Martin Zaefferer

62 papers A 11B 4C 1Journal 23Unranked 13

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Quantum computer based feature selection in machine learning. IET Quantum Commun. Gerhard Hellstern, Vanessa Dehn, Martin Zaefferer
2023	—	`ch.`	Case Study I: Tuning Random Forest (Ranger). Hyperparameter Tuning for Machine and Deep Learning with R Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach, Martin Zaefferer
2023	—	`ch.`	Case Study IV: Tuned Reinforcement Learning (in Python). Hyperparameter Tuning for Machine and Deep Learning with R Martin Zaefferer, Sowmya Chandrasekaran
2023	—	`ch.`	Global Study: Influence of Tuning. Hyperparameter Tuning for Machine and Deep Learning with R Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein
2023	—	`ch.`	Hyperparameter Tuning Approaches. Hyperparameter Tuning for Machine and Deep Learning with R Thomas Bartz-Beielstein, Martin Zaefferer
2023	—	`book`	Hyperparameter Tuning for Machine and Deep Learning with R - A Practical Guide Eva Bartz, Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann
2023	—	`ch.`	Models. Hyperparameter Tuning for Machine and Deep Learning with R Thomas Bartz-Beielstein, Martin Zaefferer
2023	J	`jnl`	The first AI4TSP competition: Learning to solve stochastic routing problems. Artif. Intell. Yingqian Zhang, Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Robbert Reijnen, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki
2023	—	`ch.`	Tuning: Methodology. Hyperparameter Tuning for Machine and Deep Learning with R Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann
2022	J	`jnl`	Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm. IEEE Trans. Evol. Comput. Frederik Rehbach, Martin Zaefferer, Andreas Fischbach, Günter Rudolph, Thomas Bartz-Beielstein
2022	J	`jnl`	The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. CoRR Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Yingqian Zhang, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki
2021	J	`jnl`	Behavior-based Neuroevolutionary Training in Reinforcement Learning. CoRR Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben
2021	—	`conf`	Behavior-based neuroevolutionary training in reinforcement learning. GECCO Companion Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben
2021	J	`jnl`	Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization. CoRR Eva Bartz, Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein
2021	B	`conf`	Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic. CEC Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Tom Lawton, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer
2021	J	`jnl`	Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis. CoRR Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer
2021	—	`conf`	Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis. GECCO Companion Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, A. Sen, Aleksandr Subbotin, Martin Zaefferer
2021	J	`jnl`	Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs. CoRR Jörg Stork, Philip Wenzel, Severin Landwein, María-Elena Algorri, Martin Zaefferer, Wolfgang Kusch, Martin Staubach, Thomas Bartz-Beielstein, Hartmut Köhn, Hermann Dejager, Christian Wolf
2020	—	`conf`	Continuous Optimization Benchmarks by Simulation. PPSN (1) Martin Zaefferer, Frederik Rehbach
2020	J	`jnl`	Continuous Optimization Benchmarks by Simulation. CoRR Martin Zaefferer, Frederik Rehbach
2020	J	`jnl`	Expected Improvement versus Predicted Value in Surrogate-Based Optimization. CoRR Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein
2020	A	`conf`	Expected improvement versus predicted value in surrogate-based optimization. GECCO Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein
2020	—	`ch.`	Open Issues in Surrogate-Assisted Optimization. High-Performance Simulation-Based Optimization Jörg Stork, Martina Friese, Martin Zaefferer, Thomas Bartz-Beielstein, Andreas Fischbach, Beate Breiderhoff, Boris Naujoks, Tea Tusar
2020	J	`jnl`	Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools. CoRR Tom Peetz, Sebastian Vogt, Martin Zaefferer, Thomas Bartz-Beielstein
2020	—	`ch.`	Towards Better Integration of Surrogate Models and Optimizers. High-Performance Simulation-Based Optimization Tinkle Chugh, Alma A. M. Rahat, Vanessa Volz, Martin Zaefferer
2020	—	`conf`	Understanding the Behavior of Reinforcement Learning Agents. BIOMA Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
2019	J	`jnl`	An empirical approach for probing the definiteness of kernels. Soft Comput. Martin Zaefferer, Thomas Bartz-Beielstein, Günter Rudolph
2019	B	`conf`	Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels. EvoApplications Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
2019	J	`jnl`	Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels. CoRR Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
2019	—	`conf`	Prediction of neural network performance by phenotypic modeling. GECCO (Companion) Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier
2019	J	`jnl`	Prediction of neural network performance by phenotypic modeling. CoRR Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier
