The Faculty of Mathematics and Natural Sciences: Search
Now showing items 11-20 of 24
Theoretical Analysis of Hierarchical Clustering and the Shadow Vertex Algorithm
(2020-05-05)
Agglomerative clustering (AC) is a very popular greedy method for computing hierarchical clusterings in practice, yet its theoretical properties have been studied relatively little. We consider AC with respect to the most ...
Federated Query Processing over Heterogeneous Data Sources in a Semantic Data Lake
(2020-05-05)
Data provides the basis for emerging scientific and interdisciplinary data-centric applications with the potential of improving the quality of life for citizens. Big Data plays an important role in promoting both manufacturing ...
Machine Learning to Elucidate Mechanisms of Human Cognition and Epilepsy
(2020-11-25)
Machine learning approaches, a branch of computer science based on the study of complex statistical algorithms, help researchers predict and discover facts about the outside world that may otherwise be too latent and ...
People-Tracking-Verfahren zur autonomen Identifikation und Begleitung von Personen durch mobile Roboter
(2020-08-06)
Die vorliegende Arbeit untersucht die Verfolgung, d.h. die kontinuierliche Schätzung der Position von sich bewegenden Objekten, insbesondere von Personen, in der Umgebung eines mobilen Roboters durch diesen selbst mit Hilfe ...
Towards Semantic Integration of Supply Chain and Production Data
(2020-11-06)
Data is a critical ingredient for many analyses. Its recent exponential growth allowed utilizing computers to solve previously considered hard problems. For organizations and entire economies, being able to solve harder ...
Revealing the Invisible: On the Extraction of Latent Information from Generalized Image Data
(2020-01-08)
The desire to reveal the invisible in order to explain the world around us has been a source of impetus for technological and scientific progress throughout human history. Many of the phenomena that directly affect us ...
Efficient Distributed In-Memory Processing of RDF Datasets
(2020-10-27)
Over the past decade, vast amounts of machine-readable structured information have become available through the automation of research processes as well as the increasing popularity of knowledge graphs and semantic ...
Machine Learning Methodologies for Interpretable Compound Activity Predictions
(2020-02-26)
Machine learning (ML) models have gained attention for mining the pharmaceutical data that are currently generated at unprecedented rates and potentially accelerate the discovery of new drugs. The advent of deep learning ...
Multivariate Correlation Analysis for Supervised Feature Selection in High-Dimensional Data
(2020-03-12)
The main theme of this dissertation focuses on multivariate correlation analysis on different data types and we identify and define various research gaps in the same. For the defined research gaps we develop novel techniques ...
Planning Hybrid Driving-Stepping Locomotion for Ground Robots in Challenging Environments
(2020-02-10)
Ground robots capable of navigating a wide range of terrains are needed in several domains such as disaster response or planetary exploration. Hybrid driving-stepping locomotion is promising since it combines the complementary ...