HIGHLIGHTS
- who: Xiaoyu Wu and Ning Wang from the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China have published the Article: Detecting Errors with Zero-Shot Learning, in the Journal: Entropy 2022, 24, 936. of /2022/
- what: The authors propose an AEGAN (Auto-Encoder Generative Adversarial Network)-based deep learning model named SAT-GAN (Self-Attention Generative Adversarial Network) to detect errors in relational datasets. For the lack of negative samples the authors propose to train the model via zero-shot learning. The authors propose a framework that can recognize error data as . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.