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Light-curve classification with recurrent neural networks for GOTO: Dealing with imbalanced data

  • U. F. Burhanudin
  • , J. R. Maund
  • , T. Killestein
  • , K. Ackley
  • , M. J. Dyer
  • , J. Lyman
  • , K. Ulaczyk
  • , R. Cutter
  • , Y. L. Mong
  • , D. Steeghs
  • , D. K. Galloway
  • , V. Dhillon
  • , P. O'Brien
  • , G. Ramsay
  • , K. Noysena
  • , R. Kotak
  • , R. P. Breton
  • , L. Nuttall
  • , E. Pallé
  • , D. Pollacco
    • E. Thrane, S. Awiphan, P. Chote, A. Chrimes, E. Daw, C. Duffy, R. Eyles-Ferris, B. Gompertz, T. Heikkilä, P. Irawati, M. R. Kennedy, A. Levan, S. Littlefair, L. Makrygianni, D. Mata-Sánchez, S. Mattila, J. McCormac, D. Mkrtichian, J. Mullaney, U. Sawangwit, E. Stanway, R. Starling, P. Strøm, S. Tooke, K. Wiersema

Research output: Contribution to journal › Article › peer-review

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