1 cited
Automatic dimensionality selection for principal component analysis models with the ignorance score
Stefania Russo, Guangyu Li, Kris Villez
Principal component analysis (PCA) is by far the most widespread tool for unsupervised learning with high-dimensional data sets. Its application is popularly studied for the purpos…