Auflistung nach Klassifikation (DDC) "ddc:004"
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Analysis of Biological Screening Data and Molecular Selectivity Profiles Using Fingerprints and Mapping Algorithms
Vogt, Ingo (2008)<p>The identification of promising drug candidates is a major milestone in the early stages of drug discovery and design. Among the properties that have to be optimized before a drug candidate is admitted to clinical ... 
Analysis of Random Fragment Profiles for the Detection of StructureActivity Relationships
Batista, José (2008)Substructure or fragmenttype descriptors are effective and widely used tools for chemical similarity searching and other applications in chemoinformatics and computeraided drug discovery. Therefore, a large number of ... 
Analysis of Trajectories by Preserving Structural Information
Jawad, Ahmed (20120718)The analysis of trajectories from traffic data is an established and yet fast growing area of research in the related fields of Geoanalytics and Geographic Information Systems (GIS). It has a broad range of applications ... 
Analytic and Learned Footstep Control for Robust Bipedal Walking
Missura, Marcell (20160224)Bipedal walking is a complex, balancecritical wholebody motion with inherently unstable inverted pendulumlike dynamics. Strong disturbances must be quickly responded to by altering the walking motion and placing the ... 
Analytic Bipedal Walking with Fused Angles and Corrective Actions in the Tilt Phase Space
Allgeuer, Philipp (20201215)As humanoid robots start to move from research labs to workplace environments and homes, the topic of how they should best and most reliably locomote in the face of unknown disturbances will be a topic of increasing ... 
Annual Report for 2014
Prager, Christian M.; Diederichs, Katja; Gronemeyer, Sven; Wagner, Elisabeth; Brodhun, Maximilian; Diehr, Franziska; Maier, Petra; Grube, Nikolai (20141219)The incompletely deciphered hieroglyphic script and language of the Maya constitutes the primary focus of the research project under discussion here, which is being carried out cooperatively by the Universities of Bonn and ... 
Annual Report for 2015
Grube, Nikolai; Prager, Christian M.; Diederichs, Katja; Gronemeyer, Sven; Wagner, Elisabeth; Brodhun, Maximilian; Diehr, Franziska (20160329)The only partially deciphered Maya hieroglyphic script and language constitute the primary focus of this research project, which has been carried out cooperatively by the University of Bonn and the Göttingen State and ... 
Appearance Preserving Rendering of OutofCore Polygon and NURBS Models
Guthe, Michael (2005)In Computer Aided Design (CAD) trimmed NURBS surfaces are widely used due to their flexibility. For rendering and simulation however, piecewise linear representations of these objects are required. A relatively new field ... 
Application and Development of Computational Methods for LigandBased Virtual Screening
Heikamp, Kathrin (20140520)The detection of novel active compounds that are able to modulate the biological function of a target is the primary goal of drug discovery. Different screening methods are available to identify hit compounds having the ... 
An Approach for Collaborative Ontology Development in Distributed and Heterogeneous Environments
Halilaj, Lavdim (20190125)The era of digitalization poses high demands on capturing and processing knowledge generated in everyday life in formal models. Ontologies provide common means for formal knowledge capturing and modeling for a universe of ... 
Approaching Partial Differential Equations with PhysicsDriven Deep Learning
Wandel, Nils (20231214)Partial Differential Equations (PDEs) play an important role in describing continuous physical systems such as fluids, airflows, waves and many more. Thus, by solving these equations, one can simulate smoke and water ... 
Approximability of Combinatorial Optimization Problems on Power Law Networks
Gast, Mikael (20131030)One of the central parts in the study of combinatorial optimization is to classify the NPhard optimization problems in terms of their approximability. In this thesis we study the Minimum Vertex Cover (MinVC) problem and ... 
Approximate Inference Applications to Representation Learning and Stochastic Processes Problems
Ojeda Marin, César Ali (20210407)The present dissertation dwells in the development of inference algorithms and methodologies for the study of dynamical datasets. We developed techniques to analyze timeseries datasets for point processes, switching ... 
Approximation Complexity of Optimization Problems: Structural Foundations and Steiner Tree Problems
Hauptmann, Mathias (2004)In this thesis we study the approximation complexity of the Steiner Tree Problem and related problems as well as foundations in structural complexity theory. The Steiner Tree Problem is one of the most fundamental problems ... 
Approximations for Hierarchical and LowerBounded Clustering and the Complexity of MinimumError Triangulation
Arutyunova, Anna (20240328)Clustering deals with the problem of ﬁnding structures in data. Given a number k we search for a good partition of a set of data points into at most k sets, where the sets of the partition are called clusters. In the ... 
Articulated Human Pose Estimation in Unconstrained Images and Videos
Iqbal, Umar (20181212)The understanding of the articulated human body pose is of great interest in many scenarios. While humans have an unmatched ability to effortlessly extract and interpret such information in any unconstrained environment, ... 
Attributierte Grammatiken zur Rekonstruktion und Interpretation von Fassaden
Schmittwilken, Jörg (20120319)Dem Bedarf und Nutzen hoch detaillierter 3DStadt und Gebäudemodelle steht deren aufwendige Erfassung gegenüber. Ist die automatische Ableitung vereinfachter Dachstrukturen aus Luftbildern oder Laseraltimetrie weitestgehend ... 
Audio Embeddings for SemiSupervised Anomalous Sound Detection
Wilkinghoff, Kevin (20240903)Detecting anomalous sounds is a difficult task: First, audio data is very highdimensional and anomalous signal components are relatively subtle in relation to the entire acoustic scene. Furthermore, normal and anomalous ... 
Automated analysis of flow cytometry using deep learning for the detection of Bcell neoplasms
Mallesh, Nanditha (20230721)Bcell neoplasms are the most prevalent type of nonHodgkin lymphoma, including a diverse and heterogenous group of entities. Immunophenotyping with a highthroughput technology like flow cytometry is a standard diagnostic ... 
Automated Optimization Methods for Scientific Workflows in eScience Infrastructures
Holl, Sonja (20140422)Scientific workflows have emerged as a key technology that assists scientists with the design, management, execution, sharing and reuse of in silico experiments. Workflow management systems simplify the management of ...