Sabrina Luftensteiner

Orcid: 0000-0002-6502-4172

According to our database1, Sabrina Luftensteiner authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
PAS - A Feature Selection Process Definition for Industrial Settings.
Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2024), 2024

NADA: NMF-Based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-Files.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2024

2023
Improving Virtual Sensor Models by Censored Online Data.
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

Gathering Expert Knowledge in Process Industry.
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.
Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

Log File Anomaly Detection Based on Process Mining Graphs.
Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

From Data to Decisions - Developing Data Analytics Use-Cases in Process Industry.
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.
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.
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.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

2020
A Framework for Factory-Trained Virtual Sensor Models Based on Censored Production Data.
Proceedings of the Database and Expert Systems Applications, 2020


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