Search alternatives:
learning derived » learning driven (Expand Search), learning curve (Expand Search), learning curves (Expand Search)
derived decrease » derived urease (Expand Search), observed decrease (Expand Search)
marked decrease » marked increase (Expand Search)
learning derived » learning driven (Expand Search), learning curve (Expand Search), learning curves (Expand Search)
derived decrease » derived urease (Expand Search), observed decrease (Expand Search)
marked decrease » marked increase (Expand Search)
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Relationship between ordinal regression and binary classification performance.
Published 2025Subjects: -
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A novel RNN architecture to improve the precision of ship trajectory predictions
Published 2025“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”
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Evaluation of the effectiveness of double task.
Published 2025“…With the development of deep learning, deep learning-based methods are becoming more popular for fundus OCT image segmentation. …”
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Evaluation of the effectiveness of pruning.
Published 2025“…With the development of deep learning, deep learning-based methods are becoming more popular for fundus OCT image segmentation. …”