Fraunhofer Institute for Industrial Mathematics ITWMFields of Activity / Competences
- Machine Learning
- Quantum Computing
- Software Development
Profile of Raoul Heese
Fields of Activity / Competences
Fraunhofer-Publica
A collection of publications by Raoul Heese in the Fraunhofer-Publica
| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2023 | Shapley Values with Uncertain Value Functions Heese, Raoul; Mücke, Sascha; Jakobs, Matthias; Gerlach, Thore Thassilo; Piatkowski, Nico |
Konferenzbeitrag Conference Paper |
| 2023 | Feature selection on quantum computers Mücke, Sascha; Heese, Raoul; Müller, Sabine; Wolter, Moritz; Piatkowski, Nico |
Zeitschriftenaufsatz Journal Article |
| 2023 | Fast and Non-Invasive Evaluation of Yeast Viability in Fermentation Processes Using Raman Spectroscopy and Machine Learning Heese, Raoul; Wetschky, Jens; Rohmer, Carina; Bailer, Susanne; Bortz, Michael |
Zeitschriftenaufsatz Journal Article |
| 2023 | Calibrated simplex-mapping classification Heese, Raoul; Schmid, Jochen; Walczak, Michał; Bortz, Michael |
Zeitschriftenaufsatz Journal Article |
| 2023 | Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems Rueden, Laura von; Mayer, Sebastian; Beckh, Katharina; Georgiev, Bogdan; Giesselbach, Sven; Heese, Raoul; Kirsch, Birgit; Walczak, Michal; Pfrommer, Julius; Pick, Annika; Ramamurthy, Rajkumar; Garcke, Jochen; Bauckhage, Christian; Schuecker, Jannis |
Zeitschriftenaufsatz Journal Article |
| 2023 | Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning Heese, Raoul; Gerlach, Thore Thassilo; Mücke, Sascha; Müller, Sabine; Jakobs, Matthias; Piatkowski, Nico |
Paper |
| 2023 | A Quantum Optimization Case Study for a Transport Robot Scheduling Problem Leib, Dominik; Seidel, Tobias; Jäger, Sven; Heese, Raoul; Jones, Caitlin Isobel; Awasthi, Abhishek; Niederle, Astrid Elisa; Bortz, Michael |
Paper |
| 2023 | Shapley Values with Uncertain Value Functions Heese, Raoul; Mücke, Sascha; Jakobs, Matthias; Gerlach, Thore Thassilo; Piatkowski, Nico |
Paper |
| 2022 | Quantum Circuit Evolution on NISQ Devices Franken, Lukas; Georgiev, Bogdan; Mücke, Sascha; Wolter, Moritz; Heese, Raoul; Bauckhage, Christian; Piatkowski, Nico |
Konferenzbeitrag Conference Paper |
| 2022 | Quantum Feature Selection Mücke, Sascha; Heese, Raoul; Müller, Sabine; Wolter, Moritz; Piatkowski, Nico |
Paper |
| 2022 | Representation of binary classification trees with binary features by quantum circuits Heese, Raoul; Bickert, Patricia; Niederle , Astrid Elisa |
Zeitschriftenaufsatz Journal Article |
| 2022 | The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach Ruffini, N.; Klingenberg, S.; Heese, Raoul; Schweiger, S.; Gerber, S. |
Zeitschriftenaufsatz Journal Article |
| 2022 | Modeling and optimizing dynamic networks: Applications in process engineering and energy supply Mohring, Jan; Schmid, Jochen; Wlazlo, Jaroslaw; Heese, Raoul; Gerlach, Thomas; Kochenburger, Thomas; Bortz, Michael |
Aufsatz in Buch Book Article |
| 2022 | Wavelet-packets for deepfake image analysis and detection Wolter, Moritz; Blanke, Felix; Heese, Raoul; Garcke, Jochen |
Zeitschriftenaufsatz Journal Article |
| 2022 | Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet simulations with constraints Ludl, P.O.; Heese, R.; Höller, J.; Asprion, N.; Bortz, M. |
Zeitschriftenaufsatz Journal Article |
| 2021 | Calibrated Simplex Mapping Classification Heese, Raoul; Walczak, Michal; Bortz, Michael; Schmid, Jochen |
Paper |
| 2021 | Adaptive sampling of Pareto frontiers with binary constraints using regression and classification Heese, R.; Bortz, M. |
Konferenzbeitrag Conference Paper |
| 2021 | CupNet - Pruning a Network for Geometric Data Heese, Raoul; Morand, Lukas; Helm, Dirk; Bortz, Michael |
Konferenzbeitrag Conference Paper |
| 2020 | CupNet - Pruning a network for geometric data Heese, Raoul; Morand, Lukas; Helm, Dirk; Bortz, Michael |
Vortrag Presentation |
| 2020 | Some Aspects of Combining Data and Models in Process Engineering Heese, Raoul; Nies, Julia; Bortz, Michael |
Zeitschriftenaufsatz Journal Article |
| 2019 | Informed Machine Learning - A Taxonomy and Survey of Integrating Knowledge into Learning Systems Rüden, Laura von; Mayer, Sebastian; Beckh, Katharina; Georgiev, Bogdan; Giesselbach, Sven; Heese, Raoul; Kirsch, Birgit; Pfrommer, Julius; Pick, Annika; Ramamurthy, Rajkumar; Schuecker, Jannis; Garcke, Jochen; Bauckhage, Christian; Walczak, Michal |
Paper |
| 2019 | The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge Heese, R.; Walczak, M.; Morand, L.; Helm, D.; Bortz, M. |
Konferenzbeitrag Conference Paper |
| 2019 | Optimized data exploration applied to the simulation of a chemical process Heese, Raoul; Walczak, Michal; Seidel, Tobias; Asprion, Norbert; Bortz, Michael |
Zeitschriftenaufsatz Journal Article |
| 2019 | Estimating mixture properties from batch distillation using semi-rigorous and rigorous models Bortz, M.; Heese, R.; Scherrer, A.; Gerlach, T.; Runowski, T. |
Konferenzbeitrag Conference Paper |
| 2018 | Flowsheet Simulation and Optimization Supported by Machine Learning Methods Bortz, Michael; Heese, Raoul; Walczak, Michal; Asprion, Norbert; Gonzalez-Garay, Andres |
Zeitschriftenaufsatz Journal Article |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica