Jens Dörpinghaus

According to our database1, Jens Dörpinghaus authored at least 13 papers between 2017 and 2020.

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Bibliography

2020
Optimization of Retrieval Algorithms on Large Scale Knowledge Graphs.
CoRR, 2020

Towards context in large scale biomedical knowledge graphs.
CoRR, 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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