Sabrina Luftensteiner

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Anomaly Detection

Industrial Process

Top Venues

Publications

Sabrina Luftensteiner, Patrick Praher, Nicole Schwarz
NADA: NMF-Based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-Files. DaWaK (2024)
Sabrina Luftensteiner, Georgios C. Chasparis, Michael Mayr
Gathering Expert Knowledge in Process Industry. ISM (2023)
Sabrina Luftensteiner, Michael Zwick
Improving Virtual Sensor Models by Censored Online Data. ISM (2023)
Sabrina Luftensteiner, Patrick Praher
Log File Anomaly Detection Based on Process Mining Graphs. DEXA Workshops (2022)
Sabrina Luftensteiner, Patrick Praher
A Synthetic Dataset for Anomaly Detection of Machine Behavior. DEXA Workshops (2022)
Johannes Himmelbauer, Michael Mayr, Sabrina Luftensteiner
From Data to Decisions - Developing Data Analytics Use-Cases in Process Industry. DEXA Workshops (2022)
Sabrina Luftensteiner, Michael Mayr, Georgios C. Chasparis
Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review. DaWaK (2021)
Georgios C. Chasparis, Sabrina Luftensteiner, Michael Mayr
Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes. ISM (2021)
Michael Mayr, Sabrina Luftensteiner, Georgios C. Chasparis
Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes. ISM (2021)
Sabrina Luftensteiner, Michael Zwick
A Framework for Factory-Trained Virtual Sensor Models Based on Censored Production Data. DEXA (2) (2020)