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Johannes Himmelbauer
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2020 – today
- 2022
- [c9]Johannes Himmelbauer, Michael Mayr
, Sabrina Luftensteiner:
From Data to Decisions - Developing Data Analytics Use-Cases in Process Industry. DEXA Workshops 2022: 79-89 - [c8]Aleksei Karetnikov
Using Property Graphs to Segment Time-Series Data. DEXA Workshops 2022: 416-423 - [i1]Roman Josef Rainer, Michael Mayr
Opening the black-box of Neighbor Embedding with Hotelling's T2 statistic and Q-residuals. CoRR abs/2209.01984 (2022) - 2021
- [c7]Bernhard Heinzl, Jorge Martínez Gil
Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications. INDIN 2021: 1-6 - [c6]Michal Bechný
Unsupervised approach for online outlier detection in industrial process data. ISM 2021: 257-266 - 2020
- [c5]Michael Mayr
Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic. DaWaK 2020: 348-363
2010 – 2019
- 2019
- [c4]Johannes Himmelbauer, Jorge Martínez Gil
Towards a Data-Driven Approach for Fraud Detection in the Social Insurance Field: A Case Study in Upper Austria. EGOVIS 2019: 70-84 - 2013
- [c3]Rudolf Ramler, Johannes Himmelbauer:
Noise in Bug Report Data and the Impact on Defect Prediction Results. IWSM/Mensura 2013: 173-180 - 2010
- [c2]Jean-Luc Bouchot, Johannes Himmelbauer, Bernhard Moser:
On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [p1]Erich-Peter Klement
Data-Driven and Knowledge-Based Modeling. Hagenberg Research 2009: 237-279 - 2007
- [j1]Mario Drobics, Johannes Himmelbauer:
Creating comprehensible regression models. Soft Comput. 11(5): 421-438 (2007) - 2004
- [c1]Johannes Himmelbauer, Mario Drobics:
Regularized numerical optimization of fuzzy rule bases. FUZZ-IEEE 2004: 1655-1660
Coauthor Index
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