Document Clustering using a Graph Covering with Pseudostable Sets. - Jens Dörpinghaus; Sebastian Schaaf; Juliane Fluck; Marc Jacobs 001 (FedCSIS, 2017)

Automated lung tumor detection and diagnosis in CT Scans using texture feature analysis and SVM. - Tim Adams; Jens Dörpinghaus; Marc Jacobs 001; Volker Steinhage (FedCSIS (Communication Papers), 2018)

What was the Question? A Systematization of Information Retrieval and NLP Problems. - Jens Dörpinghaus; Johannes Darms; Marc Jacobs 001 (FedCSIS, 2018)

A Graph-Theoretic Approach to the Train Marshalling Problem. - Jens Dörpinghaus; Rainer Schrader (FedCSIS, 2018)

SCAIView - A Semantic Search Engine for Biomedical Research Utilizing a Microservice Architecture. - Jens Dörpinghaus; Jürgen Klein; Johannes Darms; Sumit Madan; Marc Jacobs 001 (SEMANTiCS (Posters & Demos), 2018)

Soft document clustering using a novel graph covering approach. - Jens Dörpinghaus; Sebastian Schaaf; Marc Jacobs 001 (BioData Min., 2018)

Pseudostabile Mengen in Graphen. - Jens Dörpinghaus (Fraunhofer Verlag, 2018)

A Minimum Set-Cover Problem with several constraints. - Jens Dörpinghaus; Carsten Düing; Vera Weil (FedCSIS, 2019)

Knowledge Extraction and Applications utilizing Context Data in Knowledge Graphs. - Jens Dörpinghaus; Andreas Stefan (FedCSIS, 2019)

Semantic Knowledge Graph Embeddings for biomedical Research: Data Integration using Linked Open Data. - Jens Dörpinghaus; Marc Jacobs 001 (SEMANTiCS (Posters & Demos), 2019)

Data Exploration and Validation on dense knowledge graphs for biomedical research. - Jens Dörpinghaus; Alexander Apke; Vanessa Lage-Rupprecht; Andreas Stefan (CoRR, 2019)

Knowledge Detection and Discovery using Semantic Graph Embeddings on Large Knowledge Graphs generated on Text Mining Results. - Jens Dörpinghaus; Marc Jacobs 001 (FedCSIS, 2020)

Optimization of Retrieval Algorithms on Large Scale Knowledge Graphs. - Jens Dörpinghaus; Andreas Stefan (FedCSIS, 2020)

Semantic Graph Queries on Linked Data in Knowledge Graphs. - Jens Dörpinghaus; Andreas Stefan (WCO@FedCSIS, 2020)

Towards context in large scale biomedical knowledge graphs. - Jens Dörpinghaus; Andreas Stefan; Bruce Schultz; Marc Jacobs 001 (CoRR, 2020)

Automated creation of parallel Bible corpora with cross-lingual semantic concordance. - Jens Dörpinghaus; Carsten Düing (FedCSIS, 2021)

An efficient approach towards the generation and analysis of interoperable clinical data in a knowledge graph. - Jens Dörpinghaus; Sebastian Schaaf; Vera Weil; Tobias Hübenthal (FedCSIS, 2021)

A novel link prediction approach on clinical knowledge graphs utilizing graph structures. - Jens Dörpinghaus; Tobias Hübenthal; Jennifer Faber (FedCSIS, 2022)

Analyzing longitudinal Data in Knowledge Graphs utilizing shrinking pseudo-triangles. - Jens Dörpinghaus; Vera Weil; Johanna Binnewitt (FedCSIS, 2022)

Centrality Measures in multi-layer Knowledge Graphs. - Jens Dörpinghaus; Vera Weil; Carsten Düing; Martin W. Sommer (FedCSIS (Communication Papers), 2022)

Social Network Analysis and Co-Occurrence: Identifying the Gaps. - Jens Dörpinghaus (CHAI@KI, 2022)

Towards the Analysis of Longitudinal Data in Knowledge Graphs on Job Ads. - Jens Dörpinghaus; Vera Weil; Johanna Binnewitt (WCO, 2022)

Context mining and graph queries on giant biomedical knowledge graphs. - Jens Dörpinghaus; Andreas Stefan; Bruce Schultz; Marc Jacobs 001 (Knowl. Inf. Syst., 2022)

