NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit Introduction NeuralClassifier is designed for quick implementation of neural models for hierarchical ...

Correction: Automatically detecting and correcting the angle of the tilted document to ensure the text is horizontal ... a ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

The application of artificial neural network (ANN) techniques to spectroscopy has proven to be a powerful tool for the rapid and accurate classification of experimental samples. However, despite the ...

However, specific applications of these techniques in CNS drug discovery have not been widely reported. In this study, we developed the CNSMolGen model, which uses a framework of bidirectional ...

In this paper, a nonlinear activation function (NAF) is proposed to constructed three recurrent neural network (RNN) models (Simple RNN (SRNN) model, Long Short-term Memory (LSTM) model and Gated ...

Recurrent neural networks (RNNs) have shown outstanding performance for natural language processing tasks, influenced by the repeated multiplication of the recurrent weight matrices, the problem of ...