1. Abadi M, Agarwal A, Barham P, Brevdo E, Chen Z, Citro C, Corrado GS, Davis A, Dean J, Devin M, Ghemawat S, Goodfellow I, Harp A, Irving G, Isard M, Jia Y, Jozefowicz R, Kaiser L, Kudlur M, Levenberg J, Mané D, Monga R, Moore S, Murray D, Olah C, Schuster M, Shlens J, Steiner B, Sutskever I, Talwar K, Tucker P, Vanhoucke V, Vasudevan V, Viégas F, Vinyals O, Warden P, Wattenberg M, Wicke M, Yu Y, Zheng X (2015) TensorFlow: large-scale machine learning on heterogeneous systems. Software available from tensorflow.org
2. Ahn Y, Lin Y-R (2019) Fairsight: visual analytics for fairness in decision making. IEEE Trans Vis Comput Gr 26(1):1086–1095
3. Bai S, Kolter JZ, Koltun V (2018) An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv preprint arXiv:1803.01271
4. Bai Z, Tao Y, Lin H (2020) Time-varying volume visualization: a survey. J Vis 23(5):745–761
5. Bernard J, Hutter M, Zeppelzauer M, Fellner D, Sedlmair M (2017) Comparing visual-interactive labeling with active learning: an experimental study. IEEE Trans Vis Comput Gr 24(1):298–308