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Based on these datasets, we propose and compare several Recurrent Neural Networks (RNNs) based multimodal (text and image) models.
Based on these datasets we investigate how the popularity of a protein relates to the reliability of its interactions described in the literature.
Based on these datasets, we identified PAS and DSE in both species, and confirmed the specificity and relevance of these signals for mRNA cleavage site prediction.
Based on these datasets, we constructed a drug cocktail network with 215 nodes and 239 edges (see Figure 1 for the visualization of this network), where nodes represent the drugs and an edge is connected if two drugs are found in an effective drug combination.
Apps based on these datasets are being created weekly in hackathons around the world and by professional data scientists.
All further actions in a client's browser are done based on these datasets.
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The same methods were then applied to infer the phylogeny based on these dataset respectively as mentioned above.
Basing on these datasets, the occupancies of the first, second, third, and fourth states of RC were found for different photoexcitation modes (Figs. 5, 6, 7, and 8).
For quality determination based on these image datasets, effective texture classification methodology is essential to handle highly dimensional images and to extract quality-related information from these product surface images.
Based on these simulated datasets, we reran the statistical analysis using Student t tests, and plotted the distribution of the observed p values across the 10,000 datasets.
Building and evaluating classifiers based on these synthetic datasets can be problematic, as it has been observed that they are not necessarily representative of real world review spam.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com