| The first AI4TSP competition: Learning to solve stochastic routing problems Y Zhang, L Bliek, P da Costa, RR Afshar, R Reijnen, T Catshoek, D Vos, ... Artificial Intelligence 319, 103918, 2023 | 4 | 2023 |
| Quantum computer based feature selection in machine learning G Hellstern, V Dehn, M Zaefferer IET Quantum Communication, 2023 | 2 | 2023 |
| Tuning: Methodology T Bartz-Beielstein, M Zaefferer, O Mersmann Hyperparameter Tuning for Machine and Deep Learning with R: A Practical …, 2023 | 1 | 2023 |
| Case Study I: Tuning Random Forest (Ranger) T Bartz-Beielstein, S Chandrasekaran, F Rehbach, M Zaefferer Hyperparameter Tuning for Machine and Deep Learning with R: A Practical …, 2023 | 1 | 2023 |
| Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide E Bartz, T Bartz-Beielstein, M Zaefferer, O Mersmann Springer Nature, 2023 | 34 | 2023 |
| Global Study: Influence of Tuning M Zaefferer, O Mersmann, T Bartz-Beielstein Hyperparameter Tuning for Machine and Deep Learning with R: A Practical …, 2023 | 1 | 2023 |
| Hyperparameter Tuning Approaches T Bartz-Beielstein, M Zaefferer Hyperparameter Tuning for Machine and Deep Learning with R: A Practical …, 2023 | 2 | 2023 |
| Case Study IV: Tuned Reinforcement Learning (in Python) M Zaefferer, S Chandrasekaran Hyperparameter Tuning for Machine and Deep Learning with R: A Practical …, 2023 | 1 | 2023 |
| Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm F Rehbach, M Zaefferer, A Fischbach, G Rudolph, T Bartz-Beielstein IEEE Transactions on Evolutionary Computation 26 (6), 1365-1379, 2022 | 5 | 2022 |
| Benchmark-Driven Algorithm Configuration Applied to Parallel Model-Based Optimization F Rehbach, M Zaefferer, A Fischbach, G Rudolph, T Bartz-Beielstein TechRxiv, 2022 | | 2022 |
| The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems L Bliek, P da Costa, RR Afshar, Y Zhang, T Catshoek, D Vos, S Verwer, ... arXiv preprint arXiv:2201.10453, 2022 | 1 | 2022 |
| Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs J Stork, P Wenzel, S Landwein, ME Algorri, M Zaefferer, W Kusch, ... arXiv preprint arXiv:2107.13977, 2021 | 1 | 2021 |
| Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization E Bartz, M Zaefferer, O Mersmann, T Bartz-Beielstein arXiv preprint arXiv:2107.08761, 2021 | 10 | 2021 |
| Behavior-based neuroevolutionary training in reinforcement learning J Stork, M Zaefferer, N Eisler, P Tichelmann, T Bartz-Beielstein, AE Eiben Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 7 | 2021 |
| Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis T Bartz-Beielstein, M Dröscher, A Gür, A Hinterleitner, O Mersmann, ... Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 3 | 2021 |
| Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic T Bartz-Beielstein, M Dröscher, A Gür, A Hinterleitner, T Lawton, ... 2021 IEEE Congress on Evolutionary Computation (CEC), 728-735, 2021 | 8 | 2021 |
| Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT T Bartz-Beielstein, F Rehbach, A Sen, M Zaefferer arXiv preprint arXiv:2105.14625, 2021 | | 2021 |
| Sequential Parameter Optimization for Mixed-Discrete Problems L Gentile, T Bartz-Beielstein, M Zaefferer Optimization Under Uncertainty with Applications to Aerospace Engineering …, 2021 | 2 | 2021 |
| High-Lift Devices Topology Robust Optimisation Using Machine Learning Assisted Optimisation L Gentile, E Morales, M Zaefferer, E Minisci, D Quagliarella, ... International Conference on Uncertainty Quantification & Optimisation, 297-313, 2020 | | 2020 |
| Understanding the Behavior of Reinforcement Learning Agents J Stork, M Zaefferer, T Bartz-Beielstein, AE Eiben International Conference on Bioinspired Methods and Their Applications, 148-160, 2020 | 4 | 2020 |
Thomas Bartz-BeielsteinTH Koeln, Institute for Data Science, Engineering, and AnalyticsVerified email at th-koeln.de