Papers matching “Bayesian hyperparameter optimization” 39
Not finding it? Sign in to also search OpenAlex live.
-
Systematic framework for deep learning-based predictive injection control with Bayesian hyperparameter optimization for a hydrogen/diesel dual-fuel engine2025 Control Engineering Practice article Chemical Engineering Advanced Combustion Engine Technologies Open access cited by 1 patent
Hossein Mehnatkesh, Alexander Winkler, Edward Sperling, Javad Kheyrollahi, Mahdi Shahbakhti, David C. Gordon, +1 more
14citations -
Surrogate-based automated hyperparameter optimization for expensive automotive crashworthiness optimization2025 Structural and Multidisciplinary Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access
Fu Xing Long, Bas van Stein, Moritz A. Frenzel, Markus Gitterle, Thomas Bäck
10citations -
A Guide to Bayesian Optimization in Bioprocess Engineering2026 RWTH Publications (RWTH Aachen) article Engineering Process Optimization and Integration Open access
Maximilian Siska, Emma Pajak, Katrin Rosenthal, Ehecatl Antonio del Rio‐Chanona, Eric von Lieres und Wilkau, Laura M. Helleckes
0citations -
Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym2023 IEEE Transactions on Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access
Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud
10citations -
Generating Cheap Representative Functions for Expensive Automotive Crashworthiness Optimization2024 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access
Fu Xing Long, Bas van Stein, Moritz A. Frenzel, Markus Gitterle, Thomas Bäck
8citations -
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems2021 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Machine Learning and Data Classification Open access
Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, +1 more
12citations -
Searchlight Optimization Using Representational Similarity Analysis for Subject-Level Voxel Selection in Emotional State Decoding2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Functional Brain Connectivity Studies Open access
Xuelei Wang, Jana Zweerings, Michael Lührs, Fengyu Cong, Klaus Mathiak, David E.J. Linden, +3 more
0citations -
Optimizing Pavement Maintenance with AI: A Data-Driven Framework Integrating Optimization and Machine Learning2026 International Journal of Pavement Research and Technology article Engineering Infrastructure Maintenance and Monitoring Open access
Tiago Tamagusko, Sérgio Copetti Callai, Matheus Gomes Correia, A M Ferreira
2citations -
Learning multiple defaults for machine learning algorithms2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Machine Learning and Data Classification Open access
Florian Pfisterer, Jan N. van Rijn, Philipp Probst, Andreas Christian Müller, Bernd Bischl
28citations -
Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data2022 International Conference on Computer and Automation Engineering conference-paper Computer Science Seismology and Earthquake Studies Open access
Fan Yang, Marios Kefalas, Anna V. Kononova, Yanan Qiao, Thomas Bäck
11citations