W3106169594

• A Step towards Interpretable Multimodal AI Models with MultiFIX

  2025 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access

  0

  citations
• Improving the efficiency of GP-GOMEA for higher-arity operators

  2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access

  7

  citations
• Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals

  2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access

  2

  citations
• Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression

  2024 Lecture notes in computer science conference-paper Computer Science Evolutionary Algorithms and Applications Open access

  3

  citations
• Evolvability degeneration in multi-objective genetic programming for symbolic regression

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

  15

  citations
• Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models

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

  12

  citations
• Validation and Comparison of Radiograph-Based Organ Dose Reconstruction Approaches for Wilms Tumor Radiation Treatment Plans

  2022 Advances in Radiation Oncology article Physics and Astronomy Advanced Radiotherapy Techniques Open access

  4

  citations
• Gene-pool Optimal Mixing in Cartesian Genetic Programming

  2022 Lecture notes in computer science conference-paper Computer Science Evolutionary Algorithms and Applications Open access

  2

  citations
• Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy

  2020 Physics in Medicine and Biology article Physics and Astronomy Advanced Radiotherapy Techniques Open access

  3

  citations
• Machine learning for the prediction of pseudorealistic pediatric abdominal phantoms for radiation dose reconstruction

  2020 Journal of medical imaging article Medicine Radiation Dose and Imaging Open access

  15

  citations

10 results