To provide a reliable, low-cost screening model for preeclampsia, this study developed an
early screening model in a retrospective cohort (25,709 pregnancies) and validated in a …

To avoid detection, adversaries often use command-line obfuscation. There are numerous
techniques of the command-line obfuscation, all designed to alter the command-line syntax …

The prevalent imbalance can cause big data models to favor the common class, leading to
difficulties in identifying the minority value class, deteriorating their overall performance and …

Die zunehmende Komplexität der Daten stellt Unternehmen vor Herausforderungen bei der
Klassifikation von Multi-Class Imbalanced Data und der Interpretierbarkeit der dabei …

A proper input data representation is essential for the successful application of learning
models. While for homogeneous data like images, text, or sounds, end-to-end models …

This thesis explores the state-of-the-art in automated preprocessing for machine learning
(ML), focusing on addressing imbalanced datasets. It introduces a novel preprocessing …