Jiaming Hu

TL;DR: This work proposes a set of heuristics for automatically labeling domain names monitored in real traffic, and shows that such heuristically labeled data is very useful in practice to improve the predictive accuracy of deep learning-based DGA classifiers, and that these deep neural networks significantly outperform a random forest classifier with human engineered features.

TL;DR: The BioDepot-workflow-builder (Bwb) as mentioned in this paper allows users to create and execute reproducible bioinformatics workflows using a drag-and-drop interface.

TL;DR: It is demonstrated that interactive notebooks can be used to disseminate a wide range of bioinformatics analyses, and it is anticipated that these interactive software notebooks will become as ubiquitous and necessary for documenting software methods as traditional laboratory notebooks have been for documenting bench protocols.

TL;DR: In this paper , the authors evaluate a deep learning model, Tiny Sleep Net, to illustrate the limitations of the deep learning models in the task of sleep staging predication, and the results showed that the neural network is susceptible to the hyperparameter and the exact number of epochs generated.