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

Summary

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Authors: 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

Journal title: Burhanudin , U F , Maund , J R , Killestein , T , Ackley , K , Dyer , M J , Lyman , J , Ulaczyk , K , Cutter , R , Mong , Y -L , Steeghs , D , Galloway , D K , Dhillon , V , O'Brien , P , Ramsay , G , Noysena , K , Kotak , R , Breton , R P , Nuttall , L , Pallé , E , Pollacco , D , Thrane , E , Awiphan , S , Chote , P , Chrimes , A , Daw , E , Duffy , C , Eyles-Ferris , R , Gompertz , B , Heikkil

Journal number: 2

Journal publisher: Blackwell Publishing Inc.

Published year: 2021

DOI identifier: 10.1093/mnras/stab1545

ISSN: 0035-8711