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Raoul Heese
Raoul Heese
Research Fellow at Fraunhofer ITWM
Verified email at itwm.fraunhofer.de
Title
Cited by
Cited by
Year
Informed machine learning–a taxonomy and survey of integrating prior knowledge into learning systems
L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ...
IEEE Transactions on Knowledge and Data Engineering 35 (1), 614-633, 2021
6952021
Quantum optimization: Potential, challenges, and the path forward
A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ...
arXiv preprint arXiv:2312.02279, 2023
432023
Wavelet-packets for deepfake image analysis and detection
M Wolter, F Blanke, R Heese, J Garcke
Machine Learning 111 (11), 4295-4327, 2022
302022
Optimized data exploration applied to the simulation of a chemical process
R Heese, M Walczak, T Seidel, N Asprion, M Bortz
Computers & Chemical Engineering 124, 326-342, 2019
262019
Feature selection on quantum computers
S Mücke, R Heese, S Müller, M Wolter, N Piatkowski
Quantum Machine Intelligence 5 (1), 11, 2023
202023
Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet simulations with constraints
PO Ludl, R Heese, J Höller, N Asprion, M Bortz
Frontiers of Chemical Science and Engineering 16 (2), 183-197, 2022
152022
Gradient-free quantum optimization on NISQ devices
L Franken, B Georgiev, S Muecke, M Wolter, N Piatkowski, C Bauckhage
arXiv preprint arXiv:2012.13453, 2020
122020
Representation of binary classification trees with binary features by quantum circuits
R Heese, P Bickert, AE Niederle
Quantum 6, 676, 2022
112022
Quantum optimization: Potential, challenges, and the path forward (2023)
A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ...
arXiv preprint arXiv:2312.02279, 0
11
The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge
R Heese, M Walczak, L Morand, D Helm, M Bortz
Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019
102019
Informed machine learning-a taxonomy and survey of integrating knowledge into learning systems (2020)
L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ...
arXiv preprint arXiv:1903.12394, 1903
101903
Quantum feature selection
S Mücke, R Heese, S Müller, M Wolter, N Piatkowski
82022
Entropic uncertainty relation for pointer-based simultaneous measurements of conjugate observables
R Heese, M Freyberger
Physical Review A—Atomic, Molecular, and Optical Physics 87 (1), 012123, 2013
72013
Explaining quantum circuits with shapley values: Towards explainable quantum machine learning
R Heese, T Gerlach, S Mücke, S Müller, M Jakobs, N Piatkowski
arXiv preprint arXiv:2301.09138, 2023
62023
Quantum circuit evolution on nisq devices
L Franken, B Georgiev, S Mucke, M Wolter, R Heese, C Bauckhage, ...
2022 IEEE congress on evolutionary computation (CEC), 1-8, 2022
62022
Pointer-based simultaneous measurements of conjugate observables in a thermal environment
R Heese, M Freyberger
Physical Review A 89 (5), 052111, 2014
52014
Multiplicities in thermodynamic activity coefficients
J Werner, T Seidel, R Jafar, R Heese, H Hasse, M Bortz
AIChE Journal 69 (12), e18251, 2023
42023
Calibrated simplex-mapping classification
R Heese, J Schmid, M Walczak, M Bortz
PLoS One 18 (1), e0279876, 2023
42023
The big picture of neurodegeneration: a meta study to extract the essential evidence on neurodegenerative diseases in a network-based approach
N Ruffini, S Klingenberg, R Heese, S Schweiger, S Gerber
Frontiers in aging neuroscience 14, 866886, 2022
42022
Adaptive sampling of pareto frontiers with binary constraints using regression and classification
R Heese, M Bortz
2020 25th International Conference on Pattern Recognition (ICPR), 3404-3411, 2021
32021
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Articles 1–20