Johannes Himmelbauer

13 papers B 3C 3Journal 2Unranked 4
YearRankTypeTitle / Venue / Authors
2024 C conf
A Two-Step Approach for Trend Detection in Injection Molding: Mann-Kendall Test and Decision Trees.
ISM
Du Nguyen Duy, Johannes Himmelbauer
2022 — conf
From Data to Decisions - Developing Data Analytics Use-Cases in Process Industry.
DEXA Workshops
Johannes Himmelbauer, Michael Mayr, Sabrina Luftensteiner
2022 J jnl
Opening the black-box of Neighbor Embedding with Hotelling's T2 statistic and Q-residuals.
CoRR
Roman Josef Rainer, Michael Mayr, Johannes Himmelbauer, Ramin Nikzad-Langerodi
2022 — conf
Using Property Graphs to Segment Time-Series Data.
DEXA Workshops
Aleksei Karetnikov, Tobias Rehberger, Christian Lettner, Johannes Himmelbauer, Ramin Nikzad-Langerodi, Günter Gsellmann, Susanne Nestelberger, Stefan Schützeneder
2021 C conf
Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications.
INDIN
Bernhard Heinzl, Jorge Martinez-Gil, Johannes Himmelbauer, Michael Rossbory, Christian Hinterdorfer, Christian Hinterreiter
2021 C conf
Unsupervised approach for online outlier detection in industrial process data.
ISM
Michal Bechný, Johannes Himmelbauer
2020 B conf
Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic.
DaWaK
Michael Mayr, Johannes Himmelbauer
2019 — conf
Towards a Data-Driven Approach for Fraud Detection in the Social Insurance Field: A Case Study in Upper Austria.
EGOVIS
Johannes Himmelbauer, Jorge Martinez-Gil, Michael Ksen, Katharina Linner, Sieglinde Plakolm
2013 — conf
Noise in Bug Report Data and the Impact on Defect Prediction Results.
IWSM/Mensura
Rudolf Ramler, Johannes Himmelbauer
2010 B conf
On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis.
IJCNN
Jean-Luc Bouchot, Johannes Himmelbauer, Bernhard Moser
2009 — ch.
Data-Driven and Knowledge-Based Modeling.
Hagenberg Research
Erich-Peter Klement, Edwin Lughofer, Johannes Himmelbauer, Bernhard Moser
2007 J jnl
Creating comprehensible regression models.
Soft Comput.
Mario Drobics, Johannes Himmelbauer
2004 B conf
Regularized numerical optimization of fuzzy rule bases.
FUZZ-IEEE
Johannes Himmelbauer, Mario Drobics