%Aigaion2 BibTeX export from HES SO Valais Publications
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@INPROCEEDINGS{,
     author = {Treboux, Jerome and Genoud, Dominique and Ingold, Rolf},
      month = may,
      title = {Decision Tree Ensemble vs. N.N. Deep Learning: Efficiency Comparison for a Small Image Dataset},
       year = {2018},
  publisher = {Inproceedings of the 2018 International Workshop on Big Data and Information Security},
   location = {Jakarta, Indonesia},
        doi = {10.1109/IWBIS.2018.8471704},
   abstract = {This paper presents a study of the efficiency of machine learning algorithms applied on an image recognition task. The dataset is composed of aerial GeoTIFF images of 5 different vineyards taken with a drone. It presents the application of two different classification algorithms with an efficiency comparison over a small dataset. A Neural Network algorithm for classification through the TensorFlow platform will be explained first, and a Decision Tree Ensemble algorithm for classification through a machine learning platform will be explained second. This work shows that the accuracy of the Decision Tree Ensemble algorithm (94.27\%) outperforms the accuracy of the Deep Learning algorithm (91.22\%). This result is based on the final detection accuracy as well as on the computation time.}
}