Jens Dörpinghaus

Orcid: 0000-0003-0245-7752

According to our database1, Jens Dörpinghaus authored at least 30 papers between 2017 and 2023.

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Bibliography

2023
Challenges of Automated Identification of Access to Education and Training in Germany.
Inf., 2023

A Generic Framework for Hidden Markov Models on Biomedical Data.
CoRR, 2023

Rule-based detection of access to education and training in Germany.
CoRR, 2023

Towards a German labor market ontology: Challenges and applications.
Appl. Ontology, 2023

Lessons from Continuing Vocational Training Courses for Computer Science Education.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

Digitalization and Sustainability in German Continuing Education.
Proceedings of the 53. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2023, Designing Future, 2023

Classifying Industrial Sectors from German Textual Data with a Domain Adapted Transformer.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Towards modelling and analysis of longitudinal social networks.
Proceedings of the Communication Papers of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022
Context mining and graph queries on giant biomedical knowledge graphs.
Knowl. Inf. Syst., 2022

Social Network Analysis and Co-Occurrence: Identifying the Gaps.
Proceedings of the Workshop on Humanities-Centred Artificial Intelligence co-located with 45th German Conference on Artificial Intelligence, September 19, 2022

Centrality Measures in multi-layer Knowledge Graphs.
Proceedings of the Communication Papers of the 17th Conference on Computer Science and Intelligence Systems, 2022

Analyzing longitudinal Data in Knowledge Graphs utilizing shrinking pseudo-triangles.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

A novel link prediction approach on clinical knowledge graphs utilizing graph structures.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021
An efficient approach towards the generation and analysis of interoperable clinical data in a knowledge graph.
Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

Automated creation of parallel Bible corpora with cross-lingual semantic concordance.
Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

2020
Towards context in large scale biomedical knowledge graphs.
CoRR, 2020

Semantic Graph Queries on Linked Data in Knowledge Graphs.
Proceedings of the Recent Advances in Computational Optimization, 2020

Optimization of Retrieval Algorithms on Large Scale Knowledge Graphs.
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

Knowledge Detection and Discovery using Semantic Graph Embeddings on Large Knowledge Graphs generated on Text Mining Results.
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

2019
Data Exploration and Validation on dense knowledge graphs for biomedical research.
CoRR, 2019

Semantic Knowledge Graph Embeddings for biomedical Research: Data Integration using Linked Open Data.
Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany, September 9th - to, 2019

Knowledge Extraction and Applications utilizing Context Data in Knowledge Graphs.
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

A Minimum Set-Cover Problem with several constraints.
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

2018
Pseudostabile Mengen in Graphen.
PhD thesis, 2018

Soft document clustering using a novel graph covering approach.
BioData Min., 2018

SCAIView - A Semantic Search Engine for Biomedical Research Utilizing a Microservice Architecture.
Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), 2018

A Graph-Theoretic Approach to the Train Marshalling Problem.
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

What was the Question? A Systematization of Information Retrieval and NLP Problems.
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

Automated lung tumor detection and diagnosis in CT Scans using texture feature analysis and SVM.
Proceedings of the Communication Papers of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2017
Document Clustering using a Graph Covering with Pseudostable Sets.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017


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