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Rubin, D., Fekete, T. & Mujica-Parodi, L. R. Optimizing complexity measures for FMRI data: algorithm, artifact, and sensitivity.
An intelligent data algorithm is proposed in a practical application.
The benchmarks compare favorably to those obtained via a parallel replicated data algorithm.
Study designs were very diverse regarding the specification of their administrative data algorithm (code selections, follow-up) and definitions of HAI presence.
He is a winner of the Kentucky Innovation Award (2015) for the application of his proprietary BBN big data algorithm.
For high-throughput analysis of data algorithm, speed is clearly important.
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Modeling scientist: Models, training data, algorithms.
You can use big data algorithms.
Meeting this challenge is not simply about deploying big data algorithms.
How do we embed our biases in big data algorithms?
Why? Blaser: When making predictions with data, algorithms tend to be superior to humans.
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