12 Publikationen
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 7976
Gassenmeier, V., Deppe, S., Hernández Rodriguez, T., Kuhfuß, F., Moser, A., Hass, V. C., Kuchemüller, K. B., Pörtner, R., Möller, J., Ifrim, G. A., & Frahm, B. (2022). Model-assisted DoE applied to microalgae processes, Current Research in Biotechnology. Current Research in Biotechnology, 4, 102–119. https://doi.org/10.1016/j.crbiot.2022.01.005
ELSA
| DOI
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 7977
Kuhfuß, F., Gassenmeier, V., Deppe, S., Ifrim, G. A., Hernández Rodriguez, T., & Frahm, B. (2022). View on a mechanistic model of Chlorella vulgaris in incubated shake flasks. Bioprocess and Biosystems Engineering, 45, 15–30. https://doi.org/10.1007/s00449-021-02627-2
ELSA
| DOI
2019 | Konferenz - Beitrag | ELSA-ID: 1994
Bator, M., Dicks, A., Deppe, S., & Lohweg, V. (2019). Anomaly Detection with Root Cause Analysis for Bottling Process. 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019) . 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Zaragoza, Spain . https://doi.org/10.1109/ETFA.2019.8869514
ELSA
| DOI
2018 | Zeitschriftenaufsatz | ELSA-ID: 2010
Wissel, C., Deppe, S., & Lohweg, V. (2018). 3D-Inspektion bei 600m/s - Feinste 3D-Strukturen inline mit hohem Tempo prüfen. SPS-Magazin Ausgabe 1+2/2018, TeDo Verlag GmbH, Marburg, (1/2).
ELSA
2017 | Zeitschriftenaufsatz | ELSA-ID: 2012 | 
Deppe, S., & Lohweg, V. (2017). Evaluation of Similarity Measures for Shift-Invariant Image Motif Discovery. International Journal On Advances in Intelligent Systems, 10(3/4), 434–446.
ELSA
| Download (ext.)
2017 | Konferenz - Beitrag | ELSA-ID: 2022 |
Deppe, S., & Lohweg, V. (2017). Shift-Invariant Motif Discovery in Image Processing “Best Paper Award.” In W. Leister (Ed.), PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications (pp. 27–32). PESARO 2017; Venice, Italy : The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing.
ELSA
| Download (ext.)
2017 | Zeitschriftenaufsatz | ELSA-ID: 2023
Deppe, S., & Lohweg, V. (2017). Survey on Time Series Motif Discovery. WIREs : Forensic Science, 7(2). https://doi.org/ https://doi.org/10.1002/widm.1199
ELSA
| DOI
2016 | Konferenz - Beitrag | ELSA-ID: 2033
Deppe, S., Dicks, A., & Lohweg, V. (2016). Anomaly Detection on ATMs via Time Series Motif Discovery. In 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), Berlin, .
ELSA
2015 | Konferenz - Beitrag | ELSA-ID: 2123 |
Deppe, S., & Lohweg, V. (2015). Shift-Invariant Feature Extraction for Time-Series Motif Discovery. In 25. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA) (pp. 23–45). Dortmund. https://doi.org/10.5445/KSP/1000049620
ELSA
| DOI
| Download (ext.)
2015 | Konferenz - Beitrag | ELSA-ID: 2124 |
Bator, M., Deppe, S., & Lohweg, V. (2015). Relevanzbewertung technischer Informationen mittels Data-Mining Verfahren am Anwendungsfall von Patentdokumenten. In 25. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA). Dortmund.
ELSA
| Download (ext.)
2015 | Kurzbeitrag Konferenz | ELSA-ID: 2125 |
Deppe, S., Dörksen, H., & Lohweg, V. (2015). Multi-Scale Motif Discovery in Image Processing. In Workshop on Probabilistic Graphical Models. Heidelberg, Germany.
ELSA
| Download (ext.)
2014 | Konferenz - Beitrag | ELSA-ID: 2165 |
Deppe, S., & Lohweg, V. (2014). Identification of Multi-Scale Motifs. In 24. Workshop Computational Intelligence (pp. 277–298). Dortmund: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).
ELSA
| Download (ext.)
