Sabrina Luftensteiner

According to our database, Sabrina Luftensteiner authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Improving Virtual Sensor Models by Censored Online Data.

Sabrina Luftensteiner, Michael Zwick

Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

Gathering Expert Knowledge in Process Industry.

Sabrina Luftensteiner, Georgios C. Chasparis, Michael Mayr

Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

2022

A Synthetic Dataset for Anomaly Detection of Machine Behavior.

Sabrina Luftensteiner, Patrick Praher

Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

Log File Anomaly Detection Based on Process Mining Graphs.

Sabrina Luftensteiner, Patrick Praher

Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

From Data to Decisions - Developing Data Analytics Use-Cases in Process Industry.

Johannes Himmelbauer, Michael Mayr, Sabrina Luftensteiner

Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

2021

Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes.

Michael Mayr, Sabrina Luftensteiner, Georgios C. Chasparis

Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes.

Georgios C. Chasparis, Sabrina Luftensteiner, Michael Mayr

Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review.

Sabrina Luftensteiner, Michael Mayr, Georgios C. Chasparis

Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

2020

A Framework for Factory-Trained Virtual Sensor Models Based on Censored Production Data.

Sabrina Luftensteiner, Michael Zwick

Proceedings of the Database and Expert Systems Applications, 2020