| 2025 | FedCSIS | Do LLMs dream of antique hermeneutics? Critical remarks on automated text interpretation. | Jens Drpinghaus, Michael Tiemann |
| 2025 | FedCSIS | Modeling and optimizing flow networks with several constrains using sequential dynamical systems. | Jens Drpinghaus, Michael Tiemann, Robert Helmrich |
| 2025 | GI | Occupations and Education in X Data: How representative is the data? | Michael Tiemann, Jens Drpinghaus |
| 2025 | GI | Automated classification of German job titles according to KldB: Challenges and novel methods. | Ralf Dorau, Kristine Hein, Jens Drpinghaus, Michael Tiemann |
| 2025 | GI | An empirical analysis of incentive structures in German online job advertisements using a topic modeling approach. | Michelle Katharina Gassner, Michael Tiemann, Jens Drpinghaus |
| 2025 | GI | Talking about tasks or just sharing job offers? A case study on job-related tweets. | Kristine Hein, Michael Tiemann, Jens Drpinghaus |
| 2025 | GI | Record Linkage for Historical German VET Data: Towards Linked Labor Market Data. | Thomas Reiser, Jens Drpinghaus, Petra Steiner |
| 2024 | FedCSIS | Enhancing Text Recognition of Damaged Documents through Synergistic OCR and Large Language Models. | Thomas Asselborn, Jens Drpinghaus, Faraz Kausar, Ralf Mller, Sylvia Melzer |
| 2024 | FedCSIS | No Train, No Pain? Assessing the Ability of LLMs for Text Classification with no Finetuning. | Richard Fechner, Jens Drpinghaus |
| 2024 | FedCSIS | Towards the analysis of errors in centrality measures in perpetuated networks. | Meetkumar Pravinbhai Mangroliya, Jens Drpinghaus, Robert Rockenfeller |
| 2024 | GI | Educational pathways in a German labor market knowledge graph. | Katerina Kostadinovska, Jens Drpinghaus |
| 2024 | GI | Node and Edge Removal on Complex Networks in Labor Market Research and their Influence on Centrality Measures. | Meetkumar Pravinbhai Mangroliya, Jens Drpinghaus, Robert Rockenfeller |
| 2024 | GI | Extending the German Labor Market Ontology with Online Data. | Diana Martic, Andreas Fischer, Jens Drpinghaus |
| 2024 | GI | Analyzing Historical Legal Textcorpora: German VET and CVET regulations. | Thomas Reiser, Jens Drpinghaus, Petra Steiner |
| 2024 | GI | An analysis of Computer Science in OJAs with a dual-lingual ontology approach. | Michael Tiemann, Jens Drpinghaus, Venkatesh Hariharapura Shivashankar |
| 2024 | GI | Comparing a legacy tools taxonomy with digital tools from Computer Science Ontology. | Michael Tiemann, Jens Drpinghaus, Venkatesh Hariharapura Shivashankar, Ralf Dorau |
| 2024 | ITiCSE | IT Professionals in Germany. Labor Market Demands of Computer Science Education and their Perception on Social Media. | Stefan Udelhofen, Jens Drpinghaus |
| 2023 | FedCSIS | Towards modelling and analysis of longitudinal social networks. | Jens Drpinghaus, Vera Weil, Martin W. Sommer |
| 2023 | FedCSIS | Classifying Industrial Sectors from German Textual Data with a Domain Adapted Transformer. | Richard Fechner, Jens Drpinghaus, Anja Firll |
| 2023 | GI | Digitalization and Sustainability in German Continuing Education. | Felix Derksen, Jens Drpinghaus |
| 2023 | ITiCSE | Lessons from Continuing Vocational Training Courses for Computer Science Education. | Jens Drpinghaus, Johanna Binnewitt, Kristine Hein |
| 2022 | FedCSIS | A novel link prediction approach on clinical knowledge graphs utilizing graph structures. | Jens Drpinghaus, Tobias Hbenthal, Jennifer Faber |
| 2022 | FedCSIS | Analyzing longitudinal Data in Knowledge Graphs utilizing shrinking pseudo-triangles. | Jens Drpinghaus, Vera Weil, Johanna Binnewitt |
| 2022 | FedCSIS | Centrality Measures in multi-layer Knowledge Graphs. | Jens Drpinghaus, Vera Weil, Carsten Ding, Martin W. Sommer |
| 2022 | KI | Social Network Analysis and Co-Occurrence: Identifying the Gaps. | Jens Drpinghaus |
| 2022 | WCO | Towards the Analysis of Longitudinal Data in Knowledge Graphs on Job Ads. | Jens Drpinghaus, Vera Weil, Johanna Binnewitt |
| 2021 | FedCSIS | Automated creation of parallel Bible corpora with cross-lingual semantic concordance. | Jens Drpinghaus, Carsten Ding |
| 2021 | FedCSIS | An efficient approach towards the generation and analysis of interoperable clinical data in a knowledge graph. | Jens Drpinghaus, Sebastian Schaaf, Vera Weil, Tobias Hbenthal |
| 2020 | FedCSIS | Knowledge Detection and Discovery using Semantic Graph Embeddings on Large Knowledge Graphs generated on Text Mining Results. | Jens Drpinghaus, Marc Jacobs |
| 2020 | FedCSIS | Optimization of Retrieval Algorithms on Large Scale Knowledge Graphs. | Jens Drpinghaus, Andreas Stefan |
| 2020 | FedCSIS | Semantic Graph Queries on Linked Data in Knowledge Graphs. | Jens Drpinghaus, Andreas Stefan |
| 2019 | FedCSIS | A Minimum Set-Cover Problem with several constraints. | Jens Drpinghaus, Carsten Ding, Vera Weil |
| 2019 | FedCSIS | Knowledge Extraction and Applications utilizing Context Data in Knowledge Graphs. | Jens Drpinghaus, Andreas Stefan |
| 2018 | FedCSIS | Automated lung tumor detection and diagnosis in CT Scans using texture feature analysis and SVM. | Tim Adams, Jens Drpinghaus, Marc Jacobs, Volker Steinhage |
| 2018 | FedCSIS | What was the Question? A Systematization of Information Retrieval and NLP Problems. | Jens Drpinghaus, Johannes Darms, Marc Jacobs |
| 2018 | FedCSIS | A Graph-Theoretic Approach to the Train Marshalling Problem. | Jens Drpinghaus, Rainer Schrader |
| 2017 | FedCSIS | Document Clustering using a Graph Covering with Pseudostable Sets. | Jens Drpinghaus, Sebastian Schaaf, Juliane Fluck, Marc Jacobs |