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CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration.

Ryosuke ShibukawaShoichi IshidaKazuki YoshizoeKunihiro WasaKiyosei TakasuYasushi OkunoKei TerayamaKoji Tsuda
Published in: J. Cheminformatics (2020)
Keyphrases
  • conceptual framework
  • database
  • probabilistic model
  • main contribution
  • neural network
  • machine learning
  • image segmentation
  • recommender systems
  • planning problems
  • uncertain environments