@inproceedings{kalamatianos:hal-01557647,
  TITLE = {{Environmental Impact on Predicting Olive Fruit Fly Population Using Trap Measurements}},
  AUTHOR = {Kalamatianos, Romanos and Kermanidis, Katia and Avlonitis, Markos and Karydis, Ioannis},
  URL = {https://inria.hal.science/hal-01557647},
  NOTE = {Part 4: Environmental AI Modeling (ENAIM)},
  BOOKTITLE = {{12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)}},
  ADDRESS = {Thessaloniki, Greece},
  EDITOR = {Lazaros Iliadis and Ilias Maglogiannis},
  SERIES = {Artificial Intelligence Applications and Innovations},
  VOLUME = {AICT-475},
  PAGES = {180-190},
  YEAR = {2016},
  MONTH = Sep,
  DOI = {10.1007/978-3-319-44944-9\_16},
  KEYWORDS = {Olive fruit fly ; Machine learning ; Population prediction ; Classification ; Naive bayes ; Nearest neighbors ; Decision trees ; Random forests ; Support vector machines},
  PDF = {https://inria.hal.science/hal-01557647/file/430537_1_En_16_Chapter.pdf},
  HAL_ID = {hal-01557647},
  HAL_VERSION = {v1},
}