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ORCIDMartin Kohlhase
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2020 – today
- 2025
[j4]Marvin Schöne
, Martin Kohlhase, Oliver Nelles:
Incorporation of structural properties of the response surface into oblique model trees. Autom. 73(10): 727-739 (2025)- [j3]Marvin Niederhaus, Nico Migenda, Julian Weller, Martin Kohlhase, Wolfram Schenck:
Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems. Big Data Cogn. Comput. 9(10): 261 (2025) - [c9]Julian Bültemeier, Christoph-Alexander Holst, Volker Lohweg, Marvin Schöne, Bjarne Jaster, Martin Kohlhase:
AI Workflow for Scarce Data: A Modular Approach to Optimise Processes. ETFA 2025: 1-4 - 2024
- [c8]Marvin Niederhaus, Nico Migenda, Julian Weller, Wolfram Schenck, Martin Kohlhase:
Technical Readiness of Prescriptive Analytics Platforms: A Survey. FRUCT 2024: 509-519 - 2022
- [j2]Koenraad Vandevoorde, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, Wolfram Schenck:
Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks. Sensors 22(7): 2481 (2022) - [c7]Tim Voigt, Marvin Schöne, Martin Kohlhase, Oliver Nelles, Martin Kuhn:
Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes. IDEAL 2022: 379-390 - 2021
- [c6]Tim Voigt, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, Martin Kohlhase:
Advanced Data Analytics Platform for Manufacturing Companies. ETFA 2021: 1-8 - [c5]Luca Steinmann, Nico Migenda, Tim Voigt, Martin Kohlhase, Wolfram Schenck:
Variational Autoencoder based Novelty Detection for Real-World Time Series. MSIE 2021: 1-7 - [c4]Tim Voigt, Marvin Schöne, Martin Kohlhase, Oliver Nelles, Martin Kuhn:
Space-Filling Designs for Experiments with Assembled Products. MSIE 2021: 192-199 - [c3]Marvin Schöne, Martin Kohlhase:
Curvature-Oriented Splitting for Multivariate Model Trees. SSCI 2021: 1-9 - 2020
- [c2]Tim Voigt, Martin Kohlhase, Oliver Nelles:
Incremental Latin Hypercube Additive Design for LOLIMOT. ETFA 2020: 1602-1609 - [c1]Marvin Schöne, Martin Kohlhase:
Least Squares Approach for Multivariate Split Selection in Regression Trees. IDEAL (1) 2020: 41-50
2000 – 2009
- 2009
- [j1]Martin Kohlhase, Rolf Isermann:
Brennraumdruckbasierte Extremwertregelung für direkteinspritzende Ottomotoren (Self-Tuning Extremum Control Based on Cylinder Pressure Sensors for Direct Injection Spark Ignition Engines). Autom. 57(1): 23-31 (2009)
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last updated on 2025-12-09 00:33 CET by the dblp team
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