SAGe: a configurable code generator for efficient symbolic analysis of time-series

Luca Cerina, Marco D. Santambrogio. SAGe: a configurable code generator for efficient symbolic analysis of time-series. SIGBED Review, 17(1):12-17, 2020. [doi]

@article{CerinaS20,
  title = {SAGe: a configurable code generator for efficient symbolic analysis of time-series},
  author = {Luca Cerina and Marco D. Santambrogio},
  year = {2020},
  doi = {10.1145/3412821.3412823},
  url = {https://doi.org/10.1145/3412821.3412823},
  researchr = {https://researchr.org/publication/CerinaS20},
  cites = {0},
  citedby = {0},
  journal = {SIGBED Review},
  volume = {17},
  number = {1},
  pages = {12-17},
}