Markus Lange-Hegermann

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

20 Publikationen

Alle markieren

[20]
2024 | Konferenz - Poster | ELSA-ID: 11605
Trilling-Haasler M, Tebbe J, Lange-Hegermann M, Schneider J. 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 J, Zimmer C, Steland A, Lange-Hegermann M, Mies F. Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. International Conference on Artificial Intelligence and Statistics (AISTATS), Vol. 238. MLResearchPress ; 2024. (Proceedings of Machine Learning Research).
ELSA | Download (ext.)
 
[18]
2024 | Konferenz - Vortrag | ELSA-ID: 12816
Cheng KY, Pazmino S, Bergh B, Lange-Hegermann M, Schreiweis B. An Image Retrieval Pipeline in a Medical Data Integration Center. 19th World Congress on Medical and Health Informatics (MEDINFO). IOS Press, Incorporated; 2024. (Studies in Health Technology and Informatics; vol. 310).
ELSA | DOI | PubMed | Europe PMC
 
[17]
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12822
Cheng KY, Lange-Hegermann M, Hövener JB, Schreiweis B. Instance-level medical image classification for text-based retrieval in a medical data integration center. Computational and Structural Biotechnology Journal. 2024;24:434–50.
ELSA | DOI | WoS | PubMed | Europe PMC
 
[16]
2023 | Konferenz - Poster | ELSA-ID: 11381
Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. 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 T, Posch C, Pörtner R, Lange-Hegermann M, Wurm FM, Frahm B. 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 M, Schmohl T, Watanabe A, Schelling K, Heiss S, Rubart J. KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer. Schmohl T, Watanabe A, Schelling K, editors. Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens. Bielefeld: transcript Verlag; 2023. (Hochschulbildung: Lehre und Forschung; vol. 4).
ELSA | DOI
 
[13]
2023 | Konferenz - Poster | ELSA-ID: 10201 | OA
Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. 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 J, Pawlik T, Trilling-Haasler M, Löbner J, Lange-Hegermann M, Schneider J. Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system. Jasperneite J, Wisniewski L, Fung Man K, Institute of Electrical and Electronics Engineers , editors. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). [Piscataway, NJ]: IEEE; 2023.
ELSA | DOI
 
[11]
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12811
Shayan H, Krycki K, Doemeland M, Lange-Hegermann M. PGNAA Spectral Classification of Metal With Density Estimations. IEEE Transactions on Nuclear Science. 2023;70(6):1171–7.
ELSA | DOI | WoS
 
[10]
2023 | Konferenzband - Beitrag | ELSA-ID: 12828
Härkönen M, Lange-Hegermann M, Raiţă B. Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients. 40th International Conference on Machine Learning. MLResearchPress ; 2023. (Proceedings of machine learning research : PMLR; vol. 202).
ELSA
 
[9]
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. Processes. 2022;10(5).
ELSA | DOI
 
[8]
2022 | Konferenz - Poster | ELSA-ID: 7932
Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. A systematic, model-based workflow for risk-based decision making in upstream development.
ELSA
 
[7]
2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In: Pörtner R, Möller J, editors. Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing. Basel: MDPI; 2022. p. 21–48. (Processes : open access journal; vol. special issue).
ELSA | DOI
 
[6]
2022 | Konferenz - Poster | ELSA-ID: 10198
Hernández Rodriguez T, Pörtner R, Lange-Hegermann M, Wurm FM, Frahm B. 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 A, Lange-Hegermann M. Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations. Koyejo S, Mohamed S, Agarwal A, Belgrave D, Cho K, Oh A, et al., editors. 36th Conference on Neural Information Processing Systems (NeurIPS 2022) . Red Hook, NY : Curran Associates, Inc.; 2022. (Advances in Neural Information Processing Systems; vol. 35).
ELSA
 
[4]
2021 | Konferenzband - Beitrag | ELSA-ID: 7581 | OA
Lange-Hegermann M, Schmohl T, Watanabe A, Heiss S, Rubart J. AI-based STEM education: Generating individualized exercises in mathematics. Vol. 10, New Perspectives in Science Education. Bologna: Libreriauniversitaria.it; 2021.
ELSA | Download (ext.)
 
[3]
2021 | Konferenzband - Beitrag | ELSA-ID: 5620 | OA
Lange-Hegermann M, Schmohl T, Watanabe A, Heiss S, Rubart J. AI-Based Stem Education: Generating Individualized Exercises in Mathematics. New Perspectives in Science Education. Bologna: Libreriauniversitaria.it; 2021. (Filodiritto Editore – 10th International Conference New Perspectives in Science Education).
ELSA | DOI | Download (ext.)
 
[2]
2021 | Konferenzband - Beitrag | ELSA-ID: 12786
Lange-Hegermann M. Linearly Constrained Gaussian Processes with Boundary Conditions. Banerjee A, Fukumizu K, editors. 24th International Conference on Artificial Intelligence and Statistics (AISTATS). MLResearchPress ; 2021. (Proceedings of machine learning research : PMLR ; vol. 130).
ELSA
 
[1]
2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns F, Lange-Hegermann M, Beecks C. Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. Panetto H, Madani K, Smirnov A, editors. Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1. SCITEPRESS - Science and Technology Publications; 2020.
ELSA | DOI
 
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20 Publikationen

Alle markieren

[20]
2024 | Konferenz - Poster | ELSA-ID: 11605
Trilling-Haasler M, Tebbe J, Lange-Hegermann M, Schneider J. 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 J, Zimmer C, Steland A, Lange-Hegermann M, Mies F. Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. International Conference on Artificial Intelligence and Statistics (AISTATS), Vol. 238. MLResearchPress ; 2024. (Proceedings of Machine Learning Research).
ELSA | Download (ext.)
 
