Mirko Kuck

A Genetic Algorithm to Optimize Lazy Learning Parameters for the Prediction of Customer Demands

Bernd Scholz-Reiter, Mirko Kuck, B. Scholz-Reiter, 2013, 2013 12th International Conference on Machine Learning and Applications.

Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data

Sven F. Crone, Michael Freitag, Mirko Kuck, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Potential of data-driven simulation-based optimization for adaptive scheduling and control of dynamic manufacturing systems

Enzo Morosini Frazzon, Michael Freitag, Mirko Kuck, 2016, 2016 Winter Simulation Conference (WSC).

Towards adaptive simulation-based optimization to select individual dispatching rules for production control

Enzo Morosini Frazzon, Michael Freitag, Mirko Kuck, 2017, 2017 Winter Simulation Conference (WSC).