Additional file 3: Figure S3. (A) Performance of automatic classifications as measured by the global accuracy and (B) number of activities in the budget, as a function of the sampling frequency at which data were recorded, in the 61 reviewed classifications (from 54 articles, including our study) [26, 32, 52–54, 68–115]
Efforts to better understand patterns of animal behaviour have often been restricted by several envi...
Efforts to better understand patterns of animal behaviour have often been restricted by several env...
International audienceAssessing the state and trend of biodiversity in the face of anthropogenic thr...
Additional file 4: Figure S4. Performance of automatic classifications as measured by the global acc...
Additional file 6: Table S2. Systematic review on published articles that automatically classified a...
Additional file 2: Figure S2. Performances of the algorithm (after classification and revision) on t...
Additional file 1: Figure S1. Classification performance of the algorithm used in the study, showing...
The routine collection of long‐time acoustic recordings of animals in the field presents new challen...
Abstract Background Studies on animal behaviour often involve the quantification of the occurrence a...
The development and use of automated species detection technologies, such as acoustic recorders, for...
Automated signal recognition software is increasingly used to extract species detection data from ac...
1. Surveying wildlife communities provides data for informing conservation and management decisions ...
Efforts to better understand patterns of animal behaviour have often been restricted by several envi...
Efforts to better understand patterns of animal behaviour have often been restricted by several envi...
Efforts to better understand patterns of animal behaviour have often been restricted by several envi...
Efforts to better understand patterns of animal behaviour have often been restricted by several envi...
Efforts to better understand patterns of animal behaviour have often been restricted by several env...
International audienceAssessing the state and trend of biodiversity in the face of anthropogenic thr...
Additional file 4: Figure S4. Performance of automatic classifications as measured by the global acc...
Additional file 6: Table S2. Systematic review on published articles that automatically classified a...
Additional file 2: Figure S2. Performances of the algorithm (after classification and revision) on t...
Additional file 1: Figure S1. Classification performance of the algorithm used in the study, showing...
The routine collection of long‐time acoustic recordings of animals in the field presents new challen...
Abstract Background Studies on animal behaviour often involve the quantification of the occurrence a...
The development and use of automated species detection technologies, such as acoustic recorders, for...
Automated signal recognition software is increasingly used to extract species detection data from ac...
1. Surveying wildlife communities provides data for informing conservation and management decisions ...
Efforts to better understand patterns of animal behaviour have often been restricted by several envi...
Efforts to better understand patterns of animal behaviour have often been restricted by several envi...
Efforts to better understand patterns of animal behaviour have often been restricted by several envi...
Efforts to better understand patterns of animal behaviour have often been restricted by several envi...
Efforts to better understand patterns of animal behaviour have often been restricted by several env...
International audienceAssessing the state and trend of biodiversity in the face of anthropogenic thr...