Ryan Hildebrant

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Domain Knowledge

Top Venues

Publications

Guoxi Wang, Ryan Hildebrant, Andrew Chio, Sharad Mehrotra, Nalini Venkatasubramanian
BatchIT: Intelligent and Efficient Batching for IoT Workloads at the Edge. NOMS (2024)
Ryan Hildebrant, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich, Shangping Ren
PMDG: Privacy for Multi-perspective Process Mining Through Data Generalization. CAiSE (2023)
Ryan Hildebrant, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich, Shangping Ren
PMDG: Privacy for Multi-Perspective Process Mining through Data Generalization. CoRR (2023)
Ryan Hildebrant, Quoc-Tung Le, Duy-Hoang Ta, Hoa T. Vu
Towards Better Bounds for Finding Quasi-Identifiers. PODS (2023)
Zhenyu Zhang, Junjie Zhu, Ryan Hildebrant, Nalini Venkatasubramanian, Shangping Ren
Using Domain Knowledge to Assist Process Scenario Discoveries. COMPSAC (2022)
Ryan Hildebrant, Quoc-Tung Le, Duy-Hoang Ta, Hoa T. Vu
Towards Better Bounds for Finding Quasi-Identifiers. CoRR (2022)
Zhenyu Zhang, Ryan Hildebrant, Fatemeh Asgarinejad, Nalini Venkatasubramanian, Shangping Ren
Improving Process Discovery Results by Filtering Out Outliers from Event Logs with Hidden Markov Models. CBI (1) (2021)
Wenyu Peng, Zhenyu Zhang, Ryan Hildebrant, Shangping Ren
Empirical Studies of Three Commonly Used Process Mining Algorithms. SMC (2021)
Ryan Hildebrant, Zhenyu Zhang, Shangping Ren
A Generalizable Approach for Determining The Sensitivity of A Trace within An Event Log. EMISA Forum 41 (1) (2021)