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Showing 1 to 2 of 2 for “"predictive diagnostics"”.

  1. Learning from class-imbalanced data: overlap-driven resampling for imbalanced data classification.

    … successful application of the methods in predictive diagnostics of diseases with imbalanced records is presented. These novel overlap-based approaches have several advantages over other common resampling methods. First, the undersampling amount is independent of class imbalance and …

    rgu Repository record for Learning from class-imbalanced data: overlap-driven resampling for imbalanced data classification. (opens in a new tab)

  2. Biological applications, visualizations, and extensions of the long short-term memory network

    Sequences are ubiquitous in the domain of biology. One of the current best machine learning techniques for analysing sequences is the long short-term memory (LSTM) network. Owing to significant barriers to adoption in biology, focussed efforts are required to realize the use of LSTMs in practice. …

    cambridge Repository record for Biological applications, visualizations, and extensions of the long short-term memory network (opens in a new tab)