E-Dissertationen: Suche
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Knowledge Extraction Methods for the Analysis of Contractual Agreements
(2021-11-18)
The ubiquitous availability of the Internet results in a massive number of apps, software, and online services with accompanying contractual agreements in the form of ‘end-user license agreement’ and ‘privacy policy’. Often ...
Evolution of the Activity Cliff Concept and Practical Implications for Compound Design
(2021-07-22)
Entering the “big data” era, a number of different research areas have witnessed an enormous increase in data at an exponential rate. For drug discovery, various publicly available protein structure and compound bioactivity ...
Computer Assisted Diagnosis in PET/CT: Machine Learning for Prognosis in Oncological Patients
(2022-03-29)
Artificial intelligence (AI) has revolutionised problem solving in a wide range of industrial as well as research domains. Particularly, computer-aided diagnosis (CAD) and clinical decision support systems (CDSSs) as ...
Knowledge-aided Sensor Data Processing for Maritime Situational Awareness
(2021-10-05)
The research work focuses on the development of innovative sensor data processing techniques for traffic surveillance, which aim at improving the performance yielded by state-of-the-art tracking solutions when a dynamically ...
Pattern Recognition in Intracranial EEG Signals and Prediction of Memory
(2021-03-12)
This thesis presents a method for pattern recognition in neurocognitive data, in particular intracranial electroencephalographic (iEEG) data. The approach aims to reveal mechanisms underlying cognitive processes. This means ...
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 ...
Deep Learning Methods for Semantic Parsing and Question Answering over Knowledge Graphs
(2022-05-20)
Recently, the advances in deep learning have lead to a surge in research on semantic parsing and question answering over knowledge graphs (KGQA). Significant improvements in these fields and in natural language processing ...
Semantic Digital Twins in the Industrial Internet of Things
(2022-06-20)
The seamless connection of control devices, physical assets, and IT systems through internet-based networks is one of the current megatrends. Especially the manufacturing industry experiences disruptive changes in how ...
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 ...