Analysing differences between algorithm configurations through ablation

• Quantifying Model Uncertainty with AutoML and Rashomon Partial Dependence Profiles: Enabling Trustworthy and Human-centered XAI

  2026 Information Systems Frontiers article Computer Science Explainable Artificial Intelligence (XAI) Open access

  0

  citations
• Automated machine learning: past, present and future

  2024 Artificial Intelligence Review article Computer Science Machine Learning and Data Classification Open access

  146

  citations
• Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems

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

  2

  citations
• AutoML Loss Landscapes

  2022 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Machine Learning and Data Classification cited by 1 patent

  16

  citations
• AutoDiagnosis: Automatic Data-Driven Configuration of an Automotive Fault Diagnosis Algorithm Using Noisy Two-Stage Optimization

  2022 Lecture notes in control and information sciences - proceedings conference-paper Engineering Fault Detection and Control Systems

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• Setting Up Configuration Spaces and Experiments

  2022 Cognitive technologies book-chapter Computer Science Machine Learning and Data Classification Open access

  4

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• Greybox Algorithm Configuration

  2021 conference-paper Computer Science Machine Learning and Data Classification Open access

  0

  citations
• Model-Based Algorithm Configuration with Default-Guided Probabilistic Sampling

  2020 Lecture notes in computer science conference-paper Computer Science Metaheuristic Optimization Algorithms Research

  5

  citations

8 results