One-dimensional convolutional neural network and hybrid deep-learning paradigm for classification of specific language impaired children using their speech

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations

Computing, Computer Science, Artificial Intelligence +12

Understanding the difficulty of training deep feedforward neural networks

Xavier Glorot, Yoshua Bengio · 2010 · 12.7K citations

Computing, Computer Science, Artificial Intelligence +13

Sensitivity, Specificity, and Predictive Values: Foundations, Pliabilities, and Pitfalls in Research and Practice

Robert Trevethan · Frontiers in Public Health · 2017 · 1.6K citations · Full text

Medicine, Biostatistics, Clinical Epidemiology +14

The relationship between Recall and Precision

Michael K. Buckland, Fredric C. Gey · Journal of the American Society for Information Science · 1994 · 960 citations · Full text

Social Sciences, Computer Science, Cognitive Psychology +8

Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals

U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh et al. · Information Sciences · 2017 · 933 citations

Engineering, Biomedical Engineering, Cardiology +17