Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers

no code implementations • 27 Jun 2022 • Georg Siedel, Silvia Vock, Andrey Morozov, Stefan Voß

Furthermore, we observe unexpected optima in classifiers robust accuracy through training and testing classifiers with different levels of noise.

Data Augmentation

Metaheuristics "In the Large"

no code implementations • 19 Nov 2020 • Jerry Swan, Steven Adriaensen, Alexander E. I. Brownlee, Kevin Hammond, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, J. J. Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David R. White

We describe our vision and report on progress, showing how the adoption of common protocols for all metaheuristics can help liberate the potential of the field, easing the exploration of the design space of metaheuristics.

From Digitalization to Data-Driven Decision Making in Container Terminals

no code implementations • 29 Apr 2019 • Leonard Heilig, Robert Stahlbock, Stefan Voß

With the new opportunities emerging from the current wave of digitalization, terminal planning and management need to be revisited by taking a data-driven perspective.

Decision Making Management