Markus Lange-Hegermann

markus.lange-hegermann@th-owl.de
ID
71761

20 Publikationen

Alle markieren

[20]
2024 | Konferenz - Poster | ELSA-ID: 11605
M. Trilling-Haasler, J. Tebbe, M. Lange-Hegermann, J. Schneider, Yeast filtration with rotating membrane filtration –  a new approach for an economical recovery of beer form surplus yeast , 2024.
ELSA
 
[19]
2024 | Konferenzband - Beitrag | ELSA-ID: 12815 | OA
J. Tebbe, C. Zimmer, A. Steland, M. Lange-Hegermann, F. Mies, Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning, MLResearchPress , 2024.
ELSA | Download (ext.)
 
[18]
2024 | Konferenz - Vortrag | ELSA-ID: 12816
K.Y. Cheng, S. Pazmino, B. Bergh, M. Lange-Hegermann, B. Schreiweis, An Image Retrieval Pipeline in a Medical Data Integration Center., IOS Press, Incorporated, 2024.
ELSA | DOI | PubMed | Europe PMC
 
[17]
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12822
K.Y. Cheng, M. Lange-Hegermann, J.-B. Hövener, B. Schreiweis, Instance-level medical image classification for text-based retrieval in a medical data integration center, Computational and Structural Biotechnology Journal. 24 (2024) 434–450.
ELSA | DOI | WoS | PubMed | Europe PMC
 
[16]
2023 | Konferenz - Poster | ELSA-ID: 11381
T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic, model-based workflow for risk-based decision making in upstream development, DECHEMA e.V., n.d.
ELSA
 
[15]
2023 | Konferenz - Vortrag | ELSA-ID: 11383
T. Hernández Rodriguez, C. Posch, R. Pörtner, M. Lange-Hegermann, F.M. Wurm, B. Frahm, Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture, DECHEMA e.V., 2023.
ELSA
 
[14]
2023 | Konferenzband - Beitrag | ELSA-ID: 9930
M. Lange-Hegermann, T. Schmohl, A. Watanabe, K. Schelling, S. Heiss, J. Rubart, KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer, transcript Verlag, Bielefeld, 2023.
ELSA | DOI
 
[13]
2023 | Konferenz - Poster | ELSA-ID: 10201 | OA
T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic, model-based workflow for risk-based decision making in upstream development, 2023.
ELSA | Download (ext.)
 
[12]
2023 | Konferenzband - Beitrag | ELSA-ID: 10787
J. Tebbe, T. Pawlik, M. Trilling-Haasler, J. Löbner, M. Lange-Hegermann, J. Schneider, Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system, IEEE, [Piscataway, NJ], 2023.
ELSA | DOI
 
[11]
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12811
H. Shayan, K. Krycki, M. Doemeland, M. Lange-Hegermann, PGNAA Spectral Classification of Metal With Density Estimations, IEEE Transactions on Nuclear Science. 70 (2023) 1171–1177.
ELSA | DOI | WoS
 
[10]
2023 | Konferenzband - Beitrag | ELSA-ID: 12828
M. Härkönen, M. Lange-Hegermann, B. Raiţă, Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients, MLResearchPress , 2023.
ELSA
 
[9]
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design, Processes. 10 (2022).
ELSA | DOI
 
[8]
2022 | Konferenz - Poster | ELSA-ID: 7932
T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic, model-based workflow for risk-based decision making in upstream development, n.d.
ELSA
 
[7]
2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design, in: R. Pörtner, J. Möller (Eds.), Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, MDPI, Basel, 2022: pp. 21–48.
ELSA | DOI
 
[6]
2022 | Konferenz - Poster | ELSA-ID: 10198
T. Hernández Rodriguez, R. Pörtner, M. Lange-Hegermann, F.M. Wurm, B. Frahm, A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion, n.d.
ELSA
 
[5]
2022 | Konferenzband - Beitrag | ELSA-ID: 12804
A. Besginow, M. Lange-Hegermann, Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations, Curran Associates, Inc., Red Hook, NY , 2022.
ELSA
 
[4]
2021 | Konferenzband - Beitrag | ELSA-ID: 7581 | OA
M. Lange-Hegermann, T. Schmohl, A. Watanabe, S. Heiss, J. Rubart, AI-based STEM education: Generating individualized exercises in mathematics, Libreriauniversitaria.it, Bologna, 2021.
ELSA | Download (ext.)
 
[3]
2021 | Konferenzband - Beitrag | ELSA-ID: 5620 | OA
M. Lange-Hegermann, T. Schmohl, A. Watanabe, S. Heiss, J. Rubart, AI-Based Stem Education: Generating Individualized Exercises in Mathematics, Libreriauniversitaria.it, Bologna, 2021.
ELSA | DOI | Download (ext.)
 
