13 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 4699
Technical Readiness of Prescriptive Analytics Platforms: A Survey
M. Niederhaus, N. Migenda, J. Weller, W. Schenck, M. Kohlhase, in: IEEE (Ed.), 2024 35th Conference of Open Innovations Association (FRUCT), IEEE, 2024, pp. 509–519.
HSBI-PUB
| DOI
M. Niederhaus, N. Migenda, J. Weller, W. Schenck, M. Kohlhase, in: IEEE (Ed.), 2024 35th Conference of Open Innovations Association (FRUCT), IEEE, 2024, pp. 509–519.
2024 | Artikel | FH-PUB-ID: 4698
NGPCA: Clustering of high-dimensional and non-stationary data streams
N. Migenda, R. Möller, W. Schenck, Software Impacts 20 (2024).
HSBI-PUB
| DOI
N. Migenda, R. Möller, W. Schenck, Software Impacts 20 (2024).
2024 | Buchbeitrag | FH-PUB-ID: 4915
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, W. Schenck, R. Dumitrescu, in: O. Niggemann, J. Beyerer, M. Krantz, C. Kühnert (Eds.), Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023, Springer Nature Switzerland, Cham, 2024, pp. 89–100.
HSBI-PUB
| DOI
J. Weller, N. Migenda, R. Liu, A. Wegel, S. von Enzberg, M. Kohlhase, W. Schenck, R. Dumitrescu, in: O. Niggemann, J. Beyerer, M. Krantz, C. Kühnert (Eds.), Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023, Springer Nature Switzerland, Cham, 2024, pp. 89–100.
2024 | Artikel | FH-PUB-ID: 4913
Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories
J. Weller, N. Migenda, Y. Naik, T. Heuwinkel, A. Kühn, M. Kohlhase, W. Schenck, R. Dumitrescu, Mathematics 12 (2024).
HSBI-PUB
| DOI
J. Weller, N. Migenda, Y. Naik, T. Heuwinkel, A. Kühn, M. Kohlhase, W. Schenck, R. Dumitrescu, Mathematics 12 (2024).
2024 | Artikel | FH-PUB-ID: 4050
Adaptive local Principal Component Analysis improves the clustering of high-dimensional data
N. Migenda, R. Möller, W. Schenck, Pattern Recognition 146 (2024).
HSBI-PUB
| DOI
N. Migenda, R. Möller, W. Schenck, Pattern Recognition 146 (2024).
2023 | Konferenzbeitrag | FH-PUB-ID: 4700
Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories
J. Weller, N. Migenda, A. Wegel, M. Kohlhase, W. Schenck, R. Dumitrescu, in: IEEE (Ed.), 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS), IEEE, 2023, pp. 1–7.
HSBI-PUB
| DOI
J. Weller, N. Migenda, A. Wegel, M. Kohlhase, W. Schenck, R. Dumitrescu, in: IEEE (Ed.), 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS), IEEE, 2023, pp. 1–7.
2022 | Konferenzbeitrag | FH-PUB-ID: 2569
Collaborative System for Question Answering in German Case Law Documents
C. Hoppe, N. Migenda, D. Pelkmann, D.A. Hötte, W. Schenck, in: L.M. Camarinha-Matos, A. Ortiz, X. Boucher, A.L. Osório (Eds.), Collaborative Networks in Digitalization and Society 5.0, Springer International Publishing, Cham, 2022, pp. 303–312.
HSBI-PUB
| DOI
C. Hoppe, N. Migenda, D. Pelkmann, D.A. Hötte, W. Schenck, in: L.M. Camarinha-Matos, A. Ortiz, X. Boucher, A.L. Osório (Eds.), Collaborative Networks in Digitalization and Society 5.0, Springer International Publishing, Cham, 2022, pp. 303–312.
2021 | Konferenzbeitrag | FH-PUB-ID: 2570
Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents
C. Hoppe, D. Pelkmann, N. Migenda, D.A. Hotte, W. Schenck, in: 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), IEEE, 2021, pp. 29–32.
HSBI-PUB
| DOI
C. Hoppe, D. Pelkmann, N. Migenda, D.A. Hotte, W. Schenck, in: 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), IEEE, 2021, pp. 29–32.
