Sentence examples for datasets team from inspiring English sources

Exact(1)

The final step of the analysis involved merging the two participant datasets (team members and key-informants/stakeholders), which in turn bolstered the study's validity through multiple triangulation (i.e., data and methodological triangulation) [ 23].

Similar(59)

Data were subsequently validated by a second expert reviewer on the OI-DDI dataset team.

By creating this training dataset, the team will use algorithms to identify adaptations in previously unidentified works.

The biggest challenge is in scaling up these efforts, with large datasets from every team's latest research following open-science principles: fully accessible, associated with well-defined metadata and using interoperable formats.

Is it unreasonable to wonder whether the potential dataset for the team's work is 2 billion, the total number of Facebook users?

Goldman Sachs, an investment bank, employs a similar approach, but uses an unofficial dataset for a team's world ranking (as it has a longer history); looks at current form (measured by the number of goals scored in the ten most recent matches); and places greater emphasis on home advantage and whether teams have performed well at previous World Cups (tellingly, England have not).

This is especially helpful when exploring the same dataset in a team, as it preserves different useful configurations like e.g. the selected features, clustering, and 3D embedding settings.

If a Duke researcher were to submit a dataset our curation team thought would benefit from further examination by a curator with domain knowledge, we will now reach out to the potential depositor to receive clearance to submit the data to the network.

We find that there is a lack of publicly available team sports datasets suitable for multi-target tracking.

In the DREAM challenge a team uses datasets of all four types of perturbations and multiple simulations to collectively infer a network.

In order to manage the above process and the distribution of the data across the project team, the datasets were stored in a central online document repository.

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