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Sabrina Luftensteiner
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2020 – today
- 2024
- [c10]Sabrina Luftensteiner
, Patrick Praher, Nicole Schwarz:
NADA: NMF-Based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-Files. DaWaK 2024: 369-374 - 2023
- [c9]Sabrina Luftensteiner, Michael Zwick:
Improving Virtual Sensor Models by Censored Online Data. ISM 2023: 938-947 - [c8]Sabrina Luftensteiner, Georgios C. Chasparis, Michael Mayr
Gathering Expert Knowledge in Process Industry. ISM 2023: 960-968 - 2022
- [c7]Johannes Himmelbauer, Michael Mayr
From Data to Decisions - Developing Data Analytics Use-Cases in Process Industry. DEXA Workshops 2022: 79-89 - [c6]Sabrina Luftensteiner
Log File Anomaly Detection Based on Process Mining Graphs. DEXA Workshops 2022: 383-391 - [c5]Sabrina Luftensteiner, Patrick Praher:
A Synthetic Dataset for Anomaly Detection of Machine Behavior. DEXA Workshops 2022: 424-431 - 2021
- [c4]Sabrina Luftensteiner, Michael Mayr
Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review. DaWaK 2021: 242-249 - [c3]Georgios C. Chasparis, Sabrina Luftensteiner
Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes. ISM 2021: 1402-1411 - [c2]Michael Mayr
Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes. ISM 2021: 1442-1450 - 2020
- [c1]Sabrina Luftensteiner
A Framework for Factory-Trained Virtual Sensor Models Based on Censored Production Data. DEXA (2) 2020: 3-16
Coauthor Index
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last updated on 2024-09-10 01:13 CEST by the dblp team
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