E-Dissertationen: Suche
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Scalable Distributed Machine Learning for Knowledge Graphs
(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 ...
Physically Based Modeling of Micro-Appearance
(2023-07-11)
This dissertation addresses the challenges of creating photorealistic images by focusing on generating and rendering microscale details and irregularities, because a lack of such imperfections is usually the key aspect of ...
Utilization of Reconstructive Representation Learning for Robust Classification
(2023-07-20)
Deep neural networks (DNNs) are generally trained via empirical risk minimization (ERM) on classification tasks. While this has lead to impressive results in scientific benchmarks, as well as, industrial applications, it ...
Automatic Evaluation of Dialogue-Systems Using Neural-Network Methods
(2023-06-05)
We usually interact with computers by means of specialized tools that are not as common as the language humans use. This has motivated researchers for already several decades to develop algorithms that enable interfacing ...
Advancing Knowledge-Enhanced Conversational Systems Leveraging Language Models
(2023-09-18)
Large language models empowering recent conversational systems such as Alexa and Siri require external knowledge to generate informative and accurate dialogues. The knowledge may be provided in structured or unstructured ...
Practical Models for Sequential Decision Making in Natural Language Processing and Reinforcement Learning
(2023-11-17)
This thesis focuses on sequential decision and prediction (SDP) tasks, comprising structured prediction (SP) and reinforcement learning (RL) tasks. These tasks are characterized by generation of sequential outputs that ......
Informed Machine Learning: Integrating Prior Knowledge into Data-Driven Learning Systems
(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. ...
Explainable Resource-Aware Representation Learning via Semantic Similarity
(2023-12-12)
The rapid advancement of artificial intelligence (AI) systems in recent years is largely due to the impressive capabilities of artificial neural networks. Their powerful capabilities in natural language understanding and ...
Approaching Partial Differential Equations with Physics-Driven Deep Learning
(2023-12-14)
Partial Differential Equations (PDEs) play an important role in describing continuous physical systems such as fluids, air-flows, waves and many more. Thus, by solving these equations, one can simulate smoke and water ...
Maßgeschneiderte nutzbarkeitserhaltende Pseudonymisierung: Anforderungen, Beschreibung, Umsetzung
(2023-01-30)
Die Verarbeitung personenbezogener Daten ist omnipräsent. Um die Privatsphäre und die informationelle Selbstbestimmung der Betroffenen zu achten, ist das Ergreifen von Maßnahmen zum Schutze der Vertraulichkeit der Daten ...