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Intern
    Data Science Chair

    Theses and Practica

    The following pages show open topics for practica, bachelor and master theses, sorted by research fields. We will be happy to provide information on further open topics upon request. Topics can be completed either in English or German.

    Open Topics

    06.09.2023 |

    Comparing Publication behavior in Germany

    Greetings prospective students, are you eager to dive into the fascinating world of scientific exploration? Well then, have I a project for you! I want to discover differences in research behavior in the German research landscape,… Mehr
    07.06.2023 |

    Data-efficient learning model on the intelligent bridge dataset

    As the state-of-the-art machine learning methods in many fields rely on larger datasets, storing datasets and training models on them becomes significantly more expensive. In the case of sensor-based monitoring of infrastructures,… Mehr
    07.06.2023 |

    Improved Identification of Brain Activity to Predict Human Intelligence by using Machine Learning

    Human intelligence is the best predictor of important life outcomes like educational and occupational success and even health and longevity. Mehr
    07.06.2023 |

    From Ancient to modern: Tackling the big scary world of database migration

    Greetings prospective students, do you have a passion for database updates? Well then, have I got a project for you! We need to modernize our ancient MySQL database powering the Website Bibsonomy, which contains over 200 GB of… Mehr
    07.06.2023 | Machine Learning Fundamentals

    Deep Metric Learning with Varying Similarity Definitions

    Deep Metric Learning (DML) trains a neural network that represents input data (e.g. images or texts) as an n-dimensional vector such that similar input items are close together in embedding space, while dissimilar items are… Mehr
    07.06.2023 |

    Deep Music Composition

    Recent transformer-based generative language models have achieved near human-like performance in generating natural text. In this work, the applicability of these models to deep music generation is investigated. Mehr
    05.06.2023 | Imbalanced Data

    Anomaly Detection and the modelling of normality

    Unter Anomaly Detection verstehen sich Data-Mining Methoden um seltene Ereignisse (Anomalien) zu finden, die sich vom Großteil der Daten unterscheiden. Mehr
    05.06.2023 | Physics & Deep Learning

    Agent-based Simulation of Business Processes

    Für viele Anwendungen, wie Fraud Detection oder Process Monitoring werden Log-Daten von Geschäftsprozessen benötigt, um Modelle zu trainieren. Obwohl diese in modernen ERP Systemen automatisch aufgezeichnet und ausgewertet werden,… Mehr
    05.06.2023 | Machine Learning Fundamentals, Imbalanced Data

    Understanding Neural Network Reasoning When Detecting Anomalies

    Neural networks offer strong performance in many application areas, but their reasoning is difficult to follow due to their complexity. Through the desire to understand the decision process of complex neural networks, explainable… Mehr
    05.06.2023 | Imbalanced Data

    Detecting Fraud in Company Data Sources

    Modern companies record large amounts of data regarding their daily workflow. While professional auditors regularly screen this data to find fraudulent abuse of company assets, the size of tracked data in companies is continously… Mehr
    05.06.2023 | Physics & Deep Learning

    Wettermodelierung mittels Graph Neural Networks

    In vielen Bereichen haben datengetriebene Modelierungsansätze, wie zum Beispiel Deep Learning, bewiesen, dass sie äußerst effizient und präzise sind. Im Bereich der Wettervorhersage zeigen sich hingegen die numerischen Ansätze… Mehr
    05.06.2023 | Imbalanced Data

    Semi-(un)supervised Learning mit vortrainierten Netzen

    In der Bildklassifikation und im Bereich des NLP gibt es eine Vielzahl vortrainierter Netze. Bei Bildern zählen VGG und ResNET in ihren verschiedenen Ausprägungen zu den Bekanntesten. Ziel dieser Arbeit (BA/MAP) ist es,… Mehr
    05.06.2023 | Physics & Deep Learning

    Unbiased characterization of tremor disorders using Deep Learning for time series analysis

    Massive time series feature extraction is a powerful tool to examine oscillating biological signals (Fulcher and Jones, 2017) such as tremor disorders. Tremor is defined as the involuntary, rhythmical, sinusoidal movement of a… Mehr
    05.06.2023 | Recommender Systems

    Language Modelle für Recommender Systeme

    Das Verständnis von Text ist auch ein wichtiger Bestandteil von Recommender Systemen, wenn sie auf Grundlage von textuellen Informationen Vorschläge generieren. Es hat sich gezeigt, dass Sprachmodelle/Language Modelle, die auf… Mehr
    05.06.2023 | Recommender Systems

    Empfehlungssystem zur Unterstützung von Studienanfänger:innen in Vorkursen

    Empfehlungssysteme spielen in den letzten Jahres auch im Bereich des E-Learnings eine zunehmend größere Rolle. Dort können sie z.B. helfen, den Lernenden entsprechend ihres persönlichen Lernfortschritts und ihrer Wissenslücken… Mehr
    05.06.2023 | Recommender Systems

    Recommendation of Co-Authorship using Hypergraph Networks

    Recently a new field of Graph Neural Networks has been revealed, which takles the field of Hypergraph networks. These networks use hyperedges, which can connect mutiple vertexes. A bibliometric dataset contains authors as vertices… Mehr
    05.06.2023 | Recommender Systems

    Vector Representations for Institutions

    The goal of this work is to find Vector representations for institutions, as Universities. These representations can be based on geographic location, collaborations between institutions or other information. As suitable source,… Mehr
    05.06.2023 | Natural Language Processing

    Repräsentation von Romanen als Abfolge von Graphen

    Romane gehören zu den Textarten, die trotz riesiger Fortschritte in den letzten Jahren die NLP immer noch vor Herausforderungen stellen: Selbst die neuesten Modelle sind nicht in der Lage, komplette Romantexte am Stück einzulesen… Mehr
    05.06.2023 | Natural Language Processing

    Knowledge Graph Representation

    As one of their predominant research areas, the semantic web community builds knowledge graphs, which are machine-readable graphs that contain knowledge from all over the world wide web. Recently, researchers have shown great… Mehr
    05.06.2023 | Natural Language Processing

    ChatGPT and Co for Publication Management

    With the recent development of big language models like GPT-3 and GPT-4 and applications like ChatGPT, we want to find out to what measure they can be used to solve tasks previously done by humans and how to improve their… Mehr
    01.06.2023 |

    Student assistant

    Are you interested in doing machine learning research, and get paid for it? Then contact me (janetzky@informatik.uni-wuerzburg.de), and we’ll find something interesting to do. Mehr
    06.04.2023 |

    The last (unequal) batch – to drop or not?

    When batching training data, many frameworks utilize a parameter that controls the size of the last batch. In cases where the batch size does not smoothly divide the total number of samples, this parameter effects if the batch… Mehr