Raoul Heese

Orcid: 0000-0001-7479-3339

According to our database1, Raoul Heese authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
On the effects of biased quantum random numbers on the initialization of artificial neural networks.
Mach. Learn., 2024

2023
Feature selection on quantum computers.
Quantum Mach. Intell., June, 2023

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems.
IEEE Trans. Knowl. Data Eng., 2023

Quantum Wave Function Collapse for Procedural Content Generation.
CoRR, 2023

A Decomposition Method for the Hybrid Quantum-Classical Solution of the Number Partitioning Problem.
CoRR, 2023

A Quantum Optimization Case Study for a Transport Robot Scheduling Problem.
CoRR, 2023

Explainable Quantum Machine Learning.
CoRR, 2023

Shapley Values with Uncertain Value Functions.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

2022
Representation of binary classification trees with binary features by quantum circuits.
Quantum, 2022

Wavelet-packets for deepfake image analysis and detection.
Mach. Learn., 2022

Quantum Feature Selection.
CoRR, 2022

Quantum Circuit Evolution on NISQ Devices.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Calibrated Simplex Mapping Classification.
CoRR, 2021

CupNet - Pruning a Network for Geometric Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Optimized data exploration applied to the simulation of a chemical process.
Comput. Chem. Eng., 2019

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


  Loading...