Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

• Data-driven prediction of dynamic elastic properties in short fiber-reinforced thermoplastics

  2026 Computational Mechanics article Engineering Composite Material Mechanics

  0

  citations
• Learning curves for decision making in supervised machine learning: a survey

  2024 Machine Learning article Computer Science Machine Learning and Data Classification Open access

  65

  citations
• Artificial Intelligence‐Based Detection of Local Spots in Network Materials Prone to Mechanical Failure

  2024 PAMM article Materials Science Machine Learning in Materials Science Open access

  0

  citations
• Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems

  2024 Journal of Intelligent Manufacturing article Engineering Scheduling and Optimization Algorithms Open access cited by 2 patents

  43

  citations
• Developing Artificial Neural Networks to Estimate the Fatigue Strength of Structural Steel Details Using the New European Database

  2024 SSRN Electronic Journal preprint Engineering Fatigue and fracture mechanics Open access

  0

  citations
• Generative learning‐based model for the prediction of 2D stress distribution

  2023 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

  5

  citations
• Hyperparameter importance and optimization of quantum neural networks across small datasets

  2023 Machine Learning article Computer Science Quantum Computing Algorithms and Architecture Open access

  26

  citations
• MultiGML: Multimodal graph machine learning for prediction of adverse drug events

  2023 Heliyon article Computer Science Computational Drug Discovery Methods Open access

  22

  citations
• More than accuracy: end-to-end wind power forecasting that optimises the energy system

  2023 Electric Power Systems Research article Engineering Energy Load and Power Forecasting Open access

  57

  citations
• Fast and Informative Model Selection Using Learning Curve Cross-Validation

  2023 IEEE Transactions on Pattern Analysis and Machine Intelligence article Computer Science Machine Learning and Data Classification Open access cited by 2 patents

  63

  citations
• MultiGML: Multimodal Graph Machine Learning for Prediction of Adverse Drug Events

  2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access

  3

  citations
• Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms

  2022 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

  7

  citations
• Detecting flooding state in extraction columns: Convolutional neural networks vs. a white‐box approach for image‐based soft sensor development

  2022 Computers & Chemical Engineering article Engineering Fault Detection and Control Systems

  11

  citations
• Explainable Artificial Intelligence for Mechanics: Physics-Explaining Neural Networks for Constitutive Models

  2022 Frontiers in Materials article Physics and Astronomy Model Reduction and Neural Networks Open access

  41

  citations
• IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics

  2022 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access

  61

  citations
• An Efficient Contesting Procedure for AutoML Optimization

  2022 IEEE Access article Computer Science Machine Learning and Data Classification Open access

  11

  citations
• Efficient AutoML via Combinational Sampling

  2021 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Machine Learning and Data Classification Open access

  3

  citations
• Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems

  2021 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Machine Learning and Data Classification Open access

  12

  citations
• Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules

  2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

  49

  citations

19 results