16 Publikationen
2025 | Artikel | FH-PUB-ID: 6244 | 
Niederhaus, Marvin, Nico Migenda, Julian Weller, Martin Kohlhase, and Wolfram Schenck. “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems.” Big Data and Cognitive Computing 9, no. 10 (2025). https://doi.org/10.3390/bdcc9100261.
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2024 | Konferenzbeitrag | FH-PUB-ID: 4916
Weller, Julian, Nico Migenda, Arno Kühn, and Roman Dumitrescu. “Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories.” Hannover : publish-Ing., 2024. https://doi.org/10.15488/17721.
HSBI-PUB
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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
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2024 | Artikel | FH-PUB-ID: 4050
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “Adaptive Local Principal Component Analysis Improves the Clustering of High-Dimensional Data.” Pattern Recognition 146 (2024). https://doi.org/10.1016/j.patcog.2023.110030.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4698
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “NGPCA: Clustering of High-Dimensional and Non-Stationary Data Streams.” Software Impacts 20 (2024). https://doi.org/10.1016/j.simpa.2024.100635.
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
2022 | Konferenzbeitrag | FH-PUB-ID: 2569
Hoppe, Christoph, Nico Migenda, David Pelkmann, Daniel Antonius Hötte, and Wolfram Schenck. “Collaborative System for Question Answering in German Case Law Documents.” In Collaborative Networks in Digitalization and Society 5.0, edited by Luis M. Camarinha-Matos, Angel Ortiz, Xavier Boucher, and A. Luís Osório, 303–12. IFIP Advances in Information and Communication Technology. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14844-6_24.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 2570
Hoppe, Christoph, David Pelkmann, Nico Migenda, Daniel Antonius Hotte, and Wolfram Schenck. “Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents.” In 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 29–32. IEEE, 2021. https://doi.org/10.1109/AIKE52691.2021.00011.
HSBI-PUB
| DOI
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
2021 | Artikel | FH-PUB-ID: 1203
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “Adaptive Dimensionality Reduction for Neural Network-Based Online Principal Component Analysis.” PLOS ONE 16, no. 3 (2021). https://doi.org/10.1371/journal.pone.0248896.
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 2574
Migenda, Nico, and Wolfram Schenck. “Adaptive Dimensionality Reduction for Local Principal Component Analysis.” In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 1579–86. IEEE, 2020. https://doi.org/10.1109/ETFA46521.2020.9212129.
HSBI-PUB
| DOI
2019 | Buchbeitrag | FH-PUB-ID: 1208
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “Adaptive Dimensionality Adjustment for Online ‘Principal Component Analysis.’” In Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, edited by Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, and Richard Allmendinger, 76–84. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-33607-3_9.
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16 Publikationen
2025 | Artikel | FH-PUB-ID: 6244 |
Niederhaus, Marvin, Nico Migenda, Julian Weller, Martin Kohlhase, and Wolfram Schenck. “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems.” Big Data and Cognitive Computing 9, no. 10 (2025). https://doi.org/10.3390/bdcc9100261.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4916
Weller, Julian, Nico Migenda, Arno Kühn, and Roman Dumitrescu. “Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories.” Hannover : publish-Ing., 2024. https://doi.org/10.15488/17721.
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 | Artikel | FH-PUB-ID: 4050
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “Adaptive Local Principal Component Analysis Improves the Clustering of High-Dimensional Data.” Pattern Recognition 146 (2024). https://doi.org/10.1016/j.patcog.2023.110030.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4698
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “NGPCA: Clustering of High-Dimensional and Non-Stationary Data Streams.” Software Impacts 20 (2024). https://doi.org/10.1016/j.simpa.2024.100635.
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
2022 | Konferenzbeitrag | FH-PUB-ID: 2569
Hoppe, Christoph, Nico Migenda, David Pelkmann, Daniel Antonius Hötte, and Wolfram Schenck. “Collaborative System for Question Answering in German Case Law Documents.” In Collaborative Networks in Digitalization and Society 5.0, edited by Luis M. Camarinha-Matos, Angel Ortiz, Xavier Boucher, and A. Luís Osório, 303–12. IFIP Advances in Information and Communication Technology. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14844-6_24.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 2570
Hoppe, Christoph, David Pelkmann, Nico Migenda, Daniel Antonius Hotte, and Wolfram Schenck. “Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents.” In 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 29–32. IEEE, 2021. https://doi.org/10.1109/AIKE52691.2021.00011.
HSBI-PUB
| DOI
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
2021 | Artikel | FH-PUB-ID: 1203
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “Adaptive Dimensionality Reduction for Neural Network-Based Online Principal Component Analysis.” PLOS ONE 16, no. 3 (2021). https://doi.org/10.1371/journal.pone.0248896.
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 2574
Migenda, Nico, and Wolfram Schenck. “Adaptive Dimensionality Reduction for Local Principal Component Analysis.” In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 1579–86. IEEE, 2020. https://doi.org/10.1109/ETFA46521.2020.9212129.
HSBI-PUB
| DOI
2019 | Buchbeitrag | FH-PUB-ID: 1208
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “Adaptive Dimensionality Adjustment for Online ‘Principal Component Analysis.’” In Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, edited by Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, and Richard Allmendinger, 76–84. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-33607-3_9.
HSBI-PUB
| DOI