Defining High Risk Landslide Areas Using Machine Learning

Byron Guerrero Rodríguez, José García Rodríguez, Jaime Salvador, Christian Mejía Escobar, Michelle B. Chen, Oswaldo Gallardo. Defining High Risk Landslide Areas Using Machine Learning. In José Manuel Ferrández de Vicente, José Ramón Álvarez Sánchez, Félix de la Paz López, Hojjat Adeli, editors, Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 - June 3, 2022, Proceedings, Part II. Volume 13259 of Lecture Notes in Computer Science, pages 183-192, Springer, 2022. [doi]

@inproceedings{RodriguezRSECG22,
  title = {Defining High Risk Landslide Areas Using Machine Learning},
  author = {Byron Guerrero Rodríguez and José García Rodríguez and Jaime Salvador and Christian Mejía Escobar and Michelle B. Chen and Oswaldo Gallardo},
  year = {2022},
  doi = {10.1007/978-3-031-06527-9_18},
  url = {https://doi.org/10.1007/978-3-031-06527-9_18},
  researchr = {https://researchr.org/publication/RodriguezRSECG22},
  cites = {0},
  citedby = {0},
  pages = {183-192},
  booktitle = {Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 - June 3, 2022, Proceedings, Part II},
  editor = {José Manuel Ferrández de Vicente and José Ramón Álvarez Sánchez and Félix de la Paz López and Hojjat Adeli},
  volume = {13259},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-06527-9},
}