Martin Kohlhase

According to our database, Martin Kohlhase authored at least 10 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Technical Readiness of Prescriptive Analytics Platforms: A Survey.

Marvin Niederhaus, Nico Migenda, Julian Weller, Wolfram Schenck, Martin Kohlhase

Proceedings of the 35th Conference of Open Innovations Association, 2024

2022

Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.

Koenraad Vandevoorde, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, Wolfram Schenck

Sensors, 2022

Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes.

Tim Voigt, Marvin Schöne, Martin Kohlhase, Oliver Nelles, Martin Kuhn

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

2021

Curvature-Oriented Splitting for Multivariate Model Trees.

Marvin Schöne, Martin Kohlhase

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Space-Filling Designs for Experiments with Assembled Products.

Tim Voigt, Marvin Schöne, Martin Kohlhase, Oliver Nelles, Martin Kuhn

Proceedings of the MSIE 2021: 3rd International Conference on Management Science and Industrial Engineering, Osaka, Japan, April 2, 2021

Variational Autoencoder based Novelty Detection for Real-World Time Series.

Luca Steinmann, Nico Migenda, Tim Voigt, Martin Kohlhase, Wolfram Schenck

Proceedings of the MSIE 2021: 3rd International Conference on Management Science and Industrial Engineering, Osaka, Japan, April 2, 2021

Advanced Data Analytics Platform for Manufacturing Companies.

Tim Voigt, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, Martin Kohlhase

Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

2020

Least Squares Approach for Multivariate Split Selection in Regression Trees.

Marvin Schöne, Martin Kohlhase

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Incremental Latin Hypercube Additive Design for LOLIMOT.

Tim Voigt, Martin Kohlhase, Oliver Nelles

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

2009

Brennraumdruckbasierte Extremwertregelung für direkteinspritzende Ottomotoren (Self-Tuning Extremum Control Based on Cylinder Pressure Sensors for Direct Injection Spark Ignition Engines).

Martin Kohlhase, Rolf Isermann

Autom., 2009