28 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5789
Dockhorn, Frederick-Mortimer, and Martin Kohlhase. “An Application-Oriented Review of Standard and Integral Sparse Identification of Nonlinear Dynamics.” In Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024, edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut, 53–76. KIT Scientific Publishing, 2024. https://doi.org/10.5445/KSP/1000174544.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5497
Weller, Julian, Nico Migenda, Sebastian von Enzberg, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Design Decisions for Integrating Prescriptive Analytics Use Cases into Smart Factories.” Procedia CIRP 128 (2024): 424–29. https://doi.org/10.1016/j.procir.2024.03.022.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 4699
Niederhaus, Marvin, Nico Migenda, Julian Weller, Wolfram Schenck, and Martin Kohlhase. “Technical Readiness of Prescriptive Analytics Platforms: A Survey.” In 2024 35th Conference of Open Innovations Association (FRUCT), edited by IEEE, 509–19. IEEE, 2024. https://doi.org/10.23919/FRUCT61870.2024.10516367.
HSBI-PUB
| DOI
2024 | Buchbeitrag | FH-PUB-ID: 4915
Weller, Julian, Nico Migenda, Rui Liu, Arthur Wegel, Sebastian von Enzberg, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories.” In Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023, edited by Oliver Niggemann, Jürgen Beyerer, Maria Krantz, and Christian Kühnert, 18:89–100. Technologien Für Die Intelligente Automation. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-47062-2_9.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4913
Weller, Julian, Nico Migenda, Yash Naik, Tim Heuwinkel, Arno Kühn, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories.” Mathematics 12, no. 17 (2024). https://doi.org/10.3390/math12172663.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4700
Weller, Julian, Nico Migenda, Arthur Wegel, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories.” In 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS), edited by IEEE, 1–7. IEEE, 2023. https://doi.org/10.1109/ADACIS59737.2023.10424368.
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| DOI
2023 | Diskussionspapier | FH-PUB-ID: 3729 | 
Kösters, Justus, Marvin Schöne, and Martin Kohlhase. Benchmarking of Machine Learning Models for Tabular Scarce Data, n.d.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3713 |
Jaster, Bjarne, and Martin Kohlhase. “Active Learning for Regression Problems with Ensemble Methods.” In Proceedings - 33. Workshop Computational Intelligence, edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut, 9–29. Karlsruher Institut für Technologie (KIT), 2023. https://doi.org/10.5445/KSP/1000162754.
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2023 | Artikel | FH-PUB-ID: 2855 |
Vollenkemper, Lukas, Marvin Mönikes, Florian Wortmann, Melanie Rudolph-Puls, Martin Kohlhase, Angelika Röchter, and Christian Ewering. “HUMANZENTRIERTE PRODUKTIONSPLANUNG MIT KI - Entwicklung Eines Assistenzsystems.” Arbeitswelt.Plus Working Paper, 2023. https://doi.org/10.55594/UXIT4205.
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2023 | Artikel | FH-PUB-ID: 2849 |
Vollenkemper, Lukas, Felix Grumbach, Martin Kohlhase, and Pascal Reusch. “Humanzentrierte Ablaufplanung von Montagelinien/Human-Centered Scheduling in Assembly Lines - Plug and Play: Efficient Algorithms Minimize Stress in Flow Shops.” Wt Werkstattstechnik Online 113, no. 04 (2023): 158–63. https://doi.org/10.37544/1436-4980-2023-04-58.
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2022 | Artikel | FH-PUB-ID: 1799 |
Vandevoorde, Koenraad, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, and Wolfram Schenck. “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.” Sensors 22, no. 7 (2022). https://doi.org/10.3390/s22072481.
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2022 | Konferenzbeitrag | FH-PUB-ID: 2232
Voigt, Tim, Marvin Schöne, Martin Kohlhase, Oliver Nelles, and Martin Kuhn. “Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes.” In Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, edited by Hujun Yin, David Camacho, and Peter Tino, 379–90. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-21753-1_37.
