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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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03/10/2023
Deep Anomaly Detection on Tennessee Eastman Process Data
This paper provides the first comprehensive evaluation and analysis of m...
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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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01/15/2021
An Adaptive Algorithm based on High-Dimensional Function Approximation to obtain Optimal Designs
Algorithms which compute locally optimal continuous designs often rely o...
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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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01/29/2020
Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion
Activity coefficients, which are a measure of the non-ideality of liquid...
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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