[2]
2021 | Konferenzband - Beitrag | ELSA-ID: 12786
M. Lange-Hegermann, Linearly Constrained Gaussian Processes with Boundary Conditions, MLResearchPress , 2021.
ELSA
 
[1]
2020 | Konferenzband - Beitrag | ELSA-ID: 12812
F. Berns, M. Lange-Hegermann, C. Beecks, Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0, SCITEPRESS - Science and Technology Publications, 2020.
ELSA | DOI
 
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Zitationsstil: Elsevier Havard

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20 Publikationen

Alle markieren

[20]
2024 | Konferenz - Poster | ELSA-ID: 11605
M. Trilling-Haasler, J. Tebbe, M. Lange-Hegermann, J. Schneider, Yeast filtration with rotating membrane filtration –  a new approach for an economical recovery of beer form surplus yeast , 2024.
ELSA
 
[19]
2024 | Konferenzband - Beitrag | ELSA-ID: 12815 | OA
J. Tebbe, C. Zimmer, A. Steland, M. Lange-Hegermann, F. Mies, Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning, MLResearchPress , 2024.
ELSA | Download (ext.)
 
[18]
2024 | Konferenz - Vortrag | ELSA-ID: 12816
K.Y. Cheng, S. Pazmino, B. Bergh, M. Lange-Hegermann, B. Schreiweis, An Image Retrieval Pipeline in a Medical Data Integration Center., IOS Press, Incorporated, 2024.
ELSA | DOI | PubMed | Europe PMC
 
[17]
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12822
K.Y. Cheng, M. Lange-Hegermann, J.-B. Hövener, B. Schreiweis, Instance-level medical image classification for text-based retrieval in a medical data integration center, Computational and Structural Biotechnology Journal. 24 (2024) 434–450.
ELSA | DOI | WoS | PubMed | Europe PMC
 
[16]
2023 | Konferenz - Poster | ELSA-ID: 11381
T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic, model-based workflow for risk-based decision making in upstream development, DECHEMA e.V., n.d.
ELSA
 
[15]
2023 | Konferenz - Vortrag | ELSA-ID: 11383
T. Hernández Rodriguez, C. Posch, R. Pörtner, M. Lange-Hegermann, F.M. Wurm, B. Frahm, Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture, DECHEMA e.V., 2023.
ELSA
 
[14]
2023 | Konferenzband - Beitrag | ELSA-ID: 9930
M. Lange-Hegermann, T. Schmohl, A. Watanabe, K. Schelling, S. Heiss, J. Rubart, KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer, transcript Verlag, Bielefeld, 2023.
ELSA | DOI
 
[13]
2023 | Konferenz - Poster | ELSA-ID: 10201 | OA
T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic, model-based workflow for risk-based decision making in upstream development, 2023.
ELSA | Download (ext.)
 
[12]
2023 | Konferenzband - Beitrag | ELSA-ID: 10787
J. Tebbe, T. Pawlik, M. Trilling-Haasler, J. Löbner, M. Lange-Hegermann, J. Schneider, Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system, IEEE, [Piscataway, NJ], 2023.
ELSA | DOI
 
[11]
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12811
H. Shayan, K. Krycki, M. Doemeland, M. Lange-Hegermann, PGNAA Spectral Classification of Metal With Density Estimations, IEEE Transactions on Nuclear Science. 70 (2023) 1171–1177.
ELSA | DOI | WoS
 
[10]
2023 | Konferenzband - Beitrag | ELSA-ID: 12828
M. Härkönen, M. Lange-Hegermann, B. Raiţă, Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients, MLResearchPress , 2023.
ELSA
 
[9]
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design, Processes. 10 (2022).
ELSA | DOI
 
[8]
2022 | Konferenz - Poster | ELSA-ID: 7932
T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic, model-based workflow for risk-based decision making in upstream development, n.d.
ELSA
 
[7]
2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design, in: R. Pörtner, J. Möller (Eds.), Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, MDPI, Basel, 2022: pp. 21–48.
ELSA | DOI
 
[6]
2022 | Konferenz - Poster | ELSA-ID: 10198
T. Hernández Rodriguez, R. Pörtner, M. Lange-Hegermann, F.M. Wurm, B. Frahm, A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion, n.d.
ELSA
 
[5]
2022 | Konferenzband - Beitrag | ELSA-ID: 12804
A. Besginow, M. Lange-Hegermann, Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations, Curran Associates, Inc., Red Hook, NY , 2022.
ELSA
 
[4]
2021 | Konferenzband - Beitrag | ELSA-ID: 7581 | OA
M. Lange-Hegermann, T. Schmohl, A. Watanabe, S. Heiss, J. Rubart, AI-based STEM education: Generating individualized exercises in mathematics, Libreriauniversitaria.it, Bologna, 2021.
ELSA | Download (ext.)
 
[3]
2021 | Konferenzband - Beitrag | ELSA-ID: 5620 | OA
M. Lange-Hegermann, T. Schmohl, A. Watanabe, S. Heiss, J. Rubart, AI-Based Stem Education: Generating Individualized Exercises in Mathematics, Libreriauniversitaria.it, Bologna, 2021.
ELSA | DOI | Download (ext.)
 
[2]
2021 | Konferenzband - Beitrag | ELSA-ID: 12786
M. Lange-Hegermann, Linearly Constrained Gaussian Processes with Boundary Conditions, MLResearchPress , 2021.
ELSA
 
[1]
2020 | Konferenzband - Beitrag | ELSA-ID: 12812
F. Berns, M. Lange-Hegermann, C. Beecks, Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0, SCITEPRESS - Science and Technology Publications, 2020.
ELSA | DOI
 
Markierte Publikation(en)

Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: Elsevier Havard

Export / Einbettung