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| DOI
2022 | Buchbeitrag | FH-PUB-ID: 2291 |
Hanitz, Marcel, Marvin Schöne, Tim Voigt, and Martin Kohlhase. “Analysis of the Behavior of Online Decision Trees Under Concept Drift at the Example of FIMT-DD.” In Machine Learning and Data Mining in Pattern Recognition, MLDM 2022, edited by Petra Perner, 121–35. Leipzig: ibai-publishing, 2022.
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2022 | Konferenzbeitrag | FH-PUB-ID: 2277 |
Vollenkemper, Lukas, and Martin Kohlhase. “Spatial Temporal Transformer Networks for Sparse Motion Capture Applications.” In PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE, edited by Horst Schulte, Frank Hoffman, Ralf Mikut, and Karlsruhier Institut für Technologie (KIT), Vol. 32. WORKSHOP COMPUTATIONAL INTELLIGENCE. Karlsruhe: KIT Scientific Publishing, 2022. https://doi.org/10.5445/KSP/1000151141.
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2021 | Konferenzbeitrag | FH-PUB-ID: 1912
Schöne, Marvin, and Martin Kohlhase. “Curvature-Oriented Splitting for Multivariate Model Trees.” In 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01–09. IEEE, 2021. https://doi.org/10.1109/SSCI50451.2021.9659858.
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2021 | Konferenzbeitrag | FH-PUB-ID: 1560 |
Ewerszumrode, Jan, Marvin Schöne, Stephan Godt, and Martin Kohlhase. “Assistenzsystem zur Qualitätssicherung von IoT-Geräten basierend auf AutoML und SHAP.” In Proceedings - 31. Workshop Computational Intelligence , edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut, 285–305. KIT Scientific Publishing, 2021. https://doi.org/10.5445/KSP/1000138532.
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2021 | Konferenzbeitrag | FH-PUB-ID: 3718
Voigt, Tim, Marvin Schöne, Martin Kohlhase, Oliver Nelles, and Martin Kuhn. “Space-Filling Designs for Experiments with Assembled Products.” In 2021 3rd International Conference on Management Science and Industrial Engineering, 192–99. New York, NY, USA: ACM, 2021. https://doi.org/10.1145/3460824.3460854.
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2021 | Artikel | FH-PUB-ID: 3717 |
Voigt, Tim, Martin Kohlhase, and Oliver Nelles. “Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge.” Mathematics 9, no. 19 (2021). https://doi.org/10.3390/math9192479.
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2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, and Martin Kohlhase. “Advanced Data Analytics Platform for Manufacturing Companies.” In 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), 01–08. IEEE, 2021. https://doi.org/10.1109/ETFA45728.2021.9613499.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Steinmann, Luca, Nico Migenda, Tim Voigt, Martin Kohlhase, and Wolfram Schenck. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” In 2021 3rd International Conference on Management Science and Industrial Engineering, 1–7. New York, NY, USA: ACM, 2021. https://doi.org/10.1145/3460824.3460825.
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1916
Schöne, Marvin, and Martin Kohlhase. “Least Squares Approach for Multivariate Split Selection in Regression Trees.” In Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I, edited by Cesar Analide, Paulo Novais, David Camacho, and Hujun Yin, 41–50. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-62362-3_5.
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2020 | Buchbeitrag | FH-PUB-ID: 1915 |
Schöne, Marvin, and Martin Kohlhase. “Least-Squares-Based Construction Algorithm for Oblique and Mixed Regression Trees.” In Proceedings - 30. Workshop Computational Intelligence, edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut. Karlsruhe: KIT Scientific Publishing, 2020. https://doi.org/10.5445/KSP/1000124139.
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2020 | Konferenzbeitrag | FH-PUB-ID: 1557
Godt, Stephan, and Martin Kohlhase. “Identifikation eines nichtlinearen dynamischen Mehrgrößensystems mit rekurrenten neuronalen Netzen im Vergleich zu lokal-affinen Zustandsraummodellen.” In Proceedings - 30. Workshop Computational Intelligence, edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut, 159–80. Karlsruhe: KIT Scientific Publishing, 2020. https://doi.org/10.5445/KSP/1000124139.
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1367
Voigt, Tim, Martin Kohlhase, and Oliver Nelles. “Incremental Latin Hypercube Additive Design for LOLIMOT.” In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by Institute of Electrical and Electronics Engineers (IEEE), 1602–9. IEEE, 2020. https://doi.org/10.1109/ETFA46521.2020.9212173.
