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09/18/2023
A Quantum Optimization Case Study for a Transport Robot Scheduling Problem
We present a comprehensive case study comparing the performance of D-Wav...
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01/22/2023
Explainable Quantum Machine Learning
Methods of artificial intelligence (AI) and especially machine learning ...
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01/19/2023
Shapley Values with Uncertain Value Functions
We propose a novel definition of Shapley values with uncertain value fun...
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03/24/2022
Quantum Feature Selection
In machine learning, fewer features reduce model complexity. Carefully a...
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08/30/2021
On the effects of biased quantum random numbers on the initialization of artificial neural networks
Recent advances in practical quantum computing have led to a variety of ...
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08/30/2021
Representation of binary classification trees with binary features by quantum circuits
We propose a quantum representation of binary classification trees with ...
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03/04/2021
Calibrated Simplex Mapping Classification
We propose a novel supervised multi-class/single-label classifier that m...
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08/27/2020
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification
We present a novel adaptive optimization algorithm for black-box multi-o...
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05/11/2020
CupNet – Pruning a network for geometric data
Using data from a simulated cup drawing process, we demonstrate how the ...
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07/24/2019
The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge
We address a non-unique parameter fitting problem in the context of mate...
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02/18/2019
