Self-propelled harvesting machine having a vertically controlled header M Kohlhase, A Weilenberg US Patent 9,345,191, 2016 | 13 | 2016 |
Brennraumdruckbasiertes Motormanagement für Otto-und Dieselmotoren zur Verbrauchs-und Emissionsreduktion M Kohlhase VDI-Verlag, 2011 | 13 | 2011 |
Incremental DoE and modeling methodology with Gaussian process regression: an industrially applicable approach to incorporate expert knowledge T Voigt, M Kohlhase, O Nelles Mathematics 9 (19), 2479, 2021 | 11 | 2021 |
Method for operating a self-propelled harvesting machine, and self-propelled harvesting machine D Buermann, M Kohlhase, U Beschorn US Patent 9,253,943, 2016 | 10 | 2016 |
Using artificial intelligence for assistance systems to bring motor learning principles into real world motor tasks K Vandevoorde, L Vollenkemper, C Schwan, M Kohlhase, W Schenck Sensors 22 (7), 2481, 2022 | 6 | 2022 |
Incremental latin hypercube additive design for lolimot T Voigt, M Kohlhase, O Nelles 2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020 | 5 | 2020 |
Towards a systematic approach for Prescriptive Analytics use cases in smart factories J Weller, N Migenda, R Liu, A Wegel, S von Enzberg, M Kohlhase, ... International Conference on Machine Learning For Cyber-Physical Systems, 89-100, 2023 | 4 | 2023 |
Variational autoencoder based novelty detection for real-world time series L Steinmann, N Migenda, T Voigt, M Kohlhase, W Schenck Proceedings of the 2021 3rd International Conference on Management Science …, 2021 | 4 | 2021 |
Humanzentrierte ablaufplanung von montagelinien/human-centered scheduling in assembly lines-plug and play: Efficient algorithms minimize stress in flow shops L Vollenkemper, F Grumbach, M Kohlhase, P Reusch wt Werkstattstechnik online 113 (04), 2023 | 3 | 2023 |
Brennraumdruckbasierte extremwertregelung für direkteinspritzende ottomotoren self-tuning extremum control based on cylinder pressure sensors for direct injection spark … M Kohlhase, R Isermann at-Automatisierungstechnik 57 (1), 23-31, 2009 | 3 | 2009 |
Self-Tuning Extremum Control Based on Cylinder Pressure Sensors for Direct injection Spark Ignition Engines M Kohlhase, R Isermann AT-AUTOMATISIERUNGSTECHNIK 57 (1), 23-31, 2009 | 3 | 2009 |
Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories J Weller, N Migenda, A Wegel, M Kohlhase, W Schenck, R Dumitrescu 2023 IEEE International Conference on Advances in Data-Driven Analytics And …, 2023 | 2 | 2023 |
Benchmarking of Machine Learning Models for Tabular Scarce Data J Kösters, M Schöne, M Kohlhase | 2 | 2023 |
Assistenzsystem zur Qualitätssicherung von IoT-Geräten basierend auf AutoML und SHAP J Ewerszumrode, M Schöne, S Godt, M Kohlhase PROCEEDINGS 31. WORKSHOP COMPUTATIONAL INTELLIGENCE 25, 285, 2021 | 2 | 2021 |
Advanced Data Analytics Platform for Manufacturing Companies T Voigt, N Migenda, M Schöne, D Pelkmann, M Fricke, W Schenck, ... 2021 26th IEEE International Conference on Emerging Technologies and Factory …, 2021 | 2 | 2021 |
Space-filling designs for experiments with assembled products T Voigt, M SCHONE, M Kohlhase, O Nelles, M Kuhn Proceedings of the 2021 3rd International Conference on Management Science …, 2021 | 2 | 2021 |
Least Squares Approach for Multivariate Split Selection in Regression Trees M Schöne, M Kohlhase Intelligent Data Engineering and Automated Learning–IDEAL 2020: 21st …, 2020 | 2 | 2020 |
Inkrementelle Modellbildung von statischen Prozessen auf Basis von Latin Hypercube Designs T Voigt, M Kohlhase, O Nelles Proceedings-29. Workshop Computational Intelligence, 267-288, 2019 | 2 | 2019 |
Brennraumdruckbasierte Extremwertregelung der Verbrennungsschwerpunktlage von Benzin-direkteinspritzenden Ottomotoren M Kohlhase, R Isermann, V Ricken, M Klenk VDIBERICHT 2009, 77, 2008 | 2 | 2008 |
Technical Readiness of Prescriptive Analytics Platforms: A Survey M Niederhaus, N Migenda, J Weller, W Schenck, M Kohlhase 2024 35th Conference of Open Innovations Association (FRUCT), 509-519, 2024 | 1 | 2024 |