APA (7th ed.) Citation

Arcolezi, H. H., Couchot, J., Renaud, D., Al Bouna, B., & Xiao, X. (2022). Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation? Neural computing & applications, 34(16), 13355-13369. https://doi.org/10.1007/s00521-022-07393-0

Chicago Style (17th ed.) Citation

Arcolezi, Héber Hwang, Jean-François Couchot, Denis Renaud, Bechara Al Bouna, and Xiaokui Xiao. "Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility with Deep Learning: Input or Gradient Perturbation?" Neural Computing & Applications 34, no. 16 (2022): 13355-13369. https://doi.org/10.1007/s00521-022-07393-0.

MLA (9th ed.) Citation

Arcolezi, Héber Hwang, et al. "Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility with Deep Learning: Input or Gradient Perturbation?" Neural Computing & Applications, vol. 34, no. 16, 2022, pp. 13355-13369, https://doi.org/10.1007/s00521-022-07393-0.