The Faculty of Mathematics and Natural Sciences: Search
Now showing items 1-10 of 30
Development of Computational Methods for Rationalizing Chemical Lead Optimization and Compound Design
(2021-09-22)
Chemical lead optimization (LO) plays an important role in pharmaceutical drug discovery. It represents a highly complex multi-objective process, in which the ultimate goal is to identify a suitable candidate molecule that ...
On the Localisation and Reconstruction of Structural Model Errors in Dynamic Systems
(2021-09-02)
Pursuing a deeper understanding of the behaviour of dynamic systems is a main task of modern sciences, from accurate weather forecasts to precise drug delivery, from electrical engineering to cell biology and the very ......
Frequency Domain Methods in Recurrent Neural Networks for Sequential Data Processing
(2021-07-29)
Machine learning algorithms now make it possible for computers to solve problems, which were thought to be impossible to automize. Neural Speech processing, convolutional neural networks, and other recent advances are ......
Maschinelle Lernalgorithmen erlauben es, Programme zu entwickeln, die Probleme lösen, die noch vor Kurzem für Computer als unlösbar galten. Fortschritte in der neuronalen Sprachverarbeitung, schnelle Faltungsnetze, und ......
Maschinelle Lernalgorithmen erlauben es, Programme zu entwickeln, die Probleme lösen, die noch vor Kurzem für Computer als unlösbar galten. Fortschritte in der neuronalen Sprachverarbeitung, schnelle Faltungsnetze, und ......
On Discrete and Geometric Firefighting
(2021-08-19)
Wildfires ravaging forests around the globe cost lives, homes and billions in damages every year, which motivates the study of effective firefighting. In the area of theoretical computer science, several different models ......
Knowledge Context for Entity and Relation Linking
(2021-10-28)
Knowledge graphs (KGs) are structures that provide a compendious representation of real world facts about entities and their relationships. The last decade has seen an increase in the number, size and application of knowledge ...
Multi-View Kernel Methods for Binding Affinity Prediction
(2021-09-27)
In the present thesis, we focus on the potential and limits of multi-view regression techniques in the field of ligand affinity prediction.
Multi-view learning (MVL) denotes machine learning approaches that utilise ...
Multi-view learning (MVL) denotes machine learning approaches that utilise ...
Comparative Analysis of Open Linked Fiscal Data
(2021-06-01)
The open data movement within public administrations has provided data regarding governance publicly. As public administrators and governments produce data and release the data as open data, the volume of the data is highly ...
On Supporting Interoperability between RDF and Property Graph Databases
(2021-05-18)
Over the last few years, the amount and availability of machine-readable Open, Linked, and Big data on the web has increased. Simultaneously, several data management systems have emerged to deal with the increased amounts ......
Behavioral Studies with IT-Administrators - Updating in Complex Environments and Securing Web Servers
(2021-03-25)
Up until the turn of the millennium, research in the field of IT security mainly focused on the technical aspects of security mechanisms. Since then, the human factor has become more and more important and sparked research ...
Learning Grasping and Walking Motion Generation for Humanoid Robots
(2021-04-30)
For acting in human-made scenarios, humanoid robots are undoubtedly the most versatile and flexible platforms among a vast number of available robotic systems. However, this versatility comes at the cost of complexity. ...