12 Publikationen
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 7976
Gassenmeier, V., Deppe, S., Hernández Rodriguez, T., Kuhfuß, F., Moser, A., Hass, V. C., Kuchemüller, K. B., Pörtner, R., Möller, J., Ifrim, G. A., & Frahm, B. (2022). Model-assisted DoE applied to microalgae processes, Current Research in Biotechnology. Current Research in Biotechnology, 4, 102–119. https://doi.org/10.1016/j.crbiot.2022.01.005
ELSA
| DOI
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 7977
Kuhfuß, F., Gassenmeier, V., Deppe, S., Ifrim, G. A., Hernández Rodriguez, T., & Frahm, B. (2022). View on a mechanistic model of Chlorella vulgaris in incubated shake flasks. Bioprocess and Biosystems Engineering, 45, 15–30. https://doi.org/10.1007/s00449-021-02627-2
ELSA
| DOI
2019 | Konferenz - Beitrag | ELSA-ID: 1994
Bator, M., Dicks, A., Deppe, S., & Lohweg, V. (2019). Anomaly Detection with Root Cause Analysis for Bottling Process. 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019) . 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Zaragoza, Spain . https://doi.org/10.1109/ETFA.2019.8869514
ELSA
| DOI
2018 | Zeitschriftenaufsatz | ELSA-ID: 2010
Wissel, C., Deppe, S., & Lohweg, V. (2018). 3D-Inspektion bei 600m/s - Feinste 3D-Strukturen inline mit hohem Tempo prüfen. SPS-Magazin Ausgabe 1+2/2018, TeDo Verlag GmbH, Marburg, (1/2).
ELSA
2017 | Zeitschriftenaufsatz | ELSA-ID: 2012 |
Deppe, S., & Lohweg, V. (2017). Evaluation of Similarity Measures for Shift-Invariant Image Motif Discovery. International Journal On Advances in Intelligent Systems, 10(3/4), 434–446.
ELSA
| Download (ext.)
2017 | Konferenz - Beitrag | ELSA-ID: 2022 |
Deppe, S., & Lohweg, V. (2017). Shift-Invariant Motif Discovery in Image Processing “Best Paper Award.” In W. Leister (Ed.), PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications (pp. 27–32). PESARO 2017; Venice, Italy : The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing.
ELSA
| Download (ext.)
2017 | Zeitschriftenaufsatz | ELSA-ID: 2023
Deppe, S., & Lohweg, V. (2017). Survey on Time Series Motif Discovery. WIREs : Forensic Science, 7(2). https://doi.org/ https://doi.org/10.1002/widm.1199
ELSA
| DOI
2016 | Konferenz - Beitrag | ELSA-ID: 2033
Deppe, S., Dicks, A., & Lohweg, V. (2016). Anomaly Detection on ATMs via Time Series Motif Discovery. In 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), Berlin, .
ELSA
2015 | Konferenz - Beitrag | ELSA-ID: 2123 |
Deppe, S., & Lohweg, V. (2015). Shift-Invariant Feature Extraction for Time-Series Motif Discovery. In 25. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA) (pp. 23–45). Dortmund. https://doi.org/10.5445/KSP/1000049620
ELSA
| DOI
| Download (ext.)
2015 | Konferenz - Beitrag | ELSA-ID: 2124 |
Bator, M., Deppe, S., & Lohweg, V. (2015). Relevanzbewertung technischer Informationen mittels Data-Mining Verfahren am Anwendungsfall von Patentdokumenten. In 25. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA). Dortmund.
ELSA
| Download (ext.)
2015 | Kurzbeitrag Konferenz | ELSA-ID: 2125 |
Deppe, S., Dörksen, H., & Lohweg, V. (2015). Multi-Scale Motif Discovery in Image Processing. In Workshop on Probabilistic Graphical Models. Heidelberg, Germany.
ELSA
| Download (ext.)
2014 | Konferenz - Beitrag | ELSA-ID: 2165 |
Deppe, S., & Lohweg, V. (2014). Identification of Multi-Scale Motifs. In 24. Workshop Computational Intelligence (pp. 277–298). Dortmund: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).
ELSA
| Download (ext.)