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 u. a.: Yeast filtration with rotating membrane filtration –  a new approach for an economical recovery of beer form surplus yeast , o. O. 2024.
ELSA
 
[19]
2024 | Konferenzband - Beitrag | ELSA-ID: 12815 | OA
Tebbe, Jörn u. a.: Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning, o. O. 2024 (Proceedings of Machine Learning Research).
ELSA | Download (ext.)
 
[18]
2024 | Konferenz - Vortrag | ELSA-ID: 12816
Cheng, Ka Yung u. a.: An Image Retrieval Pipeline in a Medical Data Integration Center., Bd. 310, o. O. 2024 (Studies in Health Technology and Informatics).
ELSA | DOI | PubMed | Europe PMC
 
[17]
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12822
Cheng, Ka Yung u. a.: Instance-level medical image classification for text-based retrieval in a medical data integration center, in: Computational and Structural Biotechnology Journal 24 (2024),  S. 434–450.
ELSA | DOI | WoS | PubMed | Europe PMC
 
[16]
2023 | Konferenzband - Beitrag | ELSA-ID: 10787
Tebbe, Jörn u. a.: Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system, hg. von Jasperneite, Jürgen u. a., [Piscataway, NJ] 2023.
ELSA | DOI
 
[15]
2023 | Konferenz - Poster | ELSA-ID: 11381
Hernández Rodriguez, Tanja u. a.: A systematic, model-based workflow for risk-based decision making in upstream development, o. O. u. J. .
ELSA
 
[14]
2023 | Konferenz - Vortrag | ELSA-ID: 11383
Hernández Rodriguez, Tanja u. a.: Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture, o. O. 2023.
ELSA
 
[13]
2023 | Konferenz - Poster | ELSA-ID: 10201 | OA
Hernández Rodriguez, Tanja u. a.: A systematic, model-based workflow for risk-based decision making in upstream development, o. O. 2023.
ELSA | Download (ext.)
 
[12]
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12811
Shayan, Helmand u. a.: PGNAA Spectral Classification of Metal With Density Estimations, in: IEEE Transactions on Nuclear Science 70 (2023), H. 6,  S. 1171–1177.
ELSA | DOI | WoS
 
[11]
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, Bd. 202, o. O. 2023 (Proceedings of machine learning research : PMLR).
ELSA
 
[10]
2023 | Konferenzband - Beitrag | ELSA-ID: 9930
Lange-Hegermann, Markus u. a.: KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer, Bd. 4, hg. von Schmohl, Tobias/Watanabe, Alice/Schelling, Kathrin, Bielefeld 2023 (Hochschulbildung: Lehre und Forschung).
ELSA | DOI
 
[9]
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
Hernández Rodriguez, Tanja u. a.: Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design, in: Processes 10 (2022), H. 5.
ELSA | DOI
 
[8]
2022 | Konferenz - Poster | ELSA-ID: 7932
Hernández Rodriguez, Tanja u. a.: A systematic, model-based workflow for risk-based decision making in upstream development, o. O. u. J. .
ELSA
 
[7]
2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
Hernández Rodriguez, Tanja u. a.: Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design, in: Pörtner, Ralf/Möller, Johannes (Hgg.): Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, Band special issue, Basel 2022 (Processes : open access journal),  S. 21–48.
ELSA | DOI
 
[6]
2022 | Konferenz - Poster | ELSA-ID: 10198
Hernández Rodriguez, Tanja u. a.: A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion, o. O. u. J. .
ELSA
 
[5]
2022 | Konferenzband - Beitrag | ELSA-ID: 12804
Besginow, Andreas/Lange-Hegermann, Markus: Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations, Bd. 35, hg. von Koyejo, S. u. a., Red Hook, NY 2022 (Advances in Neural Information Processing Systems).
ELSA
 
[4]
2021 | Konferenzband - Beitrag | ELSA-ID: 12786
Lange-Hegermann, Markus: Linearly Constrained Gaussian Processes with Boundary Conditions, Bd. 130, hg. von Banerjee, A./Fukumizu, K., o. O. 2021 (Proceedings of machine learning research : PMLR ).
ELSA
 
[3]
2021 | Konferenzband - Beitrag | ELSA-ID: 5620 | OA
Lange-Hegermann, Markus et. al. (2021): AI-Based Stem Education: Generating Individualized Exercises in Mathematics (=Filodiritto Editore – 10th International Conference New Perspectives in Science Education), Bologna.
ELSA | DOI | Download (ext.)
 
[2]
2021 | Konferenzband - Beitrag | ELSA-ID: 7581 | OA
Lange-Hegermann, Markus et. al. (2021): AI-based STEM education: Generating individualized exercises in mathematics (= 10), Bologna.
ELSA | Download (ext.)
 
