DI Johannes Himmelbauer

Senior Research Project Manager Data Science

Telefon: +43 50 343 830

johannes.himmelbauer@scch.at

Publikationen

- 10
- 2021
- Lisa Ehrlinger
- Johannes Himmelbauer
- Kiran Mainali
- Minhail Matskin
Discovering DataOps: A Comprehensive Review of Definitions, Use Cases, and Tools
- 10
- 2020
- Lisa Ehrlinger
- Christian Lettner
- Johannes Himmelbauer
Tackling semantic shift in industrial streaming data over time
- 9
- 2020
- Michael Mayr
- Johannes Himmelbauer
Detecting anomalies in production quality data using a method based on The Chi-Square Test Statistic
- 8
- 2019
- Johannes Himmelbauer
- Jorge Martinez-Gil
- Michael Ksen
- Katharina Linner
- Sieglinde Plakolm
Towards a data-driven approach for fraud detection in the social insurance field: A case study in Upper Austria
- 4
- 2014
- Rudolf Ramler
- Johannes Himmelbauer
- Thomas Natschläger
Building defect prediction models in practice
- 10
- 2013
- Rudolf Ramler
- Johannes Himmelbauer
Noise in bug report data and the impact on defect prediction results
- 9
- 2013
- Mariya Zhariy
- Johannes Himmelbauer
- Michael Scheerer
Sparse signal processing technique in multimodal dispersive SHM
- 7
- 2010
- Jean-Luc Bouchot
- Johannes Himmelbauer
- Bernhard Moser
On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis
- 6
- 2009
- Erich Peter Klement
- Edwin Lughofer
- Johannes Himmelbauer
- Bernhard Moser
Data-driven and knowledge-based modeling
- 10
- 2008
- Thomas Natschläger
- Johannes Himmelbauer
- Holger Schöner
- Friedrich Kokert
- Silvia Mitter
- Herbert Exner
Wissensextraktion mittels maschinellen Lernens zum besseren Prozessverständnis in der Stahlerzeugung
- 3
- 2007
- Mario Drobics
- Johannes Himmelbauer
Creating comprehensible regression models
- 7
- 2004
- Johannes Himmelbauer
- Mario Drobics
Regularized numerical optimization of fuzzy rule bases

DI Johannes Himmelbauer

Publikationen

Discovering DataOps: A Comprehensive Review of Definitions, Use Cases, and Tools

Tackling semantic shift in industrial streaming data over time

Detecting anomalies in production quality data using a method based on The Chi-Square Test Statistic

Towards a data-driven approach for fraud detection in the social insurance field: A case study in Upper Austria

Building defect prediction models in practice

Noise in bug report data and the impact on defect prediction results

Sparse signal processing technique in multimodal dispersive SHM

On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis

Data-driven and knowledge-based modeling

Wissensextraktion mittels maschinellen Lernens zum besseren Prozessverständnis in der Stahlerzeugung

Creating comprehensible regression models

Regularized numerical optimization of fuzzy rule bases