2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Advanced Data Analytics Platform for Manufacturing Companies
T. Voigt, N. Migenda, M. Schöne, D. Pelkmann, M. Fricke, W. Schenck, M. Kohlhase, in: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), IEEE, 2021, pp. 01–08.
HSBI-PUB
| DOI
T. Voigt, N. Migenda, M. Schöne, D. Pelkmann, M. Fricke, W. Schenck, M. Kohlhase, in: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), IEEE, 2021, pp. 01–08.
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Variational Autoencoder based Novelty Detection for Real-World Time Series
L. Steinmann, N. Migenda, T. Voigt, M. Kohlhase, W. Schenck, in: 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, New York, NY, USA, 2021, pp. 1–7.
HSBI-PUB
| DOI
L. Steinmann, N. Migenda, T. Voigt, M. Kohlhase, W. Schenck, in: 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, New York, NY, USA, 2021, pp. 1–7.
2021 | Artikel | FH-PUB-ID: 1203
Adaptive dimensionality reduction for neural network-based online principal component analysis
N. Migenda, R. Möller, W. Schenck, PLOS ONE 16 (2021).
HSBI-PUB
| DOI
N. Migenda, R. Möller, W. Schenck, PLOS ONE 16 (2021).
2020 | Konferenzbeitrag | FH-PUB-ID: 2574
Adaptive Dimensionality Reduction for Local Principal Component Analysis
N. Migenda, W. Schenck, in: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020, pp. 1579–1586.
HSBI-PUB
| DOI
N. Migenda, W. Schenck, in: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020, pp. 1579–1586.
2019 | Buchbeitrag | FH-PUB-ID: 1208
Adaptive Dimensionality Adjustment for Online “Principal Component Analysis”
N. Migenda, R. Möller, W. Schenck, in: H. Yin, D. Camacho, P. Tino, A.J. Tallón-Ballesteros, R. Menezes, R. Allmendinger (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, Springer International Publishing, Cham, 2019, pp. 76–84.
HSBI-PUB
| DOI
N. Migenda, R. Möller, W. Schenck, in: H. Yin, D. Camacho, P. Tino, A.J. Tallón-Ballesteros, R. Menezes, R. Allmendinger (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, Springer International Publishing, Cham, 2019, pp. 76–84.
13 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 4699
Technical Readiness of Prescriptive Analytics Platforms: A Survey
M. Niederhaus, N. Migenda, J. Weller, W. Schenck, M. Kohlhase, in: IEEE (Ed.), 2024 35th Conference of Open Innovations Association (FRUCT), IEEE, 2024, pp. 509–519.
HSBI-PUB
| DOI
M. Niederhaus, N. Migenda, J. Weller, W. Schenck, M. Kohlhase, in: IEEE (Ed.), 2024 35th Conference of Open Innovations Association (FRUCT), IEEE, 2024, pp. 509–519.
2024 | Artikel | FH-PUB-ID: 4698
NGPCA: Clustering of high-dimensional and non-stationary data streams
N. Migenda, R. Möller, W. Schenck, Software Impacts 20 (2024).
HSBI-PUB
| DOI
N. Migenda, R. Möller, W. Schenck, Software Impacts 20 (2024).
2024 | Buchbeitrag | FH-PUB-ID: 4915
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, W. Schenck, R. Dumitrescu, in: O. Niggemann, J. Beyerer, M. Krantz, C. Kühnert (Eds.), Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023, Springer Nature Switzerland, Cham, 2024, pp. 89–100.
HSBI-PUB
| DOI
J. Weller, N. Migenda, R. Liu, A. Wegel, S. von Enzberg, M. Kohlhase, W. Schenck, R. Dumitrescu, in: O. Niggemann, J. Beyerer, M. Krantz, C. Kühnert (Eds.), Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023, Springer Nature Switzerland, Cham, 2024, pp. 89–100.
2024 | Artikel | FH-PUB-ID: 4913
Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories
J. Weller, N. Migenda, Y. Naik, T. Heuwinkel, A. Kühn, M. Kohlhase, W. Schenck, R. Dumitrescu, Mathematics 12 (2024).
HSBI-PUB
| DOI
J. Weller, N. Migenda, Y. Naik, T. Heuwinkel, A. Kühn, M. Kohlhase, W. Schenck, R. Dumitrescu, Mathematics 12 (2024).
2024 | Artikel | FH-PUB-ID: 4050
Adaptive local Principal Component Analysis improves the clustering of high-dimensional data
N. Migenda, R. Möller, W. Schenck, Pattern Recognition 146 (2024).
HSBI-PUB
| DOI
N. Migenda, R. Möller, W. Schenck, Pattern Recognition 146 (2024).
2023 | Konferenzbeitrag | FH-PUB-ID: 4700
Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories
J. Weller, N. Migenda, A. Wegel, M. Kohlhase, W. Schenck, R. Dumitrescu, in: IEEE (Ed.), 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS), IEEE, 2023, pp. 1–7.
