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Sabrina Luftensteiner
Sabrina Luftensteiner
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Abstracting process mining event logs from process-state data to monitor control-flow of industrial manufacturing processes
M Mayr, S Luftensteiner, GC Chasparis
Procedia Computer Science 200, 1442-1450, 2022
112022
Filter-based feature selection methods for industrial sensor data: a review
S Luftensteiner, M Mayr, G Chasparis
International Conference on Big Data Analytics and Knowledge Discovery, 242-249, 2021
62021
Generalized input-output hidden-Markov-models for supervising industrial processes
GC Chasparis, S Luftensteiner, M Mayr
Procedia Computer Science 200, 1402-1411, 2022
42022
A framework for factory-trained virtual sensor models based on censored production data
S Luftensteiner, M Zwick
International Conference on Database and Expert Systems Applications, 3-16, 2020
32020
Avubdi: A versatile usable big data infrastructure and its monitoring approaches for process industry
S Luftensteiner, M Mayr, GC Chasparis, M Pichler
Frontiers in Chemical Engineering 3, 665545, 2021
22021
Gathering Expert Knowledge in Process Industry
S Luftensteiner, GC Chasparis, M Mayr
Procedia Computer Science 217, 960-968, 2023
12023
Log File Anomaly Detection Based on Process Mining Graphs
S Luftensteiner, P Praher
International Conference on Database and Expert Systems Applications, 383-391, 2022
12022
A framework for improving offline learning models with online data
S Luftensteiner, M Zwick
DBKDA 2021, 39, 2021
12021
PAS-A Feature Selection Process Definition for Industrial Settings
S Luftensteiner, GC Chasparis, J Küng
Procedia Computer Science 232, 308-316, 2024
2024
Improving Virtual Sensor Models by Censored Online Data
S Luftensteiner, M Zwick
Procedia Computer Science 217, 938-947, 2023
2023
From Data to Decisions-Developing Data Analytics Use-Cases in Process Industry
J Himmelbauer, M Mayr, S Luftensteiner
International Conference on Database and Expert Systems Applications, 79-89, 2022
2022
A Synthetic Dataset for Anomaly Detection of Machine Behavior
S Luftensteiner, P Praher
International Conference on Database and Expert Systems Applications, 424-431, 2022
2022
Data Preprocessing and Expert Knowledge Integration for Feature Selection in Process Industry
S Luftensteiner, GC Chasparis, J Kung
Available at SSRN 4552873, 0
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Artikelen 1–13