DMME: Data Mining Methodology for Engineering Applications – A Holistic Extension to the CRISP-DM Model S Huber, H Wiemer, D Schneider, S Ihlenfeldt 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 2018 | 373 | 2018 |
Toward an execution system for self-healing workflows in cyber-physical systems R Seiger, S Huber, T Schlegel Software & Systems Modeling 17, 551-572, 2018 | 78 | 2018 |
Toward a framework for self-adaptive workflows in cyber-physical systems R Seiger, S Huber, P Heisig, U Aßmann Software & Systems Modeling 18, 1117-1134, 2019 | 69 | 2019 |
Enabling self-adaptive workflows for cyber-physical systems R Seiger, S Huber, P Heisig, U Assmann Enterprise, Business-Process and Information Systems Modeling: 17th …, 2016 | 67 | 2016 |
Proteus: An integrated system for process execution in cyber-physical systems R Seiger, S Huber, T Schlegel Enterprise, Business-Process and Information Systems Modeling: 16th …, 2015 | 40 | 2015 |
OMSSA Parser: an open‐source library to parse and extract data from OMSSA MS/MS search results H Barsnes, S Huber, A Sickmann, I Eidhammer, L Martens Proteomics 9 (14), 3772-3774, 2009 | 38 | 2009 |
Using semantic queries to enable dynamic service invocation for processes in the internet of things S Huber, R Seiger, A Kühnert, T Schlegel 2016 IEEE tenth international conference on semantic computing (ICSC), 214-221, 2016 | 26 | 2016 |
A Case Study for Workflow-based Automation in the Internet of Things R Seiger, S Huber, U Aßmann IEEE International Conference on Software Architecture (ICSA 2018) Workshops, 2018 | 21 | 2018 |
Goal-based semantic queries for dynamic processes in the internet of things S Huber, R Seiger, A Kühnert, V Theodorou, T Schlegel International Journal of Semantic Computing 10 (02), 269-293, 2016 | 19 | 2016 |
A context-adaptive workflow engine for humans, things and services S Huber, R Seiger, A Kühnert, T Schlegel Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 6 | 2016 |
A framework for self-adaptive workflows in cyber-physical systems R Seiger, S Huber, P Heisig, U ASSmann Software Engineering and Software Management 2019, 125-126, 2019 | 5 | 2019 |
PROtEUS++: A Self-managed IoT Workflow Engine with Dynamic Service Discovery R Seiger, S Huber, P Heisig 9th Central European Workshop on Services and their Composition (ZEUS), 2017 | 4 | 2017 |
An Execution System for Self-healing Workflows in Cyber-physical Systems R Seiger, S Huber, T Schlegel Software Engineering 2017, 75-76, 2017 | 2 | 2017 |
Goal-based Workflow Adaptation for Role-based Resources in the Internet of Things DMS Huber | 1 | 2018 |