Markus Lange-Hegermann

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

20 Publikationen

Alle markieren

[20]
2024 | Konferenz - Poster | ELSA-ID: 11605
Trilling-Haasler, Marc ; Tebbe, Jörn ; Lange-Hegermann, Markus ; Schneider, Jan: 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
Tebbe, Jörn ; Zimmer, Christoph ; Steland, Ansgar ; Lange-Hegermann, Markus ; Mies, Fabian: Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning, Proceedings of Machine Learning Research : MLResearchPress , 2024
ELSA | Download (ext.)
 
[18]
2024 | Konferenz - Vortrag | ELSA-ID: 12816
Cheng, Ka Yung ; Pazmino, Santiago ; Bergh, Bjoern ; Lange-Hegermann, Markus ; Schreiweis, Bjorn: An Image Retrieval Pipeline in a Medical Data Integration Center., Studies in Health Technology and Informatics. Bd. 310 : IOS Press, Incorporated, 2024
ELSA | DOI | PubMed | Europe PMC
 
[17]
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12822
Cheng, Ka Yung ; Lange-Hegermann, Markus ; Hövener, Jan-Bernd ; Schreiweis, Björn: Instance-level medical image classification for text-based retrieval in a medical data integration center. In: Computational and Structural Biotechnology Journal Bd. 24. Amsterdam [u.a.], Elsevier BV (2024), S. 434–450
ELSA | DOI | WoS | PubMed | Europe PMC
 
[16]
2023 | Konferenz - Poster | ELSA-ID: 11381
Hernández Rodriguez, Tanja ; Ramm, Selina ; Lange-Hegermann, Markus ; Frahm, Björn: A systematic, model-based workflow for risk-based decision making in upstream development : DECHEMA e.V.
ELSA
 
[15]
2023 | Konferenz - Vortrag | ELSA-ID: 11383
Hernández Rodriguez, Tanja ; Posch, Christoph ; Pörtner, Ralf ; Lange-Hegermann, Markus ; Wurm, Florian M. ; Frahm, Björn: 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
Lange-Hegermann, Markus ; Schmohl, Tobias ; Watanabe, Alice ; Schelling, Kathrin ; Heiss, Stefan ; Rubart, Jessica ; Schmohl, T. ; Watanabe, A. ; Schelling, K. (Hrsg.): KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer, Hochschulbildung: Lehre und Forschung. Bd. 4. Bielefeld : transcript Verlag, 2023
ELSA | DOI
 
[13]
2023 | Konferenz - Poster | ELSA-ID: 10201 | OA
Hernández Rodriguez, Tanja ; Ramm, Selina ; Lange-Hegermann, Markus ; Frahm, Björn: A systematic, model-based workflow for risk-based decision making in upstream development, 2023
ELSA | Download (ext.)
 
[12]
2023 | Konferenzband - Beitrag | ELSA-ID: 10787
Tebbe, Jörn ; Pawlik, Thomas ; Trilling-Haasler, Marc ; Löbner, Jannis ; Lange-Hegermann, Markus ; Schneider, Jan ; Jasperneite, J. ; Wisniewski, L. ; Fung Man, K. ; Institute of Electrical and Electronics Engineers (Hrsg.): Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system. [Piscataway, NJ] : IEEE, 2023
ELSA | DOI
 
[11]
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12811
Shayan, Helmand ; Krycki, Kai ; Doemeland, Marco ; Lange-Hegermann, Markus: PGNAA Spectral Classification of Metal With Density Estimations. In: IEEE Transactions on Nuclear Science Bd. 70. New York, NY, IEEE (2023), Nr. 6, S. 1171–1177
ELSA | DOI | WoS
 
[10]
2023 | Konferenzband - Beitrag | ELSA-ID: 12828
Härkönen, Marc ; Lange-Hegermann, Markus ; Raiţă, Bogdan: Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients, Proceedings of machine learning research : PMLR. Bd. 202 : MLResearchPress , 2023
ELSA
 
[9]
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
Hernández Rodriguez, Tanja ; Sekulic, Anton ; Lange-Hegermann, Markus ; Frahm, Björn: Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. In: Processes Bd. 10. Basel, MDPI AG (2022), Nr. 5
ELSA | DOI
 
[8]
2022 | Konferenz - Poster | ELSA-ID: 7932
Hernández Rodriguez, Tanja ; Ramm, Selina ; Lange-Hegermann, Markus ; Frahm, Björn: A systematic, model-based workflow for risk-based decision making in upstream development
ELSA
 
[7]
2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
Hernández Rodriguez, Tanja ; Sekulic, Anton ; Lange-Hegermann, Markus ; Frahm, Björn: Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In: Pörtner, R. ; Möller, J. (Hrsg.): Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, Processes : open access journal. Bd. special issue. Basel : MDPI, 2022, S. 21–48
ELSA | DOI
 
