no code implementations • 5 Apr 2024 • Mohammed Ghaith Altarabichi, Sławomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl
This paper investigates how various randomization techniques impact Deep Neural Networks (DNNs).
no code implementations • 28 Feb 2023 • Syu-Ning Johnn, Victor-Alexandru Darvariu, Julia Handl, Joerg Kalcsics
ALNS is a popular metaheuristic with renowned efficiency in solving combinatorial optimisation problems.
no code implementations • 1 Jul 2021 • Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Ken W. Dunn
To improve homogeneity in resource usage and severity, we propose a data-driven model and the inclusion of patient-level costing.
2 code implementations • 13 Feb 2021 • Cameron Shand, Richard Allmendinger, Julia Handl, Andrew Webb, John Keane
Here, we argue that synthetic datasets must continue to play an important role in the evaluation of clustering algorithms, but that this necessitates constructing benchmarks that appropriately cover the diverse set of properties that impact clustering algorithm performance.