Browsing by Subject "Machine Learning"
Now showing items 1-19 of 19
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Analysis of Trajectories by Preserving Structural Information
Jawad, Ahmed (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 ... -
Automated Source Extraction for the Next Generation of Neutral Hydrogen Surveys
Flöer, Lars (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.<br /> The current approach to large-scale HI surveys, ... -
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 ... -
Deep Representation Learning for Analyzing Financial and Cybersecurity Data
Biesner, David (2024-06-19)Recent years have shown a surge in the capability of deep learning models for various domains of interest and different types of data. Machine learning models are now capable of understanding, categorizing and generating ... -
Development and Interpretation of Machine Learning Models for Drug Discovery
Balfer, Jenny (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 ... -
Entwicklung eines automatisierten Wolkendetektions- und Wolkenklassifizierungsverfahrens mit Hilfe von Support Vector Machines angewendet auf METEOSAT-SEVIRI-Daten für den Raum Deutschland
Vogel, Rainer (2013-03-20)Wolken stellen im Klimasystem der Erde einen zentralen Faktor dar, nicht nur in Bezug auf die Niederschlagsverteilung, sondern auch in Verbindung mit Effekten auf Strahlungsvorgänge innerhalb der Atmosphäre. Eine genaue ... -
Error analysis of regularized and unregularized least-squares regression on discretized function spaces
Bohn, Bastian (2017-01-04)In this thesis, we analyze a variant of the least-squares regression method which operates on subsets of finite-dimensional vector spaces.<br /> In the first part, we focus on a regression problem which is constrained to ... -
Essays on the Use of Unstructured Data in Macroeconomics
Püttmann, Lukas Konstantin (2018-08-15)Economists need data to find patterns and test theories, but many concepts are hard to measure. This work contains three chapters showing how new unstructured data sources, such as text corpora, can be used to overcome ... -
Establishing blood-based classifiers for decentralized and privacy-preserving disease prediction
Warnat-Herresthal, Stefanie (2024-04-08)Big data is increasingly being generated across all sectors of medicine and high-dimensional omics data have been shown to be a powerful data space for AI applications that can assist in primary and differential diagnostics, ... -
Exploring Non-Equilibrium in Ultracold Fermi Gases and Machine Learning in Physics
Link, Martin (2021-05-21)This thesis covers two fields of research carried out in the context of ultracold Fermi gases: Non-equilibrium physics in the BEC-BCS crossover and the use of machine learning methods in physics. <br /> The BEC-BCS ... -
Foresighted Human-Aware Robot Navigation Based on Predicted Object-Interactions
Bruckschen, Lilli Ophelia (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 ... -
From Quantification of Activity Landscape Topographies to Activity Cliff Analysis: Image Analysis from a Chemical Informatics Perspective
Iqbal, Javed (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 ... -
Informed Machine Learning: Integrating Prior Knowledge into Data-Driven Learning Systems
von Rüden, Laura (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. ... -
Investigating Graph Representation Learning Methods For Link Prediction in Knowledge Graphs
Ali, Mehdi (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 ... -
Künstliche Intelligenz zur Computer-assistierten Diagnose in PSMA-PET/CT-Untersuchungen bei Prostatakarzinompatienten
Erle, Annette (2023-03-02)Der Stellenwert von Machine Learning im Kontext der klinischen Patientenversorgung nimmt stetig zu. Diese Arbeit beschäftigt sich mit der Frage, inwieweit ein Algorithmus in der Lage ist, mithilfe von maschinellem Lernen ... -
Market expectations, public information and uncertainty resolution in agricultural commodity and equity markets
Cao, Nguyen Que An (2023-12-14)The Efficient Market Hypothesis (EMH) states that price movements result from changes in market expectations when new information becomes available. This thesis focuses on such revisions of expectations around the releases ... -
Scalable Distributed Machine Learning for Knowledge Graphs
Draschner, Carsten Felix (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 ... -
Theoretical Studies of Nuclear Magnetic Resonance Chemical Shifts
Kleine Büning, Julius Benedikt (2024-05-21)Nuclear magnetic resonance (NMR) spectroscopy is among the most important analytical methods for the determination of the chemical structure of matter. Its versatile applicability leads to the necessity of reliable ... -
Zur Rolle der Flexionsmorphologie in der automatischen Klassifikation deutschsprachiger Textdokumente
Claeser, Daniel Benedikt (2022-12-08)Die Arbeit untersucht den Einfluss der Flexionsmorphologie der deutschen Sprache auf konventionelle und neuronale Verfahren zur automatischen Klassifikation von Texten. In einem ersten Schritt werden in den offenen Wortklassen ...