Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction

Edigley Fraga, Ana Cortés, Andrés Cencerrado, Porfidio Hernández, Tomàs Margalef. Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction. In Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira, editors, Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part VI. Volume 12142 of Lecture Notes in Computer Science, pages 17-30, Springer, 2020. [doi]

@inproceedings{FragaCCHM20,
  title = {Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction},
  author = {Edigley Fraga and Ana Cortés and Andrés Cencerrado and Porfidio Hernández and Tomàs Margalef},
  year = {2020},
  doi = {10.1007/978-3-030-50433-5_2},
  url = {https://doi.org/10.1007/978-3-030-50433-5_2},
  researchr = {https://researchr.org/publication/FragaCCHM20},
  cites = {0},
  citedby = {0},
  pages = {17-30},
  booktitle = {Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part VI},
  editor = {Valeria V. Krzhizhanovskaya and Gábor Závodszky and Michael Harold Lees and Jack J. Dongarra and Peter M. A. Sloot and Sérgio Brissos and João Teixeira},
  volume = {12142},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-50433-5},
}