… to achieve better accuracy by consuming less computational … of the faster RCNN model
based on the results of the … rule-based approach and N-gram model on the base of their …

… As well, the model could provide better results than state of the art result. … [11] used a
model based on multiple resnet deep learning and word2vec for the analysis of URLs to detect …

… Deep convolutional neural networks are used to tag every element of the opinionated
remarks. Additionally, study looked for ways to enhance the current strategy and contrasted our …

… Our proposed model performs better … Deep convolutional neural networks for sentiment
analysis of short texts. In Proceedings of the 25th International Conference on Computational …

… a better performing language model. We … model based on our proposed approach. During
the testing phase, we test our semantic Markov memorization model on a set of sentences with …

… model with a deep neural network, and it is proved that the classification performance of deep
neural network is better … NVD dataset, but the word vector model constructed by the TF-IDF …

… in classification tasks, and how to enhance the model interpretability is a recognized question
worth … model based on the quantum mechanics and two kinds of deep learning methods is …

… user actions at home to make smart home security better. … A weighted mixture deep neural
network (WMDNN) is … the-art methods and the proposed model based on one short learning. It …

… Finally, it was determined that the best classification performance was achieved when
the improved convolutional neural network parameters were taken from Table 2. …

… corpus of security reports directly as we are obliged to introduce campaign triggers to enhance
the classification performance of our model. Concretely, the sentence input to our model …