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Generation and Applications of Knowledge Graphs in Systems and Networks Biology 

Hoyt, Charles Tapley (2019-12-16)
The acceleration in the generation of data in the biomedical domain has necessitated the use of computational approaches to assist in its interpretation. However, these approaches rely on the availability of high quality, ...
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Fast diffusion MRI based on sparse acquisition and reconstruction for long-term population imaging 

Koch, Alexandra (2019-11-21)
Diffusion weighted magnetic resonance imaging (dMRI) is a unique MRI modality to probe the diffusive molecular transport in biological tissue. Due to its noninvasiveness and its ability to investigate the living human brain ...
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Semantic Segmentation and Completion of 2D and 3D Scenes 

Garbade, Martin (2019-11-28)
Semantic segmentation is one of the fundamental problems in computer vision. This thesis addresses various tasks, all related to the fine-grained, i.e. pixel-wise or voxel-wise, semantic understanding of a scene. In the ...
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New Results on the Probabilistic Analysis of Online Bin Packing and its Variants 

Fischer, Carsten Oliver (2019-12-03)
The classical bin packing problem can be stated as follows: We are given a multiset of items {a1, ..., an} with sizes in [0,1], and want to pack them into a minimum number of bins, each of which with ......
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Strategies for the intelligent integration of genetic variance information in multiscale models of neurodegenerative diseases 

Naz, Mufssra (2019-07-18)
A more complete understanding of the genetic architecture of complex traits and diseases can maximize the utility of human genetics in disease screening, diagnosis, prognosis, and therapy. Undoubtedly, the identification ...
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Black-Box Parallelization for Machine Learning 

Kamp, Michael (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 ...
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Constrained Clustering Problems and Parity Games 

Rösner, Clemens (2019-10-23)
Clustering is a fundamental tool in data mining. It partitions points into groups (clusters) and may be used to make decisions for each point based on its group. We study several clustering objectives. We begin with studying ......
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Automating the Fact-Checking Task: Challenges and Directions 

Nascimento Esteves da Silva, Diego (2019-07-30)
In recent years, misinformation has caused widespread alarm and has become a global concern, given the negative impact placed on society, democratic institutions and even computing systems whose the primary objective is ......
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Constraint-based automated reconstruction of grape bunches from 3D range data for high-throughput phenotyping 

Mack, Jennifer (2019-10-25)
With increasing global population, the resources for agriculture required to feed the growing number of people are becoming scarce. Estimates expect that by 2050, 60 % more food will be necessary. Nowadays, 70 % of fresh ...
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Light Propagation in Digital Material Structures 

Velinov, Zdravko (2019-03-26)
Light takes many paths throughout the physical environment, defined by a multitude of interactions with matter, before reaching an imaging sensor or the human eye and thus forming the visual perception of the world. ...
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AuthorAhmad, Ashar (1)Ankele, Michael Peter (1)Collarana Vargas, Diego (1)Domingo Fernández, Daniel (1)Fischer, Carsten Oliver (1)Galkin, Mikhail (1)Garbade, Martin (1)Grangel-González, Irlán (1)Halilaj, Lavdim (1)Hoyt, Charles Tapley (1)... View MoreSubjectMaschinelles Lernen (2)Robotik (2)Semantic Web (2)action detection (1)action segmentation (1)AI (1)Algorithmen (1)Algorithms (1)approximation algorithm (1)Approximationsalgorithmen (1)... View MoreClassification (DDC)
004 Informatik (28)
500 Naturwissenschaften (3)530 Physik (1)580 Pflanzen (Botanik) (1)610 Medizin, Gesundheit (1)... View MoreResource TypeDissertation oder Habilitation (28)... View MoreDate Issued
2019 (28)

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