- Presentation of current research at the database group
- Presentation of running bachelor and master thesis
- For details see course in Moodle
25.11.2022
- Daniel Alker (MA) - Analysis Pipeline for Battery Electric Trucks Mission Profiles
- Felix Kirchgäßner - Klassifikation von Bilddaten mithilfe von PDG-inspirierten neuronalen Netzen in der additiven Fertigung
- Martin Grimmer - Usages of the LID-DS
- Victor Christen - Error Detection for Multi-source Clusters
02.12.2022
- Anna Matusevich (BA) - Untersuchung der Performanzentwicklung von Tomcat
- Jacob Pollack (MA) - Product matching using multimodal deep learning
- Christopher Rost - Seraph: Continuous Pattern Matching on Property Graph Streams (Part I / II)
- Daniel Obraczka - Inductive Entity Alignment
- Marvin Hofer - Knowledge Graph Construction
- Johannes Frey - Reproducibility Crisis in the LOD Cloud?
07.12.2022
- Lucas Lange - Next Steps in Practical PPML and PPML on Smartwatch Health Data
- Borislav Degenkolb (MA) - Privacy-Preserving LSTM for Smartwatch Stress Detection
- Nils Wenzlitschke (MA) - Privacy-Preserving Smartwatch Health Data Generation Using DP-GANs
- Felix Vogel (BA) - Privacy-Preserving Sentiment Analysis on Twitter
- Daniel Grohmann (BA) - Colorizing Old Photos of Leipzig Using Deep Learning
- Marlene Mertens (MA) - Classification of cervix carcinoma in MRI images
09.12.2022
- Victor Koch (BA) - Building an Overlay Search System for the XITASO Knowledge Ecosystem
- Benjamin Uhrich - Physics-informed ML
- Mehdi Karbalai (BA) -Android-App for extracting meta information of exams
- Elias Messner (BA) - Robustness in PPRL
- Florens Rohde - Multi-Stage Active Learning in PPRL
- Kai Lanzendorf (BA) - Studies on threshold selection methods in LID-DS
14.12.2022
- Maximilian Martin (BA) - Evaluation of Graph Stream Analysis Pipelines with Apache Flink
- Julian Pielmaier (BA) - Visualisation of Temporal Graph Metrics
- Axel Schuster (MA) - Time-series data organised by temporal property graphs
- Karim Abrik (BA) - Performanceanalyse der Commit-Historie von Gradoop
- Mahmoud Ahmad (BA) - Development of an Android app for collecting and visualizing ornithological data (Frontend)
- Abed Alaziz Owidat (BA) - Development of an Android app for collecting and visualizing ornithological data (Backend)
16.12.2022
- Mohamad Jaara (BA) - Fashion object detection
- Moussa Rais (BA) - Comparing different CNN architectures for fashion image comparison
- Tinsaye Abye (MA) - Transformer Based Anomaly Detection on Streams of System Calls