Towards modelling and analysis of longitudinal social networks. - Jens Dörpinghaus; Vera Weil; Martin W. Sommer (FedCSIS (Communication Papers), 2023)

Classifying Industrial Sectors from German Textual Data with a Domain Adapted Transformer. - Richard Fechner; Jens Dörpinghaus; Anja Firll (FedCSIS, 2023)

Digitalization and Sustainability in German Continuing Education. - Felix Derksen; Jens Dörpinghaus (GI-Jahrestagung, 2023)

Lessons from Continuing Vocational Training Courses for Computer Science Education. - Jens Dörpinghaus; Johanna Binnewitt; Kristine Hein (ITiCSE (2), 2023)

Towards a German labor market ontology: Challenges and applications. - Jens Dörpinghaus; Johanna Binnewitt; Stefan Winnige; Kristine Hein; Kai Krüger (Appl. Ontology, 2023)

Rule-based detection of access to education and training in Germany. - Jens Dörpinghaus; David Samray; Robert Helmrich (CoRR, 2023)

A Generic Framework for Hidden Markov Models on Biomedical Data. - Richard Fechner; Jens Dörpinghaus; Robert Rockenfeller; Jennifer Faber (CoRR, 2023)

Challenges of Automated Identification of Access to Education and Training in Germany. - Jens Dörpinghaus; David Samray; Robert Helmrich (Inf., 2023)

Enhancing Text Recognition of Damaged Documents through Synergistic OCR and Large Language Models. - Thomas Asselborn; Jens Dörpinghaus; Faraz Kausar; Ralf Möller 001; Sylvia Melzer (FedCSIS (Communication Papers), 2024)

No Train, No Pain? Assessing the Ability of LLMs for Text Classification with no Finetuning. - Richard Fechner; Jens Dörpinghaus (FedCSIS (Position Papers), 2024)

Towards the analysis of errors in centrality measures in perpetuated networks. - Meetkumar Pravinbhai Mangroliya; Jens Dörpinghaus; Robert Rockenfeller (FedCSIS, 2024)

Educational pathways in a German labor market knowledge graph. - Katerina Kostadinovska; Jens Dörpinghaus (INFORMATIK, 2024)

Node and Edge Removal on Complex Networks in Labor Market Research and their Influence on Centrality Measures. - Meetkumar Pravinbhai Mangroliya; Jens Dörpinghaus; Robert Rockenfeller (INFORMATIK, 2024)

Extending the German Labor Market Ontology with Online Data. - Diana Martic; Andreas Fischer; Jens Dörpinghaus (INFORMATIK, 2024)

Analyzing Historical Legal Textcorpora: German VET and CVET regulations. - Thomas Reiser; Jens Dörpinghaus; Petra Steiner (INFORMATIK, 2024)

An analysis of Computer Science in OJAs with a dual-lingual ontology approach. - Michael Tiemann 002; Jens Dörpinghaus; Venkatesh Hariharapura Shivashankar (INFORMATIK, 2024)

Comparing a legacy tools taxonomy with digital tools from Computer Science Ontology. - Michael Tiemann 002; Jens Dörpinghaus; Venkatesh Hariharapura Shivashankar; Ralf Dorau (INFORMATIK, 2024)

IT Professionals in Germany. Labor Market Demands of Computer Science Education and their Perception on Social Media. - Stefan Udelhofen; Jens Dörpinghaus (ITiCSE (2), 2024)

A novel DFS/BFS approach towards link prediction. - Jens Dörpinghaus; Tobias Hübenthal; Denis Stepanov (CoRR, 2024)

Towards a Datatset of Digitalized Historical German VET and CVET Regulations. - Thomas Reiser; Jens Dörpinghaus; Petra Steiner; Michael Tiemann 002 (Data, 2024)

Automated annotation of parallel bible corpora with cross-lingual semantic concordance. - Jens Dörpinghaus (Nat. Lang. Eng., 2024)

Understanding Informatics in Continuing Vocational Education and Training Data in Germany. - Jens Dörpinghaus; Johanna Binnewitt; David Samray; Kristine Hein (ACM Trans. Comput. Educ., 2024)

Towards modeling and analysis of longitudinal social networks. - Jens Dörpinghaus; Vera Weil; Martin W. Sommer (Appl. Netw. Sci., 2024)

A case study on the transformative potential of AI in software engineering on LeetCode and ChatGPT. - Manuel Merkel; Jens Dörpinghaus (CoRR, 2025)