A new acquisition function for Bayesian optimization based on the moment-generating function

• Bayesian Optimization

  2023 Natural computing series book-chapter Computer Science Advanced Multi-Objective Optimization Algorithms

  107

  citations
• Distinguishing normal, neuropathic and myopathic EMG with an automated machine learning approach

  2022 Clinical Neurophysiology article Engineering Muscle activation and electromyography studies Open access

  60

  citations
• Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems

  2022 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms

  2

  citations
• Multi-point acquisition function for constraint parallel efficient multi-objective optimization

  2022 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access

  8

  citations
• End-to-End Pipeline for Uncertainty Quantification and Remaining Useful Life Estimation: An Application on Aircraft Engines

  2022 PHM Society European Conference conference-paper Engineering Machine Fault Diagnosis Techniques Open access

  4

  citations
• Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance

  2022 IEEE Transactions on Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access

  22

  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
• Non-elitist Selection Can Improve the Performance of Irace

  2022 Lecture notes in computer science conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

  1

  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
• A new acquisition function for robust Bayesian optimization of unconstrained problems

  2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Decision Sciences Advanced Bandit Algorithms Research Open access

  1

  citations
• Preoperative Electroencephalography‐Based Machine Learning Predicts Cognitive Deterioration After Subthalamic Deep Brain Stimulation

  2021 Movement Disorders article Medicine Neurological disorders and treatments Open access

  23

  citations
• Bayesian neural architecture search using a training-free performance metric

  2021 Applied Soft Computing article Computer Science Machine Learning and Data Classification Open access

  24

  citations
• Machine learning for automated EEG-based biomarkers of cognitive impairment during Deep Brain Stimulation screening in patients with Parkinson’s Disease

  2021 Clinical Neurophysiology article Medicine Neurological disorders and treatments Open access

  58

  citations
• Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data

  2020 IEEE International Conference on Big Data (BigData) conference-paper Engineering Muscle activation and electromyography studies Open access

  11

  citations
• Integrated vs. sequential approaches for selecting and tuning CMA-ES variants

  2020 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

  12

  citations

15 results