[6]
2022 | Konferenz - Poster | ELSA-ID: 10198
Hernández Rodriguez, Tanja ; Pörtner, Ralf ; Lange-Hegermann, Markus ; Wurm, Florian M. ; Frahm, Björn: A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion
ELSA
 
[5]
2022 | Konferenzband - Beitrag | ELSA-ID: 12804
Besginow, Andreas ; Lange-Hegermann, Markus ; Koyejo, S. ; Mohamed, S. ; Agarwal, A. ; Belgrave, D. ; Cho, K. ; Oh, A. ; Neural Information Processing Systems Foundation (Hrsg.): Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations, Advances in Neural Information Processing Systems. Bd. 35. Red Hook, NY  : Curran Associates, Inc., 2022
ELSA
 
[4]
2021 | Konferenzband - Beitrag | ELSA-ID: 7581 | OA
Lange-Hegermann, Markus ; Schmohl, Tobias ; Watanabe, Alice ; Heiss, Stefan ; Rubart, Jessica: AI-based STEM education: Generating individualized exercises in mathematics. Bd. 10. Bologna : Libreriauniversitaria.it, 2021
ELSA | Download (ext.)
 
[3]
2021 | Konferenzband - Beitrag | ELSA-ID: 5620 | OA
Lange-Hegermann, Markus ; Schmohl, Tobias ; Watanabe, Alice ; Heiss, Stefan ; Rubart, Jessica: AI-Based Stem Education: Generating Individualized Exercises in Mathematics, Filodiritto Editore – 10th International Conference New Perspectives in Science Education. Bologna : Libreriauniversitaria.it, 2021
ELSA | DOI | Download (ext.)
 
[2]
2021 | Konferenzband - Beitrag | ELSA-ID: 12786
Lange-Hegermann, Markus ; Banerjee, A. ; Fukumizu, K. (Hrsg.): Linearly Constrained Gaussian Processes with Boundary Conditions, Proceedings of machine learning research : PMLR . Bd. 130 : MLResearchPress , 2021
ELSA
 
[1]
2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, Fabian ; Lange-Hegermann, Markus ; Beecks, Christian ; Panetto, H. ; Madani, K. ; Smirnov, A. (Hrsg.): Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0 : SCITEPRESS - Science and Technology Publications, 2020
ELSA | DOI
 
Markierte Publikation(en)

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Publikationen filtern

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Zitationsstil: Din 1505-2

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20 Publikationen

Alle markieren

[20]
2024 | Konferenz - Poster | ELSA-ID: 11605
Trilling-Haasler, Marc ; Tebbe, Jörn ; Lange-Hegermann, Markus ; Schneider, Jan: 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
Tebbe, Jörn ; Zimmer, Christoph ; Steland, Ansgar ; Lange-Hegermann, Markus ; Mies, Fabian: Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning, Proceedings of Machine Learning Research : MLResearchPress , 2024
ELSA | Download (ext.)
 
[18]
2024 | Konferenz - Vortrag | ELSA-ID: 12816
Cheng, Ka Yung ; Pazmino, Santiago ; Bergh, Bjoern ; Lange-Hegermann, Markus ; Schreiweis, Bjorn: An Image Retrieval Pipeline in a Medical Data Integration Center., Studies in Health Technology and Informatics. Bd. 310 : IOS Press, Incorporated, 2024
ELSA | DOI | PubMed | Europe PMC
 
[17]
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12822
Cheng, Ka Yung ; Lange-Hegermann, Markus ; Hövener, Jan-Bernd ; Schreiweis, Björn: Instance-level medical image classification for text-based retrieval in a medical data integration center. In: Computational and Structural Biotechnology Journal Bd. 24. Amsterdam [u.a.], Elsevier BV (2024), S. 434–450
ELSA | DOI | WoS | PubMed | Europe PMC
 
[16]
2023 | Konferenz - Poster | ELSA-ID: 11381
Hernández Rodriguez, Tanja ; Ramm, Selina ; Lange-Hegermann, Markus ; Frahm, Björn: A systematic, model-based workflow for risk-based decision making in upstream development : DECHEMA e.V.
ELSA
 
[15]
2023 | Konferenz - Vortrag | ELSA-ID: 11383
Hernández Rodriguez, Tanja ; Posch, Christoph ; Pörtner, Ralf ; Lange-Hegermann, Markus ; Wurm, Florian M. ; Frahm, Björn: 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
Lange-Hegermann, Markus ; Schmohl, Tobias ; Watanabe, Alice ; Schelling, Kathrin ; Heiss, Stefan ; Rubart, Jessica ; Schmohl, T. ; Watanabe, A. ; Schelling, K. (Hrsg.): KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer, Hochschulbildung: Lehre und Forschung. Bd. 4. Bielefeld : transcript Verlag, 2023
ELSA | DOI
 
[13]
2023 | Konferenz - Poster | ELSA-ID: 10201 | OA
Hernández Rodriguez, Tanja ; Ramm, Selina ; Lange-Hegermann, Markus ; Frahm, Björn: A systematic, model-based workflow for risk-based decision making in upstream development, 2023
ELSA | Download (ext.)
 
