E-Dissertationen: Search
Now showing items 1-9 of 9
Analysis of Trajectories by Preserving Structural Information
(2012-07-18)
The analysis of trajectories from traffic data is an established and yet fast growing area of research in the related fields of Geo-analytics and Geographic Information Systems (GIS). It has a broad range of applications ...
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 ...
Development and Interpretation of Machine Learning Models for Drug Discovery
(2015-11-19)
In drug discovery, domain experts from different fields such as medicinal chemistry, biology, and computer science often collaborate to develop novel pharmaceutical agents. Computational models developed in this process ...
Automated Source Extraction for the Next Generation of Neutral Hydrogen Surveys
(2015-12-23)
This thesis is a first step to develop the necessary tools to automatically extract and parameterize sources from future HI surveys with ASKAP, WSRT/Apertif, and SKA.
The current approach to large-scale HI surveys, ...
The current approach to large-scale HI surveys, ...
Black-Box Parallelization for Machine Learning
(2019-10-30)
The landscape of machine learning applications is changing rapidly: large centralized datasets are replaced by high volume, high velocity data streams generated by a vast number of geographically distributed, loosely ...
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. ...