IEEE

MLog: Mogrifier LSTM-Based Log Anomaly Detection Approach Using Semantic Representation

Abstract: Streaming logs provide valuable information for complex systems in diagnosing system faults or conducting security analysis. Although the log sequence anomaly detection has drawn more and ...
IEEE

Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches

Abstract: In recent years, national economies are highly affected by crop yield predictions. By early prediction, the market price can be predicted, importing, and exporting plan can be provided, ...
GitHub

Attention-based LSTM with Aspect Embedding (ATAE-LSTM)

This is an application of "Attention-based LSTM for Aspect-level Sentiment Classification" by Yequan Wang, Minlie Huang, Li Zhao, and Xiaoyan Zhu. The Attention-based LSTM with Aspect Embedding ...