Martin Kohlhase

14 papers C 4Misc 1Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Active learning evaluation metrics for classification and regression frameworks.
Eng. Appl. Artif. Intell.
Alaa Tharwat, Bjarne Jaster, Wolfram Schenck, Martin Kohlhase
2025 C conf
AI Workflow for Scarce Data: A Modular Approach to Optimise Processes.
ETFA
Julian Bültemeier, Christoph-Alexander Holst, Volker Lohweg, Marvin Schöne, Bjarne Jaster, Martin Kohlhase
2025 J jnl
Incorporation of structural properties of the response surface into oblique model trees.
Autom.
Marvin Schöne, Martin Kohlhase, Oliver Nelles
2025 J jnl
Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems.
Big Data Cogn. Comput.
Marvin Niederhaus, Nico Migenda, Julian Weller, Martin Kohlhase, Wolfram Schenck
2024 Misc conf
Technical Readiness of Prescriptive Analytics Platforms: A Survey.
FRUCT
Marvin Niederhaus, Nico Migenda, Julian Weller, Wolfram Schenck, Martin Kohlhase
2022 J jnl
Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.
Sensors
Koenraad Vandevoorde, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, Wolfram Schenck
2022 C conf
Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes.
IDEAL
Tim Voigt, Marvin Schöne, Martin Kohlhase, Oliver Nelles, Martin Kuhn
2021 C conf
Advanced Data Analytics Platform for Manufacturing Companies.
ETFA
Tim Voigt, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, Martin Kohlhase
2021 — conf
Curvature-Oriented Splitting for Multivariate Model Trees.
SSCI
Marvin Schöne, Martin Kohlhase
2021 — conf
Space-Filling Designs for Experiments with Assembled Products.
MSIE
Tim Voigt, Marvin Schöne, Martin Kohlhase, Oliver Nelles, Martin Kuhn
2021 — conf
Variational Autoencoder based Novelty Detection for Real-World Time Series.
MSIE
Luca Steinmann, Nico Migenda, Tim Voigt, Martin Kohlhase, Wolfram Schenck
2020 C conf
Incremental Latin Hypercube Additive Design for LOLIMOT.
ETFA
Tim Voigt, Martin Kohlhase, Oliver Nelles
2020 — conf
Least Squares Approach for Multivariate Split Selection in Regression Trees.
IDEAL (1)
Marvin Schöne, Martin Kohlhase
2009 J jnl
Brennraumdruckbasierte Extremwertregelung für direkteinspritzende Ottomotoren (Self-Tuning Extremum Control Based on Cylinder Pressure Sensors for Direct Injection Spark Ignition Engines).
Autom.
Martin Kohlhase, Rolf Isermann