123 citations · 419 across the 31 of their papers we have counts for
6 papers · 1 filter
Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs
Jörg Stork, Philip Wenzel, Severin Landwein +8
We have built a novel system for the surveillance of drinking water reservoirs using underwater sensor networks. We implement an innovative AI-based approach to detect, classify an…
Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization
Eva Bartz, Martin Zaefferer, Olaf Mersmann +1
Machine learning algorithms such as random forests or xgboost are gaining more importance and are increasingly incorporated into production processes in order to enable comprehensi…
Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots
Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein +1
Most evolutionary robotics studies focus on evolving some targeted behavior without taking the energy usage into account. This limits the practical value of such systems because en…
Behavior-based Neuroevolutionary Training in Reinforcement Learning
Jörg Stork, Martin Zaefferer, Nils Eisler +3
In addition to their undisputed success in solving classical optimization problems, neuroevolutionary and population-based algorithms have become an alternative to standard reinfor…
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis
Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür +9
Crises like the COVID-19 pandemic pose a serious challenge to health-care institutions. They need to plan the resources required for handling the increased load, for instance, hosp…
Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT
Thomas Bartz-Beielstein, Frederik Rehbach, Amrita Sen +1
A surrogate model based hyperparameter tuning approach for deep learning is presented. This article demonstrates how the architecture-level parameters (hyperparameters) of deep lea…