Efficient Approaches for Data Augmentation by Using Generative Adversarial Networks

Pretom Kumar Saha; Doina Logofătu

doi:10.1007/978-3-031-08223-8_32

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Efficient Approaches for Data Augmentation by Using Generative Adversarial Networks

Pretom Kumar Saha Doina Logofătu

Year: 2022 Communications in computer and information science Pages: 386-399 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-08223-8_32

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Keywords:

Computer science Discriminator Hyperparameter Generator (circuit theory) Set (abstract data type) Generative grammar Adversarial system Graph Data set Machine learning Data mining Artificial intelligence Theoretical computer science

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Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Digital Media Forensic Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Efficient Approaches for Data Augmentation by Using Generative Adversarial Networks

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