Matches in SemOpenAlex for { <https://semopenalex.org/work/W2892434327> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W2892434327 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." @default.
- W2892434327 created "2018-10-05" @default.
- W2892434327 creator A5018014670 @default.
- W2892434327 creator A5035291502 @default.
- W2892434327 creator A5055453770 @default.
- W2892434327 date "2018-05-01" @default.
- W2892434327 modified "2023-10-16" @default.
- W2892434327 title "Decision Tree Ensemble Vs. N.N. Deep Learning: Efficiency Comparison For A Small Image Dataset" @default.
- W2892434327 cites W137456267 @default.
- W2892434327 cites W1559822779 @default.
- W2892434327 cites W1903469757 @default.
- W2892434327 cites W1991129553 @default.
- W2892434327 cites W2081894181 @default.
- W2892434327 cites W2139650227 @default.
- W2892434327 cites W2158445854 @default.
- W2892434327 cites W2282654031 @default.
- W2892434327 cites W2293643016 @default.
- W2892434327 cites W2335472136 @default.
- W2892434327 cites W2397225121 @default.
- W2892434327 cites W2919115771 @default.
- W2892434327 doi "https://doi.org/10.1109/iwbis.2018.8471704" @default.
- W2892434327 hasPublicationYear "2018" @default.
- W2892434327 type Work @default.
- W2892434327 sameAs 2892434327 @default.
- W2892434327 citedByCount "6" @default.
- W2892434327 countsByYear W28924343272019 @default.
- W2892434327 countsByYear W28924343272020 @default.
- W2892434327 countsByYear W28924343272022 @default.
- W2892434327 countsByYear W28924343272023 @default.
- W2892434327 crossrefType "proceedings-article" @default.
- W2892434327 hasAuthorship W2892434327A5018014670 @default.
- W2892434327 hasAuthorship W2892434327A5035291502 @default.
- W2892434327 hasAuthorship W2892434327A5055453770 @default.
- W2892434327 hasBestOaLocation W28924343272 @default.
- W2892434327 hasConcept C10229987 @default.
- W2892434327 hasConcept C108583219 @default.
- W2892434327 hasConcept C113174947 @default.
- W2892434327 hasConcept C11413529 @default.
- W2892434327 hasConcept C115961682 @default.
- W2892434327 hasConcept C119857082 @default.
- W2892434327 hasConcept C120136583 @default.
- W2892434327 hasConcept C124101348 @default.
- W2892434327 hasConcept C134306372 @default.
- W2892434327 hasConcept C153180895 @default.
- W2892434327 hasConcept C154945302 @default.
- W2892434327 hasConcept C162324750 @default.
- W2892434327 hasConcept C187736073 @default.
- W2892434327 hasConcept C2780451532 @default.
- W2892434327 hasConcept C33923547 @default.
- W2892434327 hasConcept C41008148 @default.
- W2892434327 hasConcept C45374587 @default.
- W2892434327 hasConcept C45942800 @default.
- W2892434327 hasConcept C50644808 @default.
- W2892434327 hasConcept C5481197 @default.
- W2892434327 hasConcept C84525736 @default.
- W2892434327 hasConceptScore W2892434327C10229987 @default.
- W2892434327 hasConceptScore W2892434327C108583219 @default.
- W2892434327 hasConceptScore W2892434327C113174947 @default.
- W2892434327 hasConceptScore W2892434327C11413529 @default.
- W2892434327 hasConceptScore W2892434327C115961682 @default.
- W2892434327 hasConceptScore W2892434327C119857082 @default.
- W2892434327 hasConceptScore W2892434327C120136583 @default.
- W2892434327 hasConceptScore W2892434327C124101348 @default.
- W2892434327 hasConceptScore W2892434327C134306372 @default.
- W2892434327 hasConceptScore W2892434327C153180895 @default.
- W2892434327 hasConceptScore W2892434327C154945302 @default.
- W2892434327 hasConceptScore W2892434327C162324750 @default.
- W2892434327 hasConceptScore W2892434327C187736073 @default.
- W2892434327 hasConceptScore W2892434327C2780451532 @default.
- W2892434327 hasConceptScore W2892434327C33923547 @default.
- W2892434327 hasConceptScore W2892434327C41008148 @default.
- W2892434327 hasConceptScore W2892434327C45374587 @default.
- W2892434327 hasConceptScore W2892434327C45942800 @default.
- W2892434327 hasConceptScore W2892434327C50644808 @default.
- W2892434327 hasConceptScore W2892434327C5481197 @default.
- W2892434327 hasConceptScore W2892434327C84525736 @default.
- W2892434327 hasLocation W28924343271 @default.
- W2892434327 hasLocation W28924343272 @default.
- W2892434327 hasLocation W28924343273 @default.
- W2892434327 hasOpenAccess W2892434327 @default.
- W2892434327 hasPrimaryLocation W28924343271 @default.
- W2892434327 hasRelatedWork W1129665612 @default.
- W2892434327 hasRelatedWork W2350430350 @default.
- W2892434327 hasRelatedWork W2357775939 @default.
- W2892434327 hasRelatedWork W2558685994 @default.
- W2892434327 hasRelatedWork W2738041616 @default.
- W2892434327 hasRelatedWork W4245868659 @default.
- W2892434327 hasRelatedWork W4293786841 @default.
- W2892434327 hasRelatedWork W4302004071 @default.
- W2892434327 hasRelatedWork W2095993105 @default.
- W2892434327 hasRelatedWork W3151201323 @default.
- W2892434327 isParatext "false" @default.
- W2892434327 isRetracted "false" @default.
- W2892434327 magId "2892434327" @default.
- W2892434327 workType "article" @default.