HSBI-PUB
| DOI
2020 | Artikel | FH-PUB-ID: 1368
Voigt, Tim, Martin Kohlhase, and Armin Peter. “Bestandsanlagen in der smarten Produktion, Integrationsstrategien anhand eines Praxisbeispiels.” atp magazin 62, no. 04 (2020): 62–69.
HSBI-PUB
2019 | Konferenzbeitrag | FH-PUB-ID: 1371 |
Voigt, Tim, Martin Kohlhase, and Oliver Nelles. “Inkrementelle Modellbildung von statischen Prozessen auf Basis von Latin Hypercube Designs.” In Proceedings - 29. Workshop Computational Intelligence, 267–88. KIT Scientific Publishing, Karlsruhe, 2019. https://doi.org/10.5445/KSP/1000098736.
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2019 | Konferenzbeitrag | FH-PUB-ID: 1559 |
Godt, Stephan, and Martin Kohlhase. “Data Mining im geschlossenen Regelkreis basierend auf adaptiven Kennfeldern mit integriertem Anti-Windup-Mechanismus.” In Proceedings - 29. Workshop Computational Intelligence, edited by Frank Hoffmann, Eyke Hüllermeier, and Ralf Mikut, 51–72. Karlsruhe: KIT Scientific Publishing, 2019. https://doi.org/10.5445/KSP/1000098736.
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2018 | Konferenzbeitrag | FH-PUB-ID: 1369 |
Voigt, Tim, and Martin Kohlhase. “Schätzung von datenbasierten lokal-linearen Modellen auf der Grundlage von LOLIMOT für den systematischen Entwurf von lokal-linearen Zustandsreglern.” In Proceedings - 28. Workshop Computational Intelligence, 93–111. KIT Scientific Publishing, Karlsruhe, 2018.
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28 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5789
Dockhorn, Frederick-Mortimer, and Martin Kohlhase. “An Application-Oriented Review of Standard and Integral Sparse Identification of Nonlinear Dynamics.” In Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024, edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut, 53–76. KIT Scientific Publishing, 2024. https://doi.org/10.5445/KSP/1000174544.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5497
Weller, Julian, Nico Migenda, Sebastian von Enzberg, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Design Decisions for Integrating Prescriptive Analytics Use Cases into Smart Factories.” Procedia CIRP 128 (2024): 424–29. https://doi.org/10.1016/j.procir.2024.03.022.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 4699
Niederhaus, Marvin, Nico Migenda, Julian Weller, Wolfram Schenck, and Martin Kohlhase. “Technical Readiness of Prescriptive Analytics Platforms: A Survey.” In 2024 35th Conference of Open Innovations Association (FRUCT), edited by IEEE, 509–19. IEEE, 2024. https://doi.org/10.23919/FRUCT61870.2024.10516367.
HSBI-PUB
| DOI
2024 | Buchbeitrag | FH-PUB-ID: 4915
Weller, Julian, Nico Migenda, Rui Liu, Arthur Wegel, Sebastian von Enzberg, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories.” In Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023, edited by Oliver Niggemann, Jürgen Beyerer, Maria Krantz, and Christian Kühnert, 18:89–100. Technologien Für Die Intelligente Automation. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-47062-2_9.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4913
Weller, Julian, Nico Migenda, Yash Naik, Tim Heuwinkel, Arno Kühn, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories.” Mathematics 12, no. 17 (2024). https://doi.org/10.3390/math12172663.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4700
Weller, Julian, Nico Migenda, Arthur Wegel, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories.” In 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS), edited by IEEE, 1–7. IEEE, 2023. https://doi.org/10.1109/ADACIS59737.2023.10424368.
HSBI-PUB
| DOI
2023 | Diskussionspapier | FH-PUB-ID: 3729 |
Kösters, Justus, Marvin Schöne, and Martin Kohlhase. Benchmarking of Machine Learning Models for Tabular Scarce Data, n.d.
