… data from 2004 to 2010 along with Mixer 6 for a total of about 63k recordings from 4.4k speakers.
The four data augmentation … increase the amount of training data and to improve the ro- …

… flipped for data augmentation, and randomly cropped to 224x224 pixels, and were then fed
to the network. For training residual networks, we used scale augmentation as described in …

… this study two sixth-grade Chinese dual language immersion classes play a digital game in
eight sessions across four weeks. Audio data … Although the game in this study was designed …

… contours and available ground survey data, with the survey data taking precedence over
the … to collate and manipulate the available ground survey data into 2D surfaces quickly and …

… deviation and insufficient information of data samples, the former is further divided into three
categories of style transfer, multi-view generation, and data augmentation. For the labeling …

Recommender systems are effective tools of information filtering that are prevalent due to
continuous popularization of the Internet, personalization trends, and changing habits of …

… data of aerial survey photographs and maps as the main source of reference, because these
data … Also this type of survey data and map are more likely to be archived by public entity or …

… In the second stage, the model uses text classification methods or machine reading …
Aiming at the problem of data sparseness, a data augmentation method based on slot value …

… data augmentation and multi-task learning, aiming to address the issue of unbalanced data
and insufficient labeled data … [Methods] Firstly, we extracted the text features of public health …

… Additionally, we model the Role Classification as a large-scale text classification task. There
… In our approach to data augmentation, we treat all fields at the same level as sentence id, …