Recent progress in artificial intelligence and machine learning has led to the growth of
research in every aspect of life including the health care domain. However, privacy risks and …

Recently, an abundant amount of urban vehicle trajectory data has been collected in road
networks. Many studies have used machine learning algorithms to analyze patterns in …

The testing is an integral part of the software development. At the same time, the manual
creation of individu-al test cases is a lengthy and error-prone process. Hence, an intensive …

AI-based data synthesis has seen rapid progress over the last several years and is
increasingly recognized for its promise to enable privacy-respecting high-fidelity data …

Recent developments in mmWave technology allow the detection and classification of
dynamic arm gestures. However, achieving a high accuracy and generalization requires a …

This paper presents a retrospective overview of a decade of research in our department
towards self-organizing personal knowledge assistants in evolving corporate memories. Our …

Data generators are applications that produce synthetic datasets, which are useful for testing
data analytics applications, such as machine learning algorithms and information …

This study proposes a novel method for evaluating and comparing recommender systems
using synthetic user and item data and parametric synthetic user-item response (rating) …

Abstract Context: The Data Stream Processing (DSP) approach focuses on real-time data
processing by applying specific techniques for capturing and processing relevant data for on …

Millimeter-wave (mm-wave) radar technology has become a popular choice for collecting
vehicle trajectory data. However, the high cost of deploying these radars densely has …