HSBI-PUB
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2023 | Konferenzbeitrag | FH-PUB-ID: 3713 |
Jaster, Bjarne, and Martin Kohlhase. “Active Learning for Regression Problems with Ensemble Methods.” In Proceedings - 33. Workshop Computational Intelligence, edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut, 9–29. Karlsruher Institut für Technologie (KIT), 2023. https://doi.org/10.5445/KSP/1000162754.
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2023 | Artikel | FH-PUB-ID: 2855 |
Vollenkemper, Lukas, Marvin Mönikes, Florian Wortmann, Melanie Rudolph-Puls, Martin Kohlhase, Angelika Röchter, and Christian Ewering. “HUMANZENTRIERTE PRODUKTIONSPLANUNG MIT KI - Entwicklung Eines Assistenzsystems.” Arbeitswelt.Plus Working Paper, 2023. https://doi.org/10.55594/UXIT4205.
HSBI-PUB
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2023 | Artikel | FH-PUB-ID: 2849 |
Vollenkemper, Lukas, Felix Grumbach, Martin Kohlhase, and Pascal Reusch. “Humanzentrierte Ablaufplanung von Montagelinien/Human-Centered Scheduling in Assembly Lines - Plug and Play: Efficient Algorithms Minimize Stress in Flow Shops.” Wt Werkstattstechnik Online 113, no. 04 (2023): 158–63. https://doi.org/10.37544/1436-4980-2023-04-58.
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2022 | Artikel | FH-PUB-ID: 1799 |
Vandevoorde, Koenraad, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, and Wolfram Schenck. “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.” Sensors 22, no. 7 (2022). https://doi.org/10.3390/s22072481.
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2022 | Konferenzbeitrag | FH-PUB-ID: 2232
Voigt, Tim, Marvin Schöne, Martin Kohlhase, Oliver Nelles, and Martin Kuhn. “Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes.” In Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, edited by Hujun Yin, David Camacho, and Peter Tino, 379–90. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-21753-1_37.
HSBI-PUB
| DOI
2022 | Buchbeitrag | FH-PUB-ID: 2291 |
Hanitz, Marcel, Marvin Schöne, Tim Voigt, and Martin Kohlhase. “Analysis of the Behavior of Online Decision Trees Under Concept Drift at the Example of FIMT-DD.” In Machine Learning and Data Mining in Pattern Recognition, MLDM 2022, edited by Petra Perner, 121–35. Leipzig: ibai-publishing, 2022.
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2022 | Konferenzbeitrag | FH-PUB-ID: 2277 |
Vollenkemper, Lukas, and Martin Kohlhase. “Spatial Temporal Transformer Networks for Sparse Motion Capture Applications.” In PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE, edited by Horst Schulte, Frank Hoffman, Ralf Mikut, and Karlsruhier Institut für Technologie (KIT), Vol. 32. WORKSHOP COMPUTATIONAL INTELLIGENCE. Karlsruhe: KIT Scientific Publishing, 2022. https://doi.org/10.5445/KSP/1000151141.
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2021 | Konferenzbeitrag | FH-PUB-ID: 1912
Schöne, Marvin, and Martin Kohlhase. “Curvature-Oriented Splitting for Multivariate Model Trees.” In 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01–09. IEEE, 2021. https://doi.org/10.1109/SSCI50451.2021.9659858.
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2021 | Konferenzbeitrag | FH-PUB-ID: 1560 |
Ewerszumrode, Jan, Marvin Schöne, Stephan Godt, and Martin Kohlhase. “Assistenzsystem zur Qualitätssicherung von IoT-Geräten basierend auf AutoML und SHAP.” In Proceedings - 31. Workshop Computational Intelligence , edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut, 285–305. KIT Scientific Publishing, 2021. https://doi.org/10.5445/KSP/1000138532.
HSBI-PUB
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2021 | Konferenzbeitrag | FH-PUB-ID: 3718
Voigt, Tim, Marvin Schöne, Martin Kohlhase, Oliver Nelles, and Martin Kuhn. “Space-Filling Designs for Experiments with Assembled Products.” In 2021 3rd International Conference on Management Science and Industrial Engineering, 192–99. New York, NY, USA: ACM, 2021. https://doi.org/10.1145/3460824.3460854.
HSBI-PUB
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| Download (ext.)
