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Michael Bortz

A Quantum Optimization Case Study for a Transport Robot Scheduling Problem

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Sep 20, 2023
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Deep Anomaly Detection on Tennessee Eastman Process Data

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Mar 10, 2023
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Calibrated Simplex Mapping Classification

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Mar 04, 2021
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Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification

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Aug 27, 2020
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CupNet -- Pruning a network for geometric data

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May 11, 2020
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Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion

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Jan 29, 2020
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The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge

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Jul 24, 2019
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Optimized data exploration applied to the simulation of a chemical process

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Feb 18, 2019
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