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2020 – today
- 2024
[j2]Fatemeh Asgarinejad
, Anthony Thomas, Ryan Hildebrant, Zhenyu Zhang, Shangping Ren, Tajana Rosing, Baris Aksanli:
Optimized Early Prediction of Business Processes with Hyperdimensional Computing. Inf. 15(8): 490 (2024)- [c6]Guoxi Wang, Ryan Hildebrant, Andrew Chio, Sharad Mehrotra, Nalini Venkatasubramanian:
BatchIT: Intelligent and Efficient Batching for IoT Workloads at the Edge. NOMS 2024: 1-7 - 2023
- [c5]Ryan Hildebrant, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich, Shangping Ren:
PMDG: Privacy for Multi-perspective Process Mining Through Data Generalization. CAiSE 2023: 506-521 - [c4]Ryan Hildebrant, Quoc-Tung Le, Duy-Hoang Ta, Hoa T. Vu:
Towards Better Bounds for Finding Quasi-Identifiers. PODS 2023: 155-167 - [i2]Ryan Hildebrant, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich, Shangping Ren:
PMDG: Privacy for Multi-Perspective Process Mining through Data Generalization. CoRR abs/2305.00960 (2023) - 2022
- [c3]Zhenyu Zhang, Junjie Zhu, Ryan Hildebrant, Nalini Venkatasubramanian, Shangping Ren:
Using Domain Knowledge to Assist Process Scenario Discoveries. COMPSAC 2022: 280-288 - [i1]Ryan Hildebrant, Quoc-Tung Le, Duy-Hoang Ta, Hoa T. Vu:
Towards Better Bounds for Finding Quasi-Identifiers. CoRR abs/2211.13882 (2022) - 2021
- [j1]Ryan Hildebrant, Zhenyu Zhang, Shangping Ren:
A Generalizable Approach for Determining The Sensitivity of A Trace within An Event Log. EMISA Forum 41(1): 35-36 (2021) - [c2]Wenyu Peng, Zhenyu Zhang, Ryan Hildebrant, Shangping Ren:
Empirical Studies of Three Commonly Used Process Mining Algorithms. SMC 2021: 2492-2499 - [c1]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: 171-180
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