[12]
2023 | Konferenzband - Beitrag | ELSA-ID: 10787
Tebbe, Jörn ; Pawlik, Thomas ; Trilling-Haasler, Marc ; Löbner, Jannis ; Lange-Hegermann, Markus ; Schneider, Jan ; Jasperneite, J. ; Wisniewski, L. ; Fung Man, K. ; Institute of Electrical and Electronics Engineers (Hrsg.): Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system. [Piscataway, NJ] : IEEE, 2023
ELSA | DOI
 
[11]
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12811
Shayan, Helmand ; Krycki, Kai ; Doemeland, Marco ; Lange-Hegermann, Markus: PGNAA Spectral Classification of Metal With Density Estimations. In: IEEE Transactions on Nuclear Science Bd. 70. New York, NY, IEEE (2023), Nr. 6, S. 1171–1177
ELSA | DOI | WoS
 
[10]
2023 | Konferenzband - Beitrag | ELSA-ID: 12828
Härkönen, Marc ; Lange-Hegermann, Markus ; Raiţă, Bogdan: Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients, Proceedings of machine learning research : PMLR. Bd. 202 : MLResearchPress , 2023
ELSA
 
[9]
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
Hernández Rodriguez, Tanja ; Sekulic, Anton ; Lange-Hegermann, Markus ; Frahm, Björn: Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. In: Processes Bd. 10. Basel, MDPI AG (2022), Nr. 5
ELSA | DOI
 
[8]
2022 | Konferenz - Poster | ELSA-ID: 7932
Hernández Rodriguez, Tanja ; Ramm, Selina ; Lange-Hegermann, Markus ; Frahm, Björn: A systematic, model-based workflow for risk-based decision making in upstream development
ELSA
 
[7]
2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
Hernández Rodriguez, Tanja ; Sekulic, Anton ; Lange-Hegermann, Markus ; Frahm, Björn: Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In: Pörtner, R. ; Möller, J. (Hrsg.): Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, Processes : open access journal. Bd. special issue. Basel : MDPI, 2022, S. 21–48
ELSA | DOI
 
[6]
2022 | Konferenz - Poster | ELSA-ID: 10198
Hernández Rodriguez, Tanja ; Pörtner, Ralf ; Lange-Hegermann, Markus ; Wurm, Florian M. ; Frahm, Björn: A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion
ELSA
 
[5]
2022 | Konferenzband - Beitrag | ELSA-ID: 12804
Besginow, Andreas ; Lange-Hegermann, Markus ; Koyejo, S. ; Mohamed, S. ; Agarwal, A. ; Belgrave, D. ; Cho, K. ; Oh, A. ; Neural Information Processing Systems Foundation (Hrsg.): Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations, Advances in Neural Information Processing Systems. Bd. 35. Red Hook, NY  : Curran Associates, Inc., 2022
ELSA
 
[4]
2021 | Konferenzband - Beitrag | ELSA-ID: 7581 | OA
Lange-Hegermann, Markus ; Schmohl, Tobias ; Watanabe, Alice ; Heiss, Stefan ; Rubart, Jessica: AI-based STEM education: Generating individualized exercises in mathematics. Bd. 10. Bologna : Libreriauniversitaria.it, 2021
ELSA | Download (ext.)
 
[3]
2021 | Konferenzband - Beitrag | ELSA-ID: 5620 | OA
Lange-Hegermann, Markus ; Schmohl, Tobias ; Watanabe, Alice ; Heiss, Stefan ; Rubart, Jessica: AI-Based Stem Education: Generating Individualized Exercises in Mathematics, Filodiritto Editore – 10th International Conference New Perspectives in Science Education. Bologna : Libreriauniversitaria.it, 2021
ELSA | DOI | Download (ext.)
 
[2]
2021 | Konferenzband - Beitrag | ELSA-ID: 12786
Lange-Hegermann, Markus ; Banerjee, A. ; Fukumizu, K. (Hrsg.): Linearly Constrained Gaussian Processes with Boundary Conditions, Proceedings of machine learning research : PMLR . Bd. 130 : MLResearchPress , 2021
ELSA
 
[1]
2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, Fabian ; Lange-Hegermann, Markus ; Beecks, Christian ; Panetto, H. ; Madani, K. ; Smirnov, A. (Hrsg.): 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: Din 1505-2

Export / Einbettung