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- [11] Generative Adversarial Networks as an Advanced Data Augmentation Technique for MRI Data PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISAPP), VOL 5, 2019, : 48 - 59
- [12] DCNN Augmentation via Synthetic Data from Variational Autoencoders and Generative Adversarial Networks 2018 IEEE APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP (AIPR), 2018,
- [14] Fast Data-Driven Simulation of Cherenkov Detectors Using Generative Adversarial Networks 19TH INTERNATIONAL WORKSHOP ON ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH, 2020, 1525
- [15] Data-driven Method of Renewable Energy Based on Generative Adversarial Networks and EnergyPLAN PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 938 - 943
- [16] Data-Driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT I, 2019, 11764 : 75 - 83
- [17] Data-driven modeling of noise time series with convolutional generative adversarial networks * MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2023, 4 (03):
- [18] Creation of Synthetic Data with Conditional Generative Adversarial Networks 14TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2019), 2020, 950 : 231 - 240
- [20] Wasserstein Generative Adversarial Networks Based Data Augmentation for Radar Data Analysis APPLIED SCIENCES-BASEL, 2020, 10 (04):