5 citations · 10 across the 4 of their papers we have counts for
4 papers
From Data Quality to Model Quality: an Exploratory Study on Deep Learning
Tianxing He, Shengcheng Yu, Ziyuan Wang +2
Nowadays, people strive to improve the accuracy of deep learning models. However, very little work has focused on the quality of data sets. In fact, data quality determines model q…
A Preliminary Study on Data Augmentation of Deep Learning for Image Classification
Benlin Hu, Cheng Lei, Dong Wang +2
Deep learning models have a large number of freeparameters that need to be calculated by effective trainingof the models on a great deal of training data to improvetheir generaliza…
NeuralVis: Visualizing and Interpreting Deep Learning Models
Xufan Zhang, Ziyue Yin, Yang Feng +3
Deep Neural Network(DNN) techniques have been prevalent in software engineering. They are employed to faciliatate various software engineering tasks and embedded into many software…
Testing as an Investment
Xiaoran Xu, Chunrong Fang, Qing Wu +2
Software testing is an expensive and important task. Plenty of researches and industrial efforts have been invested on improving software testing techniques, including criteria, to…