[18]
2024 | Konferenz - Vortrag | ELSA-ID: 12816
Cheng KY, Pazmino S, Bergh B, Lange-Hegermann M, Schreiweis B. An Image Retrieval Pipeline in a Medical Data Integration Center. 19th World Congress on Medical and Health Informatics (MEDINFO). IOS Press, Incorporated; 2024. (Studies in Health Technology and Informatics; vol. 310).
ELSA | DOI | PubMed | Europe PMC
 
[17]
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12822
Cheng KY, Lange-Hegermann M, Hövener JB, Schreiweis B. Instance-level medical image classification for text-based retrieval in a medical data integration center. Computational and Structural Biotechnology Journal. 2024;24:434–50.
ELSA | DOI | WoS | PubMed | Europe PMC
 
[16]
2023 | Konferenz - Poster | ELSA-ID: 11381
Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. 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 T, Posch C, Pörtner R, Lange-Hegermann M, Wurm FM, Frahm B. 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 M, Schmohl T, Watanabe A, Schelling K, Heiss S, Rubart J. KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer. Schmohl T, Watanabe A, Schelling K, editors. Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens. Bielefeld: transcript Verlag; 2023. (Hochschulbildung: Lehre und Forschung; vol. 4).
ELSA | DOI
 
[13]
2023 | Konferenz - Poster | ELSA-ID: 10201 | OA
Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. 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 J, Pawlik T, Trilling-Haasler M, Löbner J, Lange-Hegermann M, Schneider J. Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system. Jasperneite J, Wisniewski L, Fung Man K, Institute of Electrical and Electronics Engineers , editors. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). [Piscataway, NJ]: IEEE; 2023.
ELSA | DOI
 
[11]
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12811
Shayan H, Krycki K, Doemeland M, Lange-Hegermann M. PGNAA Spectral Classification of Metal With Density Estimations. IEEE Transactions on Nuclear Science. 2023;70(6):1171–7.
ELSA | DOI | WoS
 
[10]
2023 | Konferenzband - Beitrag | ELSA-ID: 12828
Härkönen M, Lange-Hegermann M, Raiţă B. Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients. 40th International Conference on Machine Learning. MLResearchPress ; 2023. (Proceedings of machine learning research : PMLR; vol. 202).
ELSA
 
[9]
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. Processes. 2022;10(5).
ELSA | DOI
 
[8]
2022 | Konferenz - Poster | ELSA-ID: 7932
Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. A systematic, model-based workflow for risk-based decision making in upstream development.
ELSA
 
[7]
2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In: Pörtner R, Möller J, editors. Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing. Basel: MDPI; 2022. p. 21–48. (Processes : open access journal; vol. special issue).
ELSA | DOI
 
[6]
2022 | Konferenz - Poster | ELSA-ID: 10198
Hernández Rodriguez T, Pörtner R, Lange-Hegermann M, Wurm FM, Frahm B. 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 A, Lange-Hegermann M. Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations. Koyejo S, Mohamed S, Agarwal A, Belgrave D, Cho K, Oh A, et al., editors. 36th Conference on Neural Information Processing Systems (NeurIPS 2022) . Red Hook, NY : Curran Associates, Inc.; 2022. (Advances in Neural Information Processing Systems; vol. 35).
ELSA
 
[4]
2021 | Konferenzband - Beitrag | ELSA-ID: 7581 | OA
Lange-Hegermann M, Schmohl T, Watanabe A, Heiss S, Rubart J. AI-based STEM education: Generating individualized exercises in mathematics. Vol. 10, New Perspectives in Science Education. Bologna: Libreriauniversitaria.it; 2021.
ELSA | Download (ext.)
 
[3]
2021 | Konferenzband - Beitrag | ELSA-ID: 5620 | OA
Lange-Hegermann M, Schmohl T, Watanabe A, Heiss S, Rubart J. AI-Based Stem Education: Generating Individualized Exercises in Mathematics. New Perspectives in Science Education. Bologna: Libreriauniversitaria.it; 2021. (Filodiritto Editore – 10th International Conference New Perspectives in Science Education).
ELSA | DOI | Download (ext.)
 
[2]
2021 | Konferenzband - Beitrag | ELSA-ID: 12786
Lange-Hegermann M. Linearly Constrained Gaussian Processes with Boundary Conditions. Banerjee A, Fukumizu K, editors. 24th International Conference on Artificial Intelligence and Statistics (AISTATS). MLResearchPress ; 2021. (Proceedings of machine learning research : PMLR ; vol. 130).
ELSA
 
[1]
2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns F, Lange-Hegermann M, Beecks C. Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. Panetto H, Madani K, Smirnov A, editors. Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1. SCITEPRESS - Science and Technology Publications; 2020.
ELSA | DOI
 
Markierte Publikation(en)

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Publikationen filtern

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Zitationsstil: Vancouver

Export / Einbettung