Han, J., Zheng, H., Xing, Y., Chen, D. Z., & Wang, C. (2021). V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data. IEEE transactions on visualization and computer graphics, 27(2), 1290. https://doi.org/10.1109/TVCG.2020.3030346
Style de citation ChicagoHan, Jun, Hao Zheng, Yunhao Xing, Danny Z. Chen, et Chaoli Wang. "V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data." IEEE Transactions on Visualization and Computer Graphics 27, no. 2 (2021): 1290. https://dx.doi.org/10.1109/TVCG.2020.3030346.
Style de citation MLAHan, Jun, et al. "V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data." IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 2, 2021, p. 1290.