APA (7th ed.) Citation

Guo, X., Zhang, H., Ye, L., & Li, S. (2021). TenLa: An approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases. Applied Intelligence, 51(4), 2233. https://doi.org/10.1007/s10489-020-01912-z

Chicago Style (17th ed.) Citation

Guo, Xiaoding, Hongli Zhang, Lin Ye, and Shang Li. "TenLa: An Approach Based on Controllable Tensor Decomposition and Optimized Lasso Regression for Judgement Prediction of Legal Cases." Applied Intelligence 51, no. 4 (2021): 2233. https://doi.org/10.1007/s10489-020-01912-z.

MLA (9th ed.) Citation

Guo, Xiaoding, et al. "TenLa: An Approach Based on Controllable Tensor Decomposition and Optimized Lasso Regression for Judgement Prediction of Legal Cases." Applied Intelligence, vol. 51, no. 4, 2021, p. 2233, https://doi.org/10.1007/s10489-020-01912-z.