Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns

Daniel Priori, Giseli de Sousa, Mauro Roisenberg, Christopher Stopford, Evelyn Hesse, Emmanuel Salawu, Neil Davey, Yi Sun. Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns. In Alessandro E. P. Villa, Paolo Masulli, Antonio Javier Pons Rivero, editors, Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. Volume 9887 of Lecture Notes in Computer Science, pages 372-379, Springer, 2016. [doi]

@inproceedings{PrioriSRSHSDS16,
  title = {Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns},
  author = {Daniel Priori and Giseli de Sousa and Mauro Roisenberg and Christopher Stopford and Evelyn Hesse and Emmanuel Salawu and Neil Davey and Yi Sun},
  year = {2016},
  doi = {10.1007/978-3-319-44781-0_44},
  url = {http://dx.doi.org/10.1007/978-3-319-44781-0_44},
  researchr = {https://researchr.org/publication/PrioriSRSHSDS16},
  cites = {0},
  citedby = {0},
  pages = {372-379},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II},
  editor = {Alessandro E. P. Villa and Paolo Masulli and Antonio Javier Pons Rivero},
  volume = {9887},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-44780-3},
}