27 results on '"Weidlich, Matthias"'
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2. Scalable maximal subgraph mining with backbone-preserving graph convolutions
3. Optimal event log sanitization for privacy-preserving process mining
4. Semantics-aware mechanisms for control-flow anonymization in process mining
5. Dual Center Validation of Deep Learning for Automated Multi-Label Segmentation of Thoracic Anatomy in Bedside Chest Radiographs
6. Deep MinCut: Learning Node Embeddings by Detecting Communities
7. Hiding in the forest: Privacy-preserving process performance indicators
8. Adaptive incentive-based demand response with distributed non-compliance assessment
9. Model-agnostic and diverse explanations for streaming rumour graphs
10. Process discovery with context-aware process trees
11. Sampling and approximation techniques for efficient process conformance checking
12. Partial order resolution of event logs for process conformance checking
13. Context-aware temporal network representation of event logs: Model and methods for process performance analysis
14. Handling probabilistic integrity constraints in pay-as-you-go reconciliation of data models
15. Introduction to the Special Issue on Integrating Process-oriented and Event-based Systems
16. To aggregate or to eliminate? Optimal model simplification for improved process performance prediction
17. Interleaving isotactics – An equivalence notion on behaviour abstractions
18. Traveling time prediction in scheduled transportation with journey segments
19. Preface to BPM 2015
20. Conformance checking and performance improvement in scheduled processes: A queueing-network perspective
21. Queue mining for delay prediction in multi-class service processes
22. An iterative approach to synthesize business process templates from compliance rules
23. Propagating changes between aligned process models
24. Perceived consistency between process models
25. Action patterns in business process model repositories
26. Process compliance analysis based on behavioural profiles
27. Visually specifying compliance rules and explaining their violations for business processes
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