Michael Bortz

According to our database, Michael Bortz authored at least 23 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization.

David Mogalle, Philipp Seufert, Jan Schwientek, Michael Bortz, Karl-Heinz Küfer

Comput. Stat., July, 2024

Hierarchical Multicriteria Optimization of Molecular Models of Water.

Aditya Kulkarni, Michael Bortz, Karl-Heinz Küfer, Maximilian Kohns, Hans Hasse

J. Chem. Inf. Model., 2024

Machine learning surrogates for the optimization of curing ovens.

Quentin Parsons, Dimitri Nowak, Michael Bortz, Tomas Johnson, Andreas Mark, Fredrik Edelvik

Eng. Appl. Artif. Intell., 2024

Cubature-based uncertainty estimation for nonlinear regression models.

Martin Bubel, Jochen Schmid, Maximilian Carmesin, Volodymyr Kozachynskyi, Erik Esche, Michael Bortz

CoRR, 2024

2023

A Decomposition Method for the Hybrid Quantum-Classical Solution of the Number Partitioning Problem.

Zongji Li, Tobias Seidel, Michael Bortz, Raoul Heese

CoRR, 2023

A Quantum Optimization Case Study for a Transport Robot Scheduling Problem.

Dominik Leib, Tobias Seidel, Sven Jäger, Raoul Heese, Caitlin Isobel Jones, Abhishek Awasthi, Astrid Elisa Niederle, Michael Bortz

CoRR, 2023

Deep Anomaly Detection on Tennessee Eastman Process Data.

Fabian Hartung, Billy Joe Franks, Tobias Michels, Dennis Wagner, Philipp Liznerski, Steffen Reithermann, Sophie Fellenz, Fabian Jirasek, Maja Rudolph, Daniel Neider, Heike Leitte, Chen Song, Benjamin Klöpper, Stephan Mandt, Michael Bortz, Jakob Burger, Hans Hasse, Marius Kloft

CoRR, 2023

2022

Simultaneous simulation and optimization of multiple dividing wall columns.

Tobias Seidel, Lena-Marie Ränger, Thomas Grützner, Michael Bortz

Comput. Chem. Eng., 2022

A Tri-Level Approach for T-Criterion-Based Model Discrimination.

David Mogalle, Philipp Seufert, Jan Schwientek, Michael Bortz, Karl-Heinz Küfer

Proceedings of the Operations Research Proceedings 2022: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), 2022

2021

Calibrated Simplex Mapping Classification.

Raoul Heese, Michal Walczak, Michael Bortz, Jochen Schmid

CoRR, 2021

Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones?

Charlie Vanaret, Philipp Seufert, Jan Schwientek, Gleb Karpov, Gleb V. Ryzhakov, Ivan V. Oseledets, Norbert Asprion, Michael Bortz

Comput. Chem. Eng., 2021

CupNet - Pruning a Network for Geometric Data.

Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Multi-Objective Optimization of Dividing Wall Columns and Visualization of the High-Dimensional Results.

Lena-Marie Ränger, Martin von Kurnatowski, Michael Bortz, Thomas Grützner

Comput. Chem. Eng., 2020

Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification.

Raoul Heese, Michael Bortz

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Shells within Minimum Enclosing Balls.

Christian Bauckhage, Michael Bortz, Rafet Sifa

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Pareto Optimization and Decision Making in Process Design.

Michael Bortz

PhD thesis, 2019

Optimized data exploration applied to the simulation of a chemical process.

Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz

Comput. Chem. Eng., 2019

A Two-Phase Approach for Model-Based Design of Experiments Applied in Chemical Engineering.

Jan Schwientek, Charlie Vanaret, Johannes Höller, Patrick Schwartz, Philipp Seufert, Norbert Asprion, Roger Böttcher, Michael Bortz

Proceedings of the Operations Research Proceedings 2019, 2019

The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge.

Raoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018

Challenges in process optimization for new feedstocks and energy sources.

Alexander Mitsos, Norbert Asprion, Christodoulos A. Floudas, Michael Bortz, Michael Baldea, Dominique Bonvin, Adrian Caspari, Pascal Schäfer

Comput. Chem. Eng., 2018

2014

Multi-criteria optimization in chemical process design and decision support by navigation on Pareto sets.

Michael Bortz, Jakob Burger, Norbert Asprion, Sergej Blagov, Roger Böttcher, U. Nowak, A. Scheithauer, Richard Welke, Karl-Heinz Küfer, Hans Hasse

Comput. Chem. Eng., 2014

2004

OXC port dimensioning strategies in optical networks-a nodal perspective.

Ahmed Mokhtar, Mokhtar Lotfi Benmohamed, Michael Bortz

IEEE Commun. Lett., 2004

2003

Exploring single and dual rail optical network architectures using reliability predictions.

B. Manseur, Ahmed Mokhtar, Michael Bortz

Proceedings of the Fourth International Workshop on Design of Reliable Communication Networks, 2003