2021 | Artikel | FH-PUB-ID: 3717 |
Voigt, Tim, Martin Kohlhase, and Oliver Nelles. “Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge.” Mathematics 9, no. 19 (2021). https://doi.org/10.3390/math9192479.
HSBI-PUB
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2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, and Martin Kohlhase. “Advanced Data Analytics Platform for Manufacturing Companies.” In 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), 01–08. IEEE, 2021. https://doi.org/10.1109/ETFA45728.2021.9613499.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Steinmann, Luca, Nico Migenda, Tim Voigt, Martin Kohlhase, and Wolfram Schenck. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” In 2021 3rd International Conference on Management Science and Industrial Engineering, 1–7. New York, NY, USA: ACM, 2021. https://doi.org/10.1145/3460824.3460825.
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1916
Schöne, Marvin, and Martin Kohlhase. “Least Squares Approach for Multivariate Split Selection in Regression Trees.” In Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I, edited by Cesar Analide, Paulo Novais, David Camacho, and Hujun Yin, 41–50. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-62362-3_5.
HSBI-PUB
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| Download (ext.)
2020 | Buchbeitrag | FH-PUB-ID: 1915 |
Schöne, Marvin, and Martin Kohlhase. “Least-Squares-Based Construction Algorithm for Oblique and Mixed Regression Trees.” In Proceedings - 30. Workshop Computational Intelligence, edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut. Karlsruhe: KIT Scientific Publishing, 2020. https://doi.org/10.5445/KSP/1000124139.
HSBI-PUB
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2020 | Konferenzbeitrag | FH-PUB-ID: 1557
Godt, Stephan, and Martin Kohlhase. “Identifikation eines nichtlinearen dynamischen Mehrgrößensystems mit rekurrenten neuronalen Netzen im Vergleich zu lokal-affinen Zustandsraummodellen.” In Proceedings - 30. Workshop Computational Intelligence, edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut, 159–80. Karlsruhe: KIT Scientific Publishing, 2020. https://doi.org/10.5445/KSP/1000124139.
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1367
Voigt, Tim, Martin Kohlhase, and Oliver Nelles. “Incremental Latin Hypercube Additive Design for LOLIMOT.” In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by Institute of Electrical and Electronics Engineers (IEEE), 1602–9. IEEE, 2020. https://doi.org/10.1109/ETFA46521.2020.9212173.
HSBI-PUB
| DOI
2020 | Artikel | FH-PUB-ID: 1368
Voigt, Tim, Martin Kohlhase, and Armin Peter. “Bestandsanlagen in der smarten Produktion, Integrationsstrategien anhand eines Praxisbeispiels.” atp magazin 62, no. 04 (2020): 62–69.
HSBI-PUB
2019 | Konferenzbeitrag | FH-PUB-ID: 1371 |
Voigt, Tim, Martin Kohlhase, and Oliver Nelles. “Inkrementelle Modellbildung von statischen Prozessen auf Basis von Latin Hypercube Designs.” In Proceedings - 29. Workshop Computational Intelligence, 267–88. KIT Scientific Publishing, Karlsruhe, 2019. https://doi.org/10.5445/KSP/1000098736.
HSBI-PUB
| DOI
| Download (ext.)
2019 | Konferenzbeitrag | FH-PUB-ID: 1559 |
Godt, Stephan, and Martin Kohlhase. “Data Mining im geschlossenen Regelkreis basierend auf adaptiven Kennfeldern mit integriertem Anti-Windup-Mechanismus.” In Proceedings - 29. Workshop Computational Intelligence, edited by Frank Hoffmann, Eyke Hüllermeier, and Ralf Mikut, 51–72. Karlsruhe: KIT Scientific Publishing, 2019. https://doi.org/10.5445/KSP/1000098736.
HSBI-PUB
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| Download (ext.)
2018 | Konferenzbeitrag | FH-PUB-ID: 1369 |
Voigt, Tim, and Martin Kohlhase. “Schätzung von datenbasierten lokal-linearen Modellen auf der Grundlage von LOLIMOT für den systematischen Entwurf von lokal-linearen Zustandsreglern.” In Proceedings - 28. Workshop Computational Intelligence, 93–111. KIT Scientific Publishing, Karlsruhe, 2018.
HSBI-PUB
| Download (ext.)