Prof. Dr. Stefan Decker

Contact Information

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Theses

• A Semantic Publish-Subscribe System for the Internet of Production (Open)
• A Smart Routing Algorithm for the Personal Health Train (PHT) (Open)
• Automatic Provenance Generation for Serverless Computing (Open)
• Entwicklung einer Co-Simulationsumgebung zur Abbildung des Prozessdatenverkehrs von intelligenten Energienetzen (Open)
• Entwicklung eines Datenanalyseverfahrens für das Asset Management in Smart Grids (Open)
• Entwicklung eines Systems zur Angriffserkennung in intelligenten Energienetzen (Open)
• Exploring Unknown Environments - Finding Pollution in Underground Pipes (Open)
• Modellierung und Analyse der Anwendbarkeit von Blockchain Technologien in der Energieversorgung (Open)
• A Conceptual Framework Towards Application-specific Presentation Views on Knowledge Organization Systems (Running)
• A Condensation-based Anonymization Approach for Intrusion Detection (Running)

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Publications

2020

• Lars Gleim, Jan Pennekamp, Martin Liebenberg, Melanie Buchsbaum, Philipp Niemietz, Simon Knape, Alexander Epple, Simon Storms, Daniel Trauth, Thomas Bergs, Christian Brecher, Stefan Decker, Gerhard Lakemeyer, Klaus Wehrle

  FactDAG: Formalizing Data Interoperability in an Internet of Production

  Published in IEEE Internet of Things Journal

2019

• Md. Rezaul Karim, Md Ashiqur Rahman, Joao Bosco Jares, Stefan Decker, Oya Beyan

  A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations

  Published in Neural Computing and Applications

• Oya Beyan, Ananya Choudry, Johan van Soest, Oliver Kohlbacher, Lukas Zimmermann, Holger Stenzhorn, Md. Rezaul Karim, Michel Dumontier, Stefan Decker, Luiz Olavo Bonino da Silva Santos, Andre Dekker

  Distributed Analytics on Sensitive Medical Data: The Personal Health Train

  Published in Data Intelligence

• Binh-Phi Nguyen, Thomas Reese, Stefan Decker, Daniel C. Malone, Richard D. Boyce, Oya Beyan

  Clinical Decision Support Services to Detect Potential Drug-Drug Interaction using Clinical Quality Language

• Md. Rezaul Karim, Galih Wicaksono, Ivan G. Costo, Stefan Decker, Oya Beyan

  Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data

  Published in IEEE Access

• Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mumtaz Uddin, Oya Beyan, Stefan Decker

  Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

• Matthias Löbe, Oya Beyan, Sebastian Stäubert, Frank Meineke, Danny Ammon, Alfred Winter, Stefan Decker, Markus Löffler, Toralf Kirsten

  Design of Metadata Services for Clinical Data Interoperability in Germany

  Published in Stud Health Technol Inform

• Binh-Phi Nguyen, Thomas Reese, Stefan Decker, Daniel C. Malone, Richard D. Boyce, Oya Beyan

  Implementation of Clinical Decision Support Services to Detect Potential Drug-Drug Interaction Using Clinical Quality Language

  Published in Stud Health Technol Inform

• Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Christoph Lange

  OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data

  Published in 19th IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE 2019)

• Jan Pennekamp, Markus Dahlmanns, Lars Gleim, Stefan Decker, Klaus Wehrle

  Security Considerations for Collaborations in an Industrial IoT-based Lab of Labs

  Published in Proceedings of the 3rd IEEE Global Conference on Internet of Things (GCIoT '19), December 4–7, 2019, Dubai, United Arab Emirates Publisher: IEEE, December 2019 accepted

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