Digital twin (DT), referring to a promising technique to digitally and accurately represent
actual physical entities, has attracted explosive interests from both academia and industry …

Skin cancer is one of the top three perilous types of cancer caused by damaged DNA that
can cause death. This damaged DNA begins cells to grow uncontrollably and nowadays it is …

The imputation of missing values in multivariate time series (MTS) data is a critical step in
ensuring data quality and producing reliable data-driven predictive models. Apart from many …

Abstract Cox Proportional Hazards (CPH) analysis is the standard for survival analysis in
oncology. Recently, several machine learning (ML) techniques have been adapted for this …

With the increasing importance and complexity of data pipelines, data quality became one of
the key challenges in modern software applications. The importance of data quality has …

Machine learning is an established and frequently used technique in industry and
academia, but a standard process model to improve success and efficiency of machine …

Background: Alzheimer's is a degenerative dementing disorder that starts with a mild
memory impairment and progresses to a total loss of mental and physical faculties. The …

With the growing importance of machine learning (ML) algorithms for practical applications,
reducing data quality problems in ML pipelines has become a major focus of research. In …

The training, maintenance, deployment, monitoring, organization and documentation of
machine learning (ML) models–in short model management–is a critical task in virtually all …

The need for responsible data management intensifies with the growing impact of data on
society. One central locus of the societal impact of data are Automated Decision Systems …