Abstract With the advent of Industry 4.0, increasing amounts data on operational processes (e.g., manufacturing processes) become available. These can involve hundreds different materials for a relatively small number manufactured special-purpose machines rendering classical process discovery and analysis techniques infeasible. However, in contrast to most standard business processes, additiona...

Data preparation is a critical step for any machine learning experiment. We have analyzed dataset derived from images of human male lung cancer tumors. These tumors had been with genetic markers to identify Y-chromosome loss, which was the case in about half samples. Whole slide (WSI) collected and H&E stained by collaborators. processed CellProfiler software extract numeric features. In th...