132 citations · 207 across the 3 of their papers we have counts for
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cs.NI2021★ 132 cited
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Hojjat Navidan, Parisa Fard Moshiri, Mohammad Nabati +4
Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute an extensively researched machine learning sub-field for the creation of synthetic data t…
eess.SP2021★ 71 cited
Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach
Mohammad Nabati, Hojjat Navidan, Reza Shahbazian +2
Human-centered data collection is typically costly and implicates issues of privacy. Various solutions have been proposed in the literature to reduce this cost, such as crowdsource…