2024 |
David Waldmann |
Analyse der Parkraumdynamik anhand von temporalen Street View Aufnahmen |
B. Sc. |
Florens Rohde |
2024 |
Kelly Lum |
Similarity feature space Extension in Multi-ER |
B. Sc. |
Dr. Victor Christen |
2024 |
Constantin Urbainsky |
The transformation and integration of NYC bike sharing data into combined graph time-series data in TimeTRavelDB |
B. Sc. |
Mouna Ammar |
2024 |
Max Niclas Wächtler |
Performance-Evaluation von Gradoop mittels LDBC's FinBench Queries |
B. Sc. |
Dr. Christopher Rost |
2024 |
Linus Andreas Schneider |
Explorative Graph-Level Embeddings of Temporal Property Graphs |
B. Sc. |
Dr. Christopher Rost; Kevin Gomez |
2024 |
Bennet Friedrichs |
Verbesserung eines Multi-Layer Active Learning Protokolls für PPRL |
B. Sc. |
Florens Rohde |
2024 |
Jan Schlenker |
Optimierung der Trainingsdaten für die Klassifizierung menschlicher Posen auf Bildern einer omnidirektionalen Kamera durch YOLO-Modelle |
B. Sc. |
Dr. Thomas Burghardt |
2024 |
Ahmad Alzin |
Transformer-basiertes Modell zur optischen Erkennung von deutschen Handschriften |
B. Sc. |
Dr. Thomas Burghardt |
2024 |
Colin Hartkopf |
Realization of an infrastructure to maintain record linkage tasks |
B. Sc. |
Dr. Victor Christen |
2024 |
Noah Rasp |
Object detection in images on edge devices with limited resources |
M. Sc. |
Florens Rohde |
2024 |
Marek Becher |
Performance Analysis and Integration of Non-Native Time- Series and Graph Database Systems |
B. Sc. |
Mouna Ammar |
2024 |
Johann Jakob Kurzmann |
Temporal Vector Embeddings in Neo4j |
B. Sc. |
Dr. Christopher Rost; Kevin Gomez |
2024 |
Chris Emmerich |
Verbesserung der Erkennung interessanter Punkte in Standortverläufen durch Analyse der Semantik |
B. Sc. |
Maja Schneider |
2024 |
Bjarne Weers |
Re-Identifizierung von Personen anhand ihrer Points of interest |
B. Sc. |
Maja Schneider |
2024 |
Matthias Mohn |
Erstellung synthetischer Standortverläufe aus historischen Traveldiaries |
B. Sc. |
Maja Schneider |
2024 |
Claudius Czarnecki |
Social influence on mobility |
B. Sc. |
Maja Schneider |
2024 |
Markus Wetzel |
Model selection for Privacy Preserving Record Linkage using synthetic data |
B. Sc. |
Florens Rohde; Dr. Victor Christen |
2024 |
Marco Gruner |
Improvement of Quality Estimation methods for Record Linkage |
B. Sc. |
Dr. Victor Christen |
2024 |
Niklas Leon Kuhn |
Single-Source Earliest-Arrival for Temporal Graphs in Gradoop |
B. Sc. |
Dr. Christopher Rost |
2024 |
Friedrich Schwella |
Node embedding based entity linking for medical forms |
B. Sc. |
Dr. Victor Christen |
2023 |
Abdulnaser Sabra |
Transfer learning for record linkage using Data Profiling |
M. Sc. |
Dr. Victor Christen |
2023 |
Tom Wawerek |
AI-Driven Development |
B. Sc. |
Dr. Victor Christen |
2023 |
Theresa Butenschön |
Untersuchung der Auswirkungen von Duplikaten im Privacy-Preserving Machine Learning mit PATE |
B. Sc. |
Florens Rohde |
2023 |
Nzali Herve |
Enhancing Automated Metadata Extraction via Language Models: Developing an Interactive Web Interface for Customized Code Generation |
B. Sc. |
Marvin Hofer |
2022 |
Mohammad Issa |
Automatische Detektion und Segmentierung von Fahrspuren im Automotive Bereich (Kooperation mit ASAP ENGINEERING GmbH) |
M. Sc. |
Dr. Christian Martin |
2022 |
Felix Kirchgäßner |
Von gewöhnlichen und partiellen Differentialgleichungen inspirierte neuronale Netze |
Diplom |
Benjamin Uhrich |
|
Philipp Rickayzen |
Quality Estimation of record linkage results using an ensemble of cluster methods |
M. Sc. |
Dr. Victor Christen |
|
Jonathan Weske |
Federated Daisy Chaining |
M. Sc. |
Lucas Lange |
|
Oliver Hamm |
Slicing Dynamic Time Warping for Time Series Retrieval and Clustering |
B. Sc. |
Lucas Lange |
|
Marcel Lehmann |
Data Augmentation for Time Series Data |
M. Sc. |
Lucas Lange |
|
Max Martius |
Model and Data Independent Property Inference Attacks |
M. Sc. |
Lucas Lange |
|
Adrian Böttinger |
Supervised learning from user-driven privatized data |
M. Sc. |
Lucas Lange |
|
Tim Kästner |
Erkennung von Elektro-Autos auf Bildern |
B. Sc. |
Lucas Lange |
|
Ole Borchardt |
Federated Learning With Individualized Differential Privacy By Client Sampling |
M. Sc. |
Lucas Lange |
|
Lukas auf der Landwehr |
Federated Learning on User-Level Data Distributions |
B. Sc. |
Lucas Lange |