Enhancing Industrial Maintenance Through Intelligent Data Analysis. - Patrick Praher; Bernhard Freudenthaler; Werner Schröder; Florian Sobieczky (EUROCAST (2), 2019)

General Model for Tracking Manufacturing Products Using Graph Databases. - Jorge Martinez-Gil; Reinhard Stumptner; Christian Lettner; Mario Pichler; Salma Mahmoud; Patrick Praher; Bernhard Freudenthaler (SIMPDA, 2019)

Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples. - Paul Primus; Verena Haunschmid; Patrick Praher; Gerhard Widmer (DCASE, 2020)

Decay-parameter Diagnosis in Industrial Domains by Robustness through Isotonic Regression. - Salma Mahmoud; Florian Sobieczky; Jorge Martinez-Gil; Patrick Praher; Bernhard Freudenthaler (ISM, 2020)

Deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends. - Salma Mahmoud; Jorge Martinez-Gil; Patrick Praher; Bernhard Freudenthaler; Alexander Girkinger (DEXA Workshops, 2021)

Log File Anomaly Detection Based on Process Mining Graphs. - Sabrina Luftensteiner; Patrick Praher (DEXA Workshops, 2022)

A Synthetic Dataset for Anomaly Detection of Machine Behavior. - Sabrina Luftensteiner; Patrick Praher (DEXA Workshops, 2022)

NADA: NMF-Based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-Files. - Sabrina Luftensteiner; Patrick Praher; Nicole Schwarz (DaWaK, 2024)