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Patrick Praher
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2020 – today
- 2024
- [c8]Sabrina Luftensteiner
, Patrick Praher, Nicole Schwarz:
NADA: NMF-Based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-Files. DaWaK 2024: 369-374 - 2022
- [c7]Sabrina Luftensteiner
Log File Anomaly Detection Based on Process Mining Graphs. DEXA Workshops 2022: 383-391 - [c6]Sabrina Luftensteiner, Patrick Praher:
A Synthetic Dataset for Anomaly Detection of Machine Behavior. DEXA Workshops 2022: 424-431 - 2021
- [c5]Salma Mahmoud, Jorge Martínez Gil
Deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends. DEXA Workshops 2021: 184-191 - 2020
- [c4]Paul Primus, Verena Haunschmid, Patrick Praher, Gerhard Widmer:
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples. DCASE 2020: 170-174 - [c3]Salma Mahmoud, Florian Sobieczky, Jorge Martínez Gil, Patrick Praher, Bernhard Freudenthaler:
Decay-parameter Diagnosis in Industrial Domains by Robustness through Isotonic Regression. ISM 2020: 466-475 - [i1]Paul Primus, Verena Haunschmid, Patrick Praher, Gerhard Widmer:
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples. CoRR abs/2011.02949 (2020)
2010 – 2019
- 2019
- [c2]Patrick Praher, Bernhard Freudenthaler, Werner Schröder, Florian Sobieczky:
Enhancing Industrial Maintenance Through Intelligent Data Analysis. EUROCAST (2) 2019: 469-476 - [c1]Jorge Martínez Gil
General Model for Tracking Manufacturing Products Using Graph Databases. SIMPDA 2019: 86-100
Coauthor Index
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last updated on 2024-09-10 01:14 CEST by the dblp team
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