[1]
2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, Fabian/Lange-Hegermann, Markus/Beecks, Christian: Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0, hg. von Panetto, H./Madani, K./Smirnov, A., o. O. 2020.
ELSA | DOI
 
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Zitationsstil: Universität Freiburg

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20 Publikationen

Alle markieren

[20]
2024 | Konferenz - Poster | ELSA-ID: 11605
Trilling-Haasler, Marc u. a.: Yeast filtration with rotating membrane filtration –  a new approach for an economical recovery of beer form surplus yeast , o. O. 2024.
ELSA
 
[19]
2024 | Konferenzband - Beitrag | ELSA-ID: 12815 | OA
Tebbe, Jörn u. a.: Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning, o. O. 2024 (Proceedings of Machine Learning Research).
ELSA | Download (ext.)
 
[18]
2024 | Konferenz - Vortrag | ELSA-ID: 12816
Cheng, Ka Yung u. a.: An Image Retrieval Pipeline in a Medical Data Integration Center., Bd. 310, o. O. 2024 (Studies in Health Technology and Informatics).
ELSA | DOI | PubMed | Europe PMC
 
[17]
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12822
Cheng, Ka Yung u. a.: Instance-level medical image classification for text-based retrieval in a medical data integration center, in: Computational and Structural Biotechnology Journal 24 (2024),  S. 434–450.
ELSA | DOI | WoS | PubMed | Europe PMC
 
[16]
2023 | Konferenzband - Beitrag | ELSA-ID: 10787
Tebbe, Jörn u. a.: Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system, hg. von Jasperneite, Jürgen u. a., [Piscataway, NJ] 2023.
ELSA | DOI
 
[15]
2023 | Konferenz - Poster | ELSA-ID: 11381
Hernández Rodriguez, Tanja u. a.: A systematic, model-based workflow for risk-based decision making in upstream development, o. O. u. J. .
ELSA
 
[14]
2023 | Konferenz - Vortrag | ELSA-ID: 11383
Hernández Rodriguez, Tanja u. a.: Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture, o. O. 2023.
ELSA
 
[13]
2023 | Konferenz - Poster | ELSA-ID: 10201 | OA
Hernández Rodriguez, Tanja u. a.: A systematic, model-based workflow for risk-based decision making in upstream development, o. O. 2023.
ELSA | Download (ext.)
 
[12]
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12811
Shayan, Helmand u. a.: PGNAA Spectral Classification of Metal With Density Estimations, in: IEEE Transactions on Nuclear Science 70 (2023), H. 6,  S. 1171–1177.
ELSA | DOI | WoS
 
[11]
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, Bd. 202, o. O. 2023 (Proceedings of machine learning research : PMLR).
ELSA
 
[10]
2023 | Konferenzband - Beitrag | ELSA-ID: 9930
Lange-Hegermann, Markus u. a.: KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer, Bd. 4, hg. von Schmohl, Tobias/Watanabe, Alice/Schelling, Kathrin, Bielefeld 2023 (Hochschulbildung: Lehre und Forschung).
ELSA | DOI
 
[9]
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
Hernández Rodriguez, Tanja u. a.: Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design, in: Processes 10 (2022), H. 5.
ELSA | DOI
 
[8]
2022 | Konferenz - Poster | ELSA-ID: 7932
Hernández Rodriguez, Tanja u. a.: A systematic, model-based workflow for risk-based decision making in upstream development, o. O. u. J. .
ELSA
 
[7]
2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
Hernández Rodriguez, Tanja u. a.: Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design, in: Pörtner, Ralf/Möller, Johannes (Hgg.): Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, Band special issue, Basel 2022 (Processes : open access journal),  S. 21–48.
ELSA | DOI
 
[6]
2022 | Konferenz - Poster | ELSA-ID: 10198
Hernández Rodriguez, Tanja u. a.: A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion, o. O. u. J. .
ELSA
 
[5]
2022 | Konferenzband - Beitrag | ELSA-ID: 12804
Besginow, Andreas/Lange-Hegermann, Markus: Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations, Bd. 35, hg. von Koyejo, S. u. a., Red Hook, NY 2022 (Advances in Neural Information Processing Systems).
ELSA
 
[4]
2021 | Konferenzband - Beitrag | ELSA-ID: 12786
Lange-Hegermann, Markus: Linearly Constrained Gaussian Processes with Boundary Conditions, Bd. 130, hg. von Banerjee, A./Fukumizu, K., o. O. 2021 (Proceedings of machine learning research : PMLR ).
ELSA
 
[3]
2021 | Konferenzband - Beitrag | ELSA-ID: 5620 | OA
Lange-Hegermann, Markus et. al. (2021): AI-Based Stem Education: Generating Individualized Exercises in Mathematics (=Filodiritto Editore – 10th International Conference New Perspectives in Science Education), Bologna.
ELSA | DOI | Download (ext.)
 
[2]
2021 | Konferenzband - Beitrag | ELSA-ID: 7581 | OA
Lange-Hegermann, Markus et. al. (2021): AI-based STEM education: Generating individualized exercises in mathematics (= 10), Bologna.
ELSA | Download (ext.)
 
[1]
2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, Fabian/Lange-Hegermann, Markus/Beecks, Christian: Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0, hg. von Panetto, H./Madani, K./Smirnov, A., o. O. 2020.
ELSA | DOI
 
Markierte Publikation(en)

Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: Universität Freiburg

Export / Einbettung