E-Dissertationen: Search
Now showing items 1-5 of 5
Foresighted Human-Aware Robot Navigation Based on Predicted Object-Interactions
(2020-11-02)
Since the beginning of the digital revolution robots have become an increasingly important part of modern live. Until recently, this trend was primarily observable in industrial robots, however, with the success of the ...
From Quantification of Activity Landscape Topographies to Activity Cliff Analysis: Image Analysis from a Chemical Informatics Perspective
(2022-10-04)
Machine learning or multivariate statistical modeling is frequently applied in the chemical informatics domain to analyze the relationships between molecular structures and their target activities/properties. Structure-activity ...
Investigating Graph Representation Learning Methods For Link Prediction in Knowledge Graphs
(2023-11-03)
Knowledge Graphs (KGs) have become a fundamental approach to represent structured data and are employed in academic and industrial applications.
KGs are used in various machine learning applications, such as question ...
Scalable Distributed Machine Learning for Knowledge Graphs
(2023-07-17)
Due to the increasing progress of digitization, immense amounts of data are accumulating, which can be summarized under the term Big Data and form an exciting basis for data analyses. Since the data are heterogeneous and ...
Informed Machine Learning: Integrating Prior Knowledge into Data-Driven Learning Systems
(2023-11-14)
Machine Learning is an important method in Artificial Intelligence (AI). It has shown great success in building models for tasks like prediction or image recognition by learning from patterns in large amounts of data. ...