Ngā tūemi rite

• Using a library of chemical reactions to fit systems of ordinary differential equations to agent-based models: a machine learning approach
  mā: Burrage, Pamela M., me ētahi atu.
  I whakaputaina: (2023)
• Towards Learning Stochastic Population Models by Gradient Descent
  mā: Kreikemeyer, Justin N., me ētahi atu.
  I whakaputaina: (2024)
• Using (Not-so) Large Language Models to Generate Simulation Models in a Formal DSL: A Study on Reaction Networks
  mā: Kreikemeyer, Justin N., me ētahi atu.
  I whakaputaina: (2025)
• SSRCA: a novel machine learning pipeline to perform sensitivity analysis for agent-based models
  mā: Rohr, Edward H., me ētahi atu.
  I whakaputaina: (2025)
• Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis
  mā: Partin, Alexander, me ētahi atu.
  I whakaputaina: (2025)