2019	J	`jnl`	Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning. CoRR Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
2019	A	`conf`	Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning. GECCO Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
2019	A	`conf`	Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis. GECCO Daniel Horn, Jörg Stork, Nils-Jannik Schüßler, Martin Zaefferer
2018	—	`conf`	A First Analysis of Kernels for Kriging-Based Optimization in Hierarchical Search Spaces. PPSN (2) Martin Zaefferer, Daniel Horn
2018	J	`jnl`	A First Analysis of Kernels for Kriging-based Optimization in Hierarchical Search Spaces. CoRR Martin Zaefferer, Daniel Horn
2018	J	`jnl`	An Empirical Approach For Probing the Definiteness of Kernels. CoRR Martin Zaefferer, Thomas Bartz-Beielstein, Günter Rudolph
2018	A	`conf`	Comparison of parallel surrogate-assisted optimization approaches. GECCO Frederik Rehbach, Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein
2018	J	`jnl`	Distance-based Kernels for Surrogate Model-based Neuroevolution. CoRR Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
2018	—	`conf`	Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. PPSN (2) Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein
2018	J	`jnl`	Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. CoRR Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein
2018	A	`conf`	Surrogate assisted optimization of particle reinforced metal matrix composites. GECCO Lorenzo Gentile, Martin Zaefferer, Dario Giugliano, Haofeng Chen, Thomas Bartz-Beielstein
2018	—	`—`	Surrogate models for discrete optimization problems Martin Zaefferer
2017	J	`jnl`	In a Nutshell: Sequential Parameter Optimization. CoRR Thomas Bartz-Beielstein, Lorenzo Gentile, Martin Zaefferer
2017	J	`jnl`	Model-based methods for continuous and discrete global optimization. Appl. Soft Comput. Thomas Bartz-Beielstein, Martin Zaefferer
2017	A	`conf`	Simulation-based test functions for optimization algorithms. GECCO Martin Zaefferer, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein
2016	A	`conf`	Efficient Global Optimization with Indefinite Kernels. PPSN Martin Zaefferer, Thomas Bartz-Beielstein
2016	J	`jnl`	Multi-fidelity modeling and optimization of biogas plants. Appl. Soft Comput. Martin Zaefferer, Daniel Gaida, Thomas Bartz-Beielstein
2016	A	`conf`	Tutorials at PPSN 2016. PPSN Carola Doerr, Nicolas Bredèche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis, Carlos M. Fonseca, Andreia P. Guerreiro, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malagò, Juan Julián Merelo Guervós, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer
2015	J	`jnl`	Comparison of different Methods for Univariate Time Series Imputation in R. CoRR Steffen Moritz, Alexis Sardá, Thomas Bartz-Beielstein, Martin Zaefferer, Jörg Stork
2014	A	`conf`	Distance Measures for Permutations in Combinatorial Efficient Global Optimization. PPSN Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein
2014	A	`conf`	Efficient global optimization for combinatorial problems. GECCO Martin Zaefferer, Jörg Stork, Martina Friese, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein
2014	A	`conf`	Tuning multi-objective optimization algorithms for cyclone dust separators. GECCO Martin Zaefferer, Beate Breiderhoff, Boris Naujoks, Martina Friese, Jörg Stork, Andreas Fischbach, Oliver Flasch, Thomas Bartz-Beielstein
2013	C	`conf`	A Case Study on Multi-Criteria Optimization of an Event Detection Software under Limited Budgets. EMO Martin Zaefferer, Thomas Bartz-Beielstein, Boris Naujoks, Tobias Wagner, Michael Emmerich
2013	B	`conf`	Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data. EvoApplications Oliver Flasch, Martina Friese, Katya Vladislavleva, Thomas Bartz-Beielstein, Olaf Mersmann, Boris Naujoks, Jörg Stork, Martin Zaefferer
2013	—	`conf`	How to create meaningful and generalizable results. GECCO (Companion) Thomas Bartz-Beielstein, Martin Zaefferer, Boris Naujoks
2012	—	`conf`	Multi-criteria optimization for hard problems under limited budgets. GECCO (Companion) Martin Zaefferer, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Oliver Flasch
2012	—	`conf`	SPOT applied to non-stochastic optimization problems: an experimental study. GECCO (Companion) Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Martin Zaefferer
2012	—	`conf`	Sequential parameter optimization for symbolic regression. GECCO (Companion) Thomas Bartz-Beielstein, Oliver Flasch, Martin Zaefferer
2012	—	`conf`	Statistical analysis of optimization algorithms with R. GECCO (Companion) Thomas Bartz-Beielstein, Mike Preuß, Martin Zaefferer
2011	—	`conf`	Noisy optimization with sequential parameter optimization and optimal computational budget allocation. GECCO (Companion) Thomas Bartz-Beielstein, Martina Friese, Martin Zaefferer, Boris Naujoks, Oliver Flasch, Wolfgang Konen, Patrick Koch
2010	B	`conf`	Optimization of biogas production with computational intelligence a comparative study. IEEE Congress on Evolutionary Computation Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oliver Flasch, Wolfgang Konen, Martin Zaefferer