HSBI-PUB
| DOI
J. Weller, N. Migenda, A. Wegel, M. Kohlhase, W. Schenck, R. Dumitrescu, in: IEEE (Ed.), 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS), IEEE, 2023, pp. 1–7.
2022 | Konferenzbeitrag | FH-PUB-ID: 2569
Collaborative System for Question Answering in German Case Law Documents
C. Hoppe, N. Migenda, D. Pelkmann, D.A. Hötte, W. Schenck, in: L.M. Camarinha-Matos, A. Ortiz, X. Boucher, A.L. Osório (Eds.), Collaborative Networks in Digitalization and Society 5.0, Springer International Publishing, Cham, 2022, pp. 303–312.
HSBI-PUB
| DOI
C. Hoppe, N. Migenda, D. Pelkmann, D.A. Hötte, W. Schenck, in: L.M. Camarinha-Matos, A. Ortiz, X. Boucher, A.L. Osório (Eds.), Collaborative Networks in Digitalization and Society 5.0, Springer International Publishing, Cham, 2022, pp. 303–312.
2021 | Konferenzbeitrag | FH-PUB-ID: 2570
Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents
C. Hoppe, D. Pelkmann, N. Migenda, D.A. Hotte, W. Schenck, in: 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), IEEE, 2021, pp. 29–32.
HSBI-PUB
| DOI
C. Hoppe, D. Pelkmann, N. Migenda, D.A. Hotte, W. Schenck, in: 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), IEEE, 2021, pp. 29–32.
2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Advanced Data Analytics Platform for Manufacturing Companies
T. Voigt, N. Migenda, M. Schöne, D. Pelkmann, M. Fricke, W. Schenck, M. Kohlhase, in: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), IEEE, 2021, pp. 01–08.
HSBI-PUB
| DOI
T. Voigt, N. Migenda, M. Schöne, D. Pelkmann, M. Fricke, W. Schenck, M. Kohlhase, in: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), IEEE, 2021, pp. 01–08.
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Variational Autoencoder based Novelty Detection for Real-World Time Series
L. Steinmann, N. Migenda, T. Voigt, M. Kohlhase, W. Schenck, in: 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, New York, NY, USA, 2021, pp. 1–7.
HSBI-PUB
| DOI
L. Steinmann, N. Migenda, T. Voigt, M. Kohlhase, W. Schenck, in: 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, New York, NY, USA, 2021, pp. 1–7.
2021 | Artikel | FH-PUB-ID: 1203
Adaptive dimensionality reduction for neural network-based online principal component analysis
N. Migenda, R. Möller, W. Schenck, PLOS ONE 16 (2021).
HSBI-PUB
| DOI
N. Migenda, R. Möller, W. Schenck, PLOS ONE 16 (2021).
2020 | Konferenzbeitrag | FH-PUB-ID: 2574
Adaptive Dimensionality Reduction for Local Principal Component Analysis
N. Migenda, W. Schenck, in: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020, pp. 1579–1586.
HSBI-PUB
| DOI
N. Migenda, W. Schenck, in: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020, pp. 1579–1586.
2019 | Buchbeitrag | FH-PUB-ID: 1208
Adaptive Dimensionality Adjustment for Online “Principal Component Analysis”
N. Migenda, R. Möller, W. Schenck, in: H. Yin, D. Camacho, P. Tino, A.J. Tallón-Ballesteros, R. Menezes, R. Allmendinger (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, Springer International Publishing, Cham, 2019, pp. 76–84.
HSBI-PUB
| DOI
N. Migenda, R. Möller, W. Schenck, in: H. Yin, D. Camacho, P. Tino, A.J. Tallón-Ballesteros, R. Menezes, R. Allmendinger (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, Springer International Publishing, Cham, 2019, pp. 76–84.