Tax risk behavior causes serious loss of fiscal revenue, damages the country's public
infrastructure, and disturbs the market economic order of fair competition. In recent years, tax …

Anomaly detection in Aviation CPS is critical to ensuring safety and reliability. This
systematic literature review explores the landscape of machine learning techniques used for …

Through extensive experience develo** and explaining machine learning (ML)
applications for real-world domains, we have learned that ML models are only as …

The detection of anomalies in time series data is a critical task with many monitoring
applications. Existing systems often fail to encompass an end-to-end detection process, to …

Experts in racket sports like tennis and badminton use tactical analysis to gain insight into
competitors' playing styles. Many data-driven methods apply pattern mining to racket sports …

Abstract The field of Deep Visual Analytics (DVA) has recently arisen from the idea of
develo** Visual Interactive Systems supported by deep learning, in order to provide them …

Anomalies are often indicators of malfunction or inefficiency in various systems such as
manufacturing, healthcare, finance, surveillance, to name a few. While the literature is …

Detecting rare events is essential in various fields, eg, in cyber security or maintenance.
Often, human experts are supported by anomaly detection systems as continuously …

Satellite telemetry data is a special case of multivariate time series characterized by large
volumes (in terms of both the number of series and samples), varying sampling rates …

The detection, description and understanding of anomalies in multivariate time series data is
an important task in several industrial domains. Automated data analysis provides many …