Marc Jacobs

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Topics

Document Clustering

Tolerance Rough Set

Tumor Detection

Top Venues

SEMANTiCS Posters&Demos

Publications

Bide Zhang, Vanessa Lage-Rupprecht, Philipp Wegner, Astghik Sargsyan, Stephan Gebel, Marc Jacobs, Jürgen Klein, Martin Hofmann-Apitius, Alpha Tom Kodamullil
Design of the formalized and integrated Alzheimer's Disease Ontology and its application in retrieving textual data via text mining. Database J. Biol. Databases Curation 2023 (2023)
Vanessa Lage-Rupprecht, Bruce Schultz, Justus Dick, Marcin Namysl, Andrea Zaliani, Stephan Gebel, Ole Pless, Jeanette Reinshagen, Bernhard Ellinger, Christian Ebeling, Alexander M. Esser, Marc Jacobs, Carsten Claussen, Martin Hofmann-Apitius
A hybrid approach unveils drug repurposing candidates targeting an Alzheimer pathophysiology mechanism. Patterns 3 (3) (2022)
Tim Adams, Marcin Namysl, Alpha Tom Kodamullil, Sven Behnke, Marc Jacobs
Benchmarking table recognition performance on biomedical literature on neurological disorders. Bioinform. 38 (6) (2022)
Philipp Wegner, Geena Mariya Jose, Vanessa Lage-Rupprecht, Sepehr Golriz Khatami, Bide Zhang, Stephan Springstubbe, Marc Jacobs, Thomas Linden, Cindy Ku, Bruce Schultz, Martin Hofmann-Apitius, Alpha Tom Kodamullil
Common data model for COVID-19 datasets. Bioinform. 38 (24) (2022)
Jens Dörpinghaus, Andreas Stefan, Bruce Schultz, Marc Jacobs
Context mining and graph queries on giant biomedical knowledge graphs. Knowl. Inf. Syst. 64 (5) (2022)
Astghik Sargsyan, Alpha Tom Kodamullil, Shounak Baksi, Johannes Darms, Sumit Madan, Stephan Gebel, Oliver Keminer, Geena Mariya Jose, Helena Balabin, Lauren Nicole Delong, Manfred Kohler, Marc Jacobs, Martin Hofmann-Apitius
The COVID-19 Ontology. Bioinform. 36 (24) (2021)
Jens Dörpinghaus, Marc Jacobs
Knowledge Detection and Discovery using Semantic Graph Embeddings on Large Knowledge Graphs generated on Text Mining Results. FedCSIS (2020)
Jens Dörpinghaus, Andreas Stefan, Bruce Schultz, Marc Jacobs
Towards context in large scale biomedical knowledge graphs. CoRR (2020)
Jens Dörpinghaus, Marc Jacobs
Semantic Knowledge Graph Embeddings for biomedical Research: Data Integration using Linked Open Data. SEMANTiCS Posters&Demos (2019)
Tim Adams, Jens Dörpinghaus, Marc Jacobs, Volker Steinhage
Automated lung tumor detection and diagnosis in CT Scans using texture feature analysis and SVM. FedCSIS (Communication Papers) (2018)
Jens Dörpinghaus, Sebastian Schaaf, Marc Jacobs
Soft document clustering using a novel graph covering approach. BioData Min. 11 (1) (2018)
Jens Dörpinghaus, Johannes Darms, Marc Jacobs
What was the Question? A Systematization of Information Retrieval and NLP Problems. FedCSIS (2018)
Jens Dörpinghaus, Jürgen Klein, Johannes Darms, Sumit Madan, Marc Jacobs
SCAIView - A Semantic Search Engine for Biomedical Research Utilizing a Microservice Architecture. SEMANTiCS Posters&Demos (2018)
Jens Dörpinghaus, Sebastian Schaaf, Juliane Fluck, Marc Jacobs
Document Clustering using a Graph Covering with Pseudostable Sets. FedCSIS (2017)