20 Publikationen
2024 | Konferenz - Poster | ELSA-ID: 11605
Trilling-Haasler, Marc, et al. Yeast Filtration with Rotating Membrane Filtration – a New Approach for an Economical Recovery of Beer Form Surplus Yeast . 2024.
ELSA
2024 | Konferenzband - Beitrag | ELSA-ID: 12815 |

Tebbe, Jörn, et al. “Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning.” International Conference on Artificial Intelligence and Statistics (AISTATS), Vol. 238, MLResearchPress , 2024, pp. 1333–41.
ELSA
| Download (ext.)
| WoS
2024 | Konferenz - Vortrag | ELSA-ID: 12816
Cheng, Ka Yung, et al. “An Image Retrieval Pipeline in a Medical Data Integration Center.” 19th World Congress on Medical and Health Informatics (MEDINFO), vol. 310, IOS Press, Incorporated, 2024, pp. 1388–89, https://doi.org/10.3233/SHTI231208.
ELSA
| DOI
| WoS
| PubMed | Europe PMC
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12822
Cheng, Ka Yung, et al. “Instance-Level Medical Image Classification for Text-Based Retrieval in a Medical Data Integration Center.” Computational and Structural Biotechnology Journal, vol. 24, 2024, pp. 434–50, https://doi.org/10.1016/j.csbj.2024.06.006.
ELSA
| DOI
| WoS
| PubMed | Europe PMC
2023 | Konferenz - Poster | ELSA-ID: 11381
Hernández Rodriguez, Tanja, et al. A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development. DECHEMA e.V.
ELSA
2023 | Konferenz - Vortrag | ELSA-ID: 11383
Hernández Rodriguez, Tanja, et al. Model-Assisted Design Strategies for Bioprocesses – Advanced Statistical Methods in Industrial Upstream Cell Culture. DECHEMA e.V., 2023.
ELSA
2023 | Konferenz - Poster | ELSA-ID: 10201 |

Hernández Rodriguez, Tanja, et al. A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development. 2023.
ELSA
| Download (ext.)
2023 | Konferenzband - Beitrag | ELSA-ID: 9930
Lange-Hegermann, Markus, et al. “KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer.” Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens, edited by Tobias Schmohl et al., vol. 4, transcript Verlag, 2023, pp. 161–72, https://doi.org/10.14361/9783839457696-009.
ELSA
| DOI
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12811
Shayan, Helmand, et al. “PGNAA Spectral Classification of Metal With Density Estimations.” IEEE Transactions on Nuclear Science, vol. 70, no. 6, 2023, pp. 1171–77, https://doi.org/10.1109/tns.2023.3242626.
ELSA
| DOI
| WoS
2023 | Konferenzband - Beitrag | ELSA-ID: 10787
Tebbe, Jörn, et al. “Holistic Optimization of a Dynamic Cross-Flow Filtration Process towards a Cyber-Physical System.” 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), edited by Jürgen Jasperneite et al., IEEE, 2023, pp. 1–7, https://doi.org/10.1109/INDIN51400.2023.10217913.
ELSA
| DOI
| WoS
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
Hernández Rodriguez, Tanja, et al. “Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.” Processes, vol. 10, no. 5, 883, 2022, https://doi.org/10.3390/pr10050883.
ELSA
| DOI
2022 | Konferenz - Poster | ELSA-ID: 7932
Hernández Rodriguez, Tanja, et al. A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development.
ELSA
2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
Hernández Rodriguez, Tanja, et al. “Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.” Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, edited by Ralf Pörtner and Johannes Möller, vol. special issue, MDPI, 2022, pp. 21–48, https://doi.org/10.3390/pr10050883.
ELSA
| DOI
2022 | Konferenz - Poster | ELSA-ID: 10198
Hernández Rodriguez, Tanja, et al. A Systematic, Model-Based Approach for Decision Making in Upstream Development – Considerations Regarding Clone Selection and Cell Expansion.
ELSA
2022 | Konferenzband - Beitrag | ELSA-ID: 12804
Besginow, Andreas, and Markus Lange-Hegermann. “Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations.” 36th Conference on Neural Information Processing Systems (NeurIPS 2022) , edited by S. Koyejo et al., vol. 35, Curran Associates, Inc., 2022, pp. 29386–99.
ELSA
| WoS
2021 | Konferenzband - Beitrag | ELSA-ID: 7581 |

Lange-Hegermann, Markus, et al. “AI-Based STEM Education: Generating Individualized Exercises in Mathematics.” New Perspectives in Science Education, vol. 10, Libreriauniversitaria.it, 2021, pp. 385–90.
ELSA
| Download (ext.)
2021 | Konferenzband - Beitrag | ELSA-ID: 5620 |

Lange-Hegermann, Markus, et al. “AI-Based Stem Education: Generating Individualized Exercises in Mathematics.” New Perspectives in Science Education, Libreriauniversitaria.it, 2021, pp. 385–90, doi:10.26352/F318_2384-9509.
ELSA
| DOI
| Download (ext.)
2021 | Konferenzband - Beitrag | ELSA-ID: 12786
Lange-Hegermann, Markus. “Linearly Constrained Gaussian Processes with Boundary Conditions.” 24th International Conference on Artificial Intelligence and Statistics (AISTATS), edited by A. Banerjee and K. Fukumizu, vol. 130, MLResearchPress , 2021.
ELSA
| WoS
2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, Fabian, et al. “Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0.” Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1, edited by H. Panetto et al., SCITEPRESS - Science and Technology Publications, 2020, pp. 87–92, https://doi.org/10.5220/0010130300870092.
ELSA
| DOI
| WoS
Suche
Publikationen filtern
Darstellung / Sortierung
Export / Einbettung
20 Publikationen
2024 | Konferenz - Poster | ELSA-ID: 11605
Trilling-Haasler, Marc, et al. Yeast Filtration with Rotating Membrane Filtration – a New Approach for an Economical Recovery of Beer Form Surplus Yeast . 2024.
ELSA
2024 | Konferenzband - Beitrag | ELSA-ID: 12815 |

Tebbe, Jörn, et al. “Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning.” International Conference on Artificial Intelligence and Statistics (AISTATS), Vol. 238, MLResearchPress , 2024, pp. 1333–41.
ELSA
| Download (ext.)
| WoS
2024 | Konferenz - Vortrag | ELSA-ID: 12816
Cheng, Ka Yung, et al. “An Image Retrieval Pipeline in a Medical Data Integration Center.” 19th World Congress on Medical and Health Informatics (MEDINFO), vol. 310, IOS Press, Incorporated, 2024, pp. 1388–89, https://doi.org/10.3233/SHTI231208.
ELSA
| DOI
| WoS
| PubMed | Europe PMC
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12822
Cheng, Ka Yung, et al. “Instance-Level Medical Image Classification for Text-Based Retrieval in a Medical Data Integration Center.” Computational and Structural Biotechnology Journal, vol. 24, 2024, pp. 434–50, https://doi.org/10.1016/j.csbj.2024.06.006.
ELSA
| DOI
| WoS
| PubMed | Europe PMC
2023 | Konferenz - Poster | ELSA-ID: 11381
Hernández Rodriguez, Tanja, et al. A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development. DECHEMA e.V.
ELSA
2023 | Konferenz - Vortrag | ELSA-ID: 11383
Hernández Rodriguez, Tanja, et al. Model-Assisted Design Strategies for Bioprocesses – Advanced Statistical Methods in Industrial Upstream Cell Culture. DECHEMA e.V., 2023.
ELSA
2023 | Konferenz - Poster | ELSA-ID: 10201 |

Hernández Rodriguez, Tanja, et al. A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development. 2023.
ELSA
| Download (ext.)
2023 | Konferenzband - Beitrag | ELSA-ID: 9930
Lange-Hegermann, Markus, et al. “KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer.” Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens, edited by Tobias Schmohl et al., vol. 4, transcript Verlag, 2023, pp. 161–72, https://doi.org/10.14361/9783839457696-009.
ELSA
| DOI
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12811
Shayan, Helmand, et al. “PGNAA Spectral Classification of Metal With Density Estimations.” IEEE Transactions on Nuclear Science, vol. 70, no. 6, 2023, pp. 1171–77, https://doi.org/10.1109/tns.2023.3242626.
ELSA
| DOI
| WoS
2023 | Konferenzband - Beitrag | ELSA-ID: 10787
Tebbe, Jörn, et al. “Holistic Optimization of a Dynamic Cross-Flow Filtration Process towards a Cyber-Physical System.” 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), edited by Jürgen Jasperneite et al., IEEE, 2023, pp. 1–7, https://doi.org/10.1109/INDIN51400.2023.10217913.
ELSA
| DOI
| WoS
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
Hernández Rodriguez, Tanja, et al. “Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.” Processes, vol. 10, no. 5, 883, 2022, https://doi.org/10.3390/pr10050883.
ELSA
| DOI
2022 | Konferenz - Poster | ELSA-ID: 7932
Hernández Rodriguez, Tanja, et al. A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development.
ELSA
2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
Hernández Rodriguez, Tanja, et al. “Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.” Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, edited by Ralf Pörtner and Johannes Möller, vol. special issue, MDPI, 2022, pp. 21–48, https://doi.org/10.3390/pr10050883.
ELSA
| DOI
2022 | Konferenz - Poster | ELSA-ID: 10198
Hernández Rodriguez, Tanja, et al. A Systematic, Model-Based Approach for Decision Making in Upstream Development – Considerations Regarding Clone Selection and Cell Expansion.
ELSA
2022 | Konferenzband - Beitrag | ELSA-ID: 12804
Besginow, Andreas, and Markus Lange-Hegermann. “Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations.” 36th Conference on Neural Information Processing Systems (NeurIPS 2022) , edited by S. Koyejo et al., vol. 35, Curran Associates, Inc., 2022, pp. 29386–99.
ELSA
| WoS
2021 | Konferenzband - Beitrag | ELSA-ID: 7581 |

Lange-Hegermann, Markus, et al. “AI-Based STEM Education: Generating Individualized Exercises in Mathematics.” New Perspectives in Science Education, vol. 10, Libreriauniversitaria.it, 2021, pp. 385–90.
ELSA
| Download (ext.)
2021 | Konferenzband - Beitrag | ELSA-ID: 5620 |

Lange-Hegermann, Markus, et al. “AI-Based Stem Education: Generating Individualized Exercises in Mathematics.” New Perspectives in Science Education, Libreriauniversitaria.it, 2021, pp. 385–90, doi:10.26352/F318_2384-9509.
ELSA
| DOI
| Download (ext.)
2021 | Konferenzband - Beitrag | ELSA-ID: 12786
Lange-Hegermann, Markus. “Linearly Constrained Gaussian Processes with Boundary Conditions.” 24th International Conference on Artificial Intelligence and Statistics (AISTATS), edited by A. Banerjee and K. Fukumizu, vol. 130, MLResearchPress , 2021.
ELSA
| WoS
2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, Fabian, et al. “Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0.” Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1, edited by H. Panetto et al., SCITEPRESS - Science and Technology Publications, 2020, pp. 87–92, https://doi.org/10.5220/0010130300870092.
ELSA
| DOI
| WoS