Johannes Himmelbauer

Building Defect Prediction Models in Practice

Rudolf Ramler, Thomas Natschläger, Johannes Himmelbauer, 2014 .

Noise in Bug Report Data and the Impact on Defect Prediction Results

Rudolf Ramler, Johannes Himmelbauer, Johannes Himmelbauer, 2013, 2013 Joint Conference of the 23rd International Workshop on Software Measurement and the 8th International Conference on Software Process and Product Measurement.

Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic

Johannes Himmelbauer, Michael Mayr, 2020, DaWaK.

Tackling Semantic Shift in Industrial Streaming Data Over Time

Lisa Ehrlinger, Johannes Himmelbauer, Christian Lettner, 2020 .

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

Bernhard Moser, Johannes Himmelbauer, Jean-Luc Bouchot, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Regularized numerical optimization of fuzzy rule bases

Mario Drobics, Johannes Himmelbauer, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

Towards a Data-Driven Approach for Fraud Detection in the Social Insurance Field: A Case Study in Upper Austria

Jorge Martínez Gil, Johannes Himmelbauer, Michael Ksen, 2019, EGOVIS.

Creating comprehensible regression models

Mario Drobics, Johannes Himmelbauer, 2007, Soft Comput..

Data-Driven and Knowledge-Based Modeling

Edwin Lughofer, Bernhard Moser, Erich Peter Klement, 2009, Hagenberg Research.

Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications

Jorge Martínez Gil, Bernhard Heinzl, Michael Rossbory, 2021, 2021 IEEE 19th International Conference on Industrial Informatics (INDIN).

Creating comprehensible regression models Inductive learning and optimization of fuzzy regression trees using comprehensible fuzzy predicates

Mario Drobics, Johannes Himmelbauer, .