我们的题目为"An Early Stage Convolutional Feature Extracting Method Using for Mining Traffic Detection"的论文被期刊《Computer Communications》接收！
我们的题目为"Similarity-evaluation-based evolving of flexible neural trees for imbalanced classification"的论文被期刊《Applied Soft Computing》接收！
我们的题目为"A Novel Feature Method for Fast Extraction of Mining Traffic"的论文被会议2021 IEEE International Conference on High Performance Computing and Communications接收！
我们的题目为"Flexible Neural Tree Based on Similarity Evaluation with an Application in Video Traffic Identification"的论文被期刊《Journal of Computer Research and Development》接收！
我们的题目为"Gaussian Distribution based Oversampling for Imbalanced Data Classification"的论文被期刊《 IEEE Transactions on Knowledge and Data Engineering》接收！
我们的题目为"Generative Learning for Imbalanced Data Using the Gaussian Mixed Model"的论文被期刊《Applied Soft Computing》接收！
我们的题目为"Imbalanced Data Gravitation Classification Model Using For Internet Video Traffic Identification"的论文被会议2019 IEEE BigDataSecurity接收！
我们的题目为"Imbalanced learning based on adaptive weighting and Gaussian function synthesizing with an application on Android malware detection"的论文被期刊《Information Sciences》在线发表！