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doi: 10.5281/zenodo.3978389 , 10.5281/zenodo.5893592 , 10.5281/zenodo.3733849 , 10.5281/zenodo.3746982 , 10.5281/zenodo.2667815 , 10.5281/zenodo.3757402 , 10.5281/zenodo.4415030 , 10.5281/zenodo.2667814 , 10.5281/zenodo.2667816 , 10.5281/zenodo.3766488 , 10.5281/zenodo.4662200 , 10.5281/zenodo.2667813 , 10.5281/zenodo.2667818 , 10.5281/zenodo.5823556
doi: 10.5281/zenodo.3978389 , 10.5281/zenodo.5893592 , 10.5281/zenodo.3733849 , 10.5281/zenodo.3746982 , 10.5281/zenodo.2667815 , 10.5281/zenodo.3757402 , 10.5281/zenodo.4415030 , 10.5281/zenodo.2667814 , 10.5281/zenodo.2667816 , 10.5281/zenodo.3766488 , 10.5281/zenodo.4662200 , 10.5281/zenodo.2667813 , 10.5281/zenodo.2667818 , 10.5281/zenodo.5823556
Hybrid convolutional-recurrent neural networks for segmentation of birdsong and classification of elements
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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