Profile of Raoul Heese

Fields of Activity / Competences

  • Machine Learning
  • Quantum